Dec 2, 2014 | Article, Volume 4 - Issue 5
Qi Shi, Xi Liu, Wade Leuwerke
This study sought to examine students’ perceptions of their school counselors in two high schools in Beijing, China. Independent t tests found that female students rated school counselors’ availability significantly higher than male students did. Also, students who had received prior counseling services rated counselors significantly higher in the following areas than did students who had never received counseling services: knowledge of achievement tests, friendliness and approachability, understanding students’ point of view, advocating for students, promptness in responding to requests, ability to explain things clearly, reliability to keep promises, availability, and overall effectiveness. A 2 × 2 between-subjects ANOVA found an interaction effect between gender and use or nonuse of counseling services. In general, students gave positive evaluations of school counselors and were satisfied with counseling services.
Keywords: school counselors; counseling services; students’ perceptions; high schools; Beijing, China
China has been experiencing dramatic economic and social changes in the past 3 decades (Guthrie, 2012). During this time there has been increased attention to both mental health problems and student development (Cyranoski, 2010; Lim, Lim, Michael, Cai, & Schock, 2010; Xin & Zhang, 2009). It has been estimated that at least 17.5% of the Chinese population has some form of mental illness, one of the highest rates in the world (Phillips et al., 2009), accounting for about 20% of hospitalizations in the country (Fei, 2006). Facing significant mental health challenges, several authors have noted the need for more counseling professionals and mental health service providers (Cook, Lei, & Chiang, 2010; Davey & Zhao, 2012). In rural areas with fewer resources, the demand for mental health care is even greater (Ji, 2000).
Given such great needs for mental health services, China has been making tremendous efforts in reforming its mental health service system (Tse, Ran, Huang, & Zhu, 2013). In 2004, China launched the 686 Project, a mental health reform initiative modeled on the World Health Organization’s recommended framework for integrating hospital-based services with a community mental health service system (Ma, 2012). By the end of 2011, 1.83 million Chinese people with severe mental illness had been treated as a result of the project.
While China has witnessed growth in the counseling profession, at the same time it has struggled to build national certification and licensing standards, and create comprehensive counselor training (Chang & Kleinman, 2002; Cook et al., 2010; Davey & Zhao, 2012; Ding, Kuo, & Van Dyke, 2008; Hou & Zhang, 2007). In 2002, China’s National Counseling Licensing Board was formed, and there is currently a three-tier national licensing program. More than 30 locations throughout China offer the qualification exams for counselors, and recently a national exam to license school counselors was instituted (Lim et al., 2010). Results from a nationwide survey of professional training of mental health practitioners in China showed that quality of training and supervision were among common concerns (Gao et al., 2010). Also, more accredited professional training programs at the university or college level must be designed and established. Beijing Normal University, in collaboration with Rowan University in the United States, was reported to be the first university in China to offer a school counseling training program (Lim et al., 2010).
Mental Health of Students in China
Increased attention to student well-being has shown high prevalence of mental health problems among Chinese students (Cook et al., 2010; Wang & Miao, 2001). Common psychological problems among students included test anxiety, academic pressure, loneliness, social discomfort, video game addiction (Thomason & Qiong, 2008), Internet addiction, child obesity, self-centeredness and reclusion (Worrell, 2008). A study from a metropolitan area in southeastern China showed that 10.8% of high school students had mental health concerns including hostility, compulsions, depression and interpersonal relationship sensitivity (Hu, 1994). A more recent survey conducted by Wu et al. (2012) among 1,891 high school students in a southern city in China showed that 25% of the adolescents reported a perceived need for mental health services, while only 5% of the sample had used school-based mental health services, and 4% had used non-school-based services.
Researchers are starting to identify factors that contribute to Chinese students’ mental health problems, including the pressure to achieve academic success (Corbin Dwyer & McNaughton, 2004; Thomason & Qiong, 2008; Worrell, 2008), being an only child (Liu, Munakata, & Onuoha, 2005; Thomason & Qiong, 2008; Worrell, 2008), prevalence of physical abuse (Wong, Chen, Goggins, Tang, & Leung, 2009), inability to cope with multiple expectations and requirements (Tang, 2006), increased attention to personal and social development (Corbin Dwyer & McNaughton, 2004), and the generation gap between children and their parents (Thomason & Qiong, 2008). Zheng, Zhang, Li, and Zhang (1997) suggested that parents and teachers who did not attend to students’ psychological problems contributed to the high rates of mental health problems among students. Because they have the most direct interaction with students, homeroom teachers and subject teachers in China are well-positioned to help students address their mental health concerns. In fact, Chinese homeroom teachers perform a wide variety of counseling tasks (Shi & Leuwerke, 2010). However, teachers do not receive sufficient training in providing counseling services.
School Counseling in China
School counselors are uniquely positioned to impact the mental health and academic success of students in China. As would be expected with developing professions, there are numerous challenges to school counseling in China: (a) a tremendous shortage of qualified school counselors (Cook et al., 2010; Shi & Leuwerke, 2010; Thomason & Qiong, 2008; Yan, 2003; Zheng et al., 1997), (b) an urgent need for more accredited training programs (Gao et al., 2010; Leuwerke & Shi, 2010; Lim et al., 2010) and (c) a lack of support and respect from teachers and other school staff (Jiang, 2005; Leuwerke & Shi, 2010). Although many schools in China, especially in urban areas, have begun to establish counseling offices and hire school counselors, this profession is still in its primitive developmental stage (Leuwerke & Shi, 2010). Moreover, school counselors themselves have expressed great need for more training and standard education to better serve their students (Leuwerke & Shi, 2010). A standardized training system is imperative to provide training, assessment, issuance of licenses and continued education (Cook et al., 2010; Davey & Zhao, 2012; Yan, 2003; Zheng et al., 1997).
Facing the serious situation of Chinese students’ mental health concerns and school counseling challenges, the Chinese government has turned greater attention to advanced mental health education in K–12 schools. Government policies on education reform have put more emphasis on students’ mental health and the availability of psychological services (Ding et al., 2008). The Ministry of Education in China has published two important government guidelines in the past 2 decades. “Several Suggestions on Improving Mental Health Education in Elementary & Secondary Schools” (Zhong guo jiao yu bu, 1999) identified moral and politics teachers, homeroom teachers, Communist Youth League cadres, and school counselors as the personnel in schools responsible for the mental health needs of students. K–12 schools with available resources and funding were required to establish counseling offices, and school counselors were identified as the leaders of this system (Ministry of Education of the People’s Republic of China, 1999). In 2012, the Ministry of Education released the updated version of “Guideline of Mental Health Education in Elementary & Secondary Schools.” This guideline described the goals, content and methods of mental health education as well as the personnel responsible for delivery. The report specifically called for educating students about basic knowledge and skills regarding interpersonal relationships, career development, and living and socialization (Zhong guo jiao yu bu, 2012).
As required by the Chinese government, schools in large cities have begun to hire school counselors to provide counseling for their students (Jiang, 2005). In K–12 schools in China, school counseling is called school guidance or mental health education, which is actually a part of political and moral education (Jiang, 2005). School guidance in K–12 school settings has been taught as a subject course like math or science (Hou & Zhang, 2007). In addition to school counselors, homeroom teachers also play an important role in mental health services for students by performing a large range of counseling tasks (Shi & Leuwerke, 2010; Wang, 1997). Chinese students access psychological services in schools through a variety of channels: individual counseling, group activities, lectures on common psychological concerns, parent and teacher consultation, and classroom guidance (Leuwerke & Shi, 2010).
The expansion of services in the Chinese school system has made counseling more accessible than ever to students (Thomason & Qiong, 2008). However, empirically based literature examining the role, function and scope of school counseling in China is virtually nonexistent (Jiang, 2005; Leuwerke & Shi, 2010; Shi & Leuwerke, 2010; Thomason & Qiong, 2008). Very little is known about the amount of counseling that students actually receive at school, let alone how students perceive school counselors and the school counseling services they receive (Leuwerke & Shi, 2010). The present study sought to examine some of these questions. Through surveys of students at two high schools in Beijing, the authors explored students’ use of counseling in school as well as their perceptions of the school counselors. The authors also examined possible differences among students who sought services or not, as well as any differences across gender. Correspondingly, the research questions in this study were as follows: (a) How many students seek counseling services and how often do they meet their school counselors in these two high schools in Beijing? (b) Do students’ perceptions of the school counselors differ across gender? (c) Do students’ perceptions of the school counselors differ depending on whether or not they seek counseling services? (d) Do male and female students’ perceptions differ depending on whether or not they seek counseling services?
Methods
Participants
A total of 137 (47 male, 90 female) students from two high schools in Beijing completed questionnaires; 293 surveys were distributed, resulting in a return rate of 46.76%. The sample was recruited through the first author’s contacts in Beijing. Among the students who completed the survey, 126 were from a high school affiliated with Beijing Normal University and 11 were from a high school affiliated with Beijing Renmin University. The sample consisted of 12.4% (n = 17) senior 1 students (equivalent to 10thgraders in the United States), 78.8% (n = 108) senior 2 students (equivalent to 11th graders in the United States) and 8.8% (n = 12) senior 3 students (equivalent to 12th graders in the United States). The two high schools recruited for the study are among the top ranked high schools in Beijing. The school counselors being evaluated in these two high schools had an average of 8 years of experience working as professional school counselors. Students from these schools typically perform very well in academics and gain admission to universities after high school. As for plans after high school, 97.8% (n = 134) of the students surveyed stated that the plan was a 4-year college, with only three students indicating “other plans.” No student indicated planning to attend a 2-year college or vocational training school or get a job right after graduating from high school.
Instrument
Participants completed a brief demographic questionnaire as well as the Chinese High School Students’ Perceptions of School Counselors Survey. All information students provided in the survey was anonymous. The demographic questionnaire included items such as students’ grade level, gender and postsecondary plans. The Chinese High School Students’ Perceptions of School Counselors Survey used in this study was adapted from McCullough’s (1973) survey that was originally designed to determine high school students’ perceptions of school counselors’ services in the United States. Some changes were made to adapt to Chinese students’ cultural background, including adding two questions about the number of times that students had tried to see the school counselor and the actual number of times that they had met with the school counselor. After indicating the number of times they had tried and actually met with a school counselor, participants rated their counselor’s ability and effectiveness on a four-point Likert scale (4 = excellent, 3 = good, 2 = fair, 1 = poor) in the following 11 areas: knowledge of college admission, knowledge of vocational information, knowledge of achievement tests, friendliness and approachability, understanding students’ point of view, advocate for students, promptness in responding to requests, ability to explain things clearly, reliability to keep promises, availability to students, and overall effectiveness.
Translation
The authors created all materials utilized in this study in English, and the first author then translated the documents into Mandarin Chinese. To examine translation quality, a bilingual, native Chinese speaker who was not part of the research team subsequently translated all documents back into English. The authors evaluated and considered these translated documents equivalent. This approach is consistent with common practice in research requiring translation of documents (Larkin, de Casterlé, & Schotsmans, 2007; Liu et al., 2005).
Design
Data analyses were conducted based on the four research questions in this study. First, descriptive statistical analysis was conducted to learn the number of students who had sought counseling services and the frequency of their meetings with a counselor. Second, an independent t test was conducted to determine the differences between male and female students’ perceptions of their school counselors’ services. Third, another independent t test was performed to examine the differences between students’ perceptions of their school counselors’ services depending on whether or not the students had sought prior counseling services. Finally, a 2 × 2 between-subjects ANOVA was done to determine whether there was a statistically significant interaction effect between gender and whether or not students sought prior counseling services.
The data from students who had never had individual meetings with counselors were included in these analyses. These data were included because these students had had contact with school counselors in other circumstances (e.g., lectures, classroom guidance, school-wide gathering), even though they had not met with school counselors individually (Leuwerke & Shi, 2010).
Procedure
Five teachers at the two high schools assisted with data collection. Since research participation and the protocol were new to most of the teachers, explanation of the confidential and voluntary nature of the project was provided through teleconference. Questions from the teachers were answered via e-mail. One of the teachers in Beijing was in charge of the informed consent forms and data storage. Parents of the students in the classrooms of all five teachers received one copy of the informed consent and all granted consent for their child to participate in the research. Students then received e-mails. An online survey tool (http://www.surveymonkey.com) was used to administer the questionnaire.
Results
The first goal of this study was to examine how many students had sought services from school counselors and the number of meetings they had had with their school counselors since they entered high school. Descriptive statistics were obtained in order to achieve this goal. Nearly half of the participants (48.9%, n = 67) reported having seen counselors at least once. Among these 67 students, the majority (n = 41) had met once individually with a school counselor, 22 had seen a school counselor individually two to three times, and four students had talked with school counselors four to five times. No student reported having met with a school counselor more than five times. Information on the length of these individual counseling sessions was not obtained in the survey.
The second goal of this study was to examine the students’ perceptions of their school counselors. Fifty-three students provided a complete evaluation of their school counselors in the survey. Among these 53 students, 36 had used counseling services before, whereas 17 reported no individual meetings with a counselor. As shown in Table 1, students’ most positive ratings of their school counselors were for friendliness and approachability (M = 3.20, SD = 1.25) and ability to explain things clearly (M = 2.99, SD = 1.33). The lowest rated attributes were knowledge of college admission (M = 1.30, SD = 1.42) and knowledge of vocational information (M = 1.10, SD = 1.30).
Table 1
Descriptive Statistics on Students’ Evaluations of School Counseling Services
School counseling services evaluated
|
N
|
Min
|
Max
|
M
|
SD
|
Friendliness and approachability |
137
|
0
|
4
|
3.20
|
1.25
|
Ability to explain things clearly |
137
|
0
|
4
|
2.99
|
1.33
|
Availability to students |
137
|
0
|
4
|
2.77
|
1.38
|
Understanding students’ points of view |
138
|
0
|
4
|
2.73
|
1.32
|
Promptness in responding to requests |
137
|
0
|
4
|
2.68
|
1.47
|
Reliability to keep promises |
137
|
0
|
4
|
2.37
|
1.62
|
Advocate for students |
137
|
0
|
4
|
2.31
|
1.51
|
Knowledge of achievement tests |
137
|
0
|
4
|
1.82
|
1.44
|
Knowledge of college admission |
141
|
0
|
4
|
1.30
|
1.42
|
Knowledge of vocational information |
138
|
0
|
4
|
1.10
|
1.30
|
Overall effectiveness |
137
|
0
|
4
|
2.51
|
1.40
|
Valid N (listwise) |
137
|
|
|
|
|
Furthermore, independent t tests were conducted to determine whether students’ ratings of counseling services differed significantly between genders and between students who had or had not sought counseling services. A statistically significant result was found in students’ ratings of school counselors’ availability in the independent t test based on gender. Female students rated school counselors’ availability significantly higher than male students did (F = 4.196, p < .05). Statistically significant results also were found based on whether or not the students had sought counseling services. As shown in Table 2, students who had received prior counseling services rated counselors significantly higher in the following areas than did students who had never received counseling services: knowledge of achievement tests, friendliness and approachability, understanding students’ point of view, advocate for students, promptness in responding to requests, ability to explain things clearly, reliability to keep promises, availability, and overall effectiveness.
Table 2
Students’ Evaluations of School Counselors Depending on Whether or Not They Seek Services
School counseling services evaluated
|
Levene’s testa
|
|
t testb
|
F
|
p
|
|
t
|
df
|
p
|
M
difference
|
SE
difference
|
|
|
|
|
|
|
|
|
|
Knowledge of college admission |
.59
|
.443
|
|
1.84
|
139
|
.068
|
.46
|
.25
|
Knowledge of vocational information |
.55
|
.460
|
|
2.22
|
135
|
.028
|
.51
|
.23
|
Knowledge of achievement tests |
7.61
|
.007
|
|
1.53
|
134
|
.128
|
.40
|
.26
|
Friendliness and approachability |
7.34
|
.008
|
|
2.10
|
135
|
.038
|
.47
|
.22
|
Understanding students’ points of view |
8.26
|
.005
|
|
2.46
|
136
|
.015
|
.57
|
.23
|
Advocate for students’ |
2.89
|
.092
|
|
2.50
|
135
|
.014
|
.67
|
.27
|
Promptness in responding to requests |
18.23
|
.000
|
|
2.12
|
135
|
.036
|
.55
|
.26
|
Ability to explain things clearly |
17.92
|
.000
|
|
2.24
|
135
|
.027
|
.53
|
.24
|
Reliability to keep promises |
9.28
|
.003
|
|
2.44
|
135
|
.016
|
.70
|
.29
|
Availability to students |
9.59
|
.002
|
|
2.24
|
135
|
.027
|
.55
|
.25
|
Overall effectiveness |
39.95
|
.000
|
|
3.03
|
135
|
.003
|
.74
|
.25
|
aLevene’s test for equality of variances. bt test for equality of means.
A 2 × 2 between-subjects ANOVA was conducted to evaluate the effects that gender and students’ experiences with counseling services had on students’ perceptions of counseling services. Levene’s test and Fmax indicated that the homogeneity of variances assumption was met. A statistically significant interaction effect was found between gender and whether or not the students had received counseling services, F(1, 133) = 5.923, p = .016. As shown in Figure 1, the relationship between whether or not students had received counseling services and their perceptions of school counselors differed depending on gender. Among students who had had individual meetings with their counselors, males rated the counselors higher than females did, while females rated the counselors higher than males did if they had never received counseling services.

Figure 1. Mean differences on gender and whether or not students received counseling services.
Discussion
In this study, almost half of the participants reported seeking help from a school counselor at least once. Interestingly, over 60% of the students who had met with a counselor had not returned for a subsequent meeting. Although China has seen the presence of school counselors increase in urban schools, it is still not common for students to seek counseling services (Thomason & Qiong, 2008). While the specific reasons why the students discontinued meeting with school counselors in this study are not clear, the following factors might help explain this phenomenon: (a) students have been found to be most concerned with physical health and to have failed to consider other aspects of health such as mental/psychological, behavioral and social (Wang, Zou, Gifford, & Dalal, 2014); (b) stigma toward mental illness exists among Chinese students (Thomason & Qiong, 2008; Wang, Huang, Jackson, Chen, & Laks, 2012); (3) Chinese cultural beliefs promote solving family-related issues inside one’s own family (Cook et al., 2010); and (4) students spend the majority of their time preparing for the National College Entrance Exam (NCEE), which Chinese school counselors perceived as an impediment to students’ utilization of school counseling services and future school counseling development in China (Leuwerke & Shi, 2010).
As for the modal number of counseling sessions that school counselors hold in secondary schools in China and the United States, little is presented in the current literature. More research has been conducted on college students’ attendance of counseling sessions offered by university counseling centers. For example, Draper, Jennings, Baron, Erdur, and Shankar (2002) found that, on average, college students met with counselors only three times. A number of studies have confirmed that most college students attend only a few sessions and that 50% terminate counseling prematurely (Ledsky et al., 2000; Renk, Dinger, & Bjugstad, 2000; Whipple et al., 2003). The number of counseling sessions that school counselors have with high school students could be likewise related. Students who visit school counselors by referral normally do not return for a second session, even though more sessions are indicated (E. Zhang, personal communication, June 5, 2007).
In China’s current school system, homeroom teachers have close, day-to-day interaction with students in their own homerooms; these teachers are responsible for students’ behavior, academic performance, mental health and all-around development (Lim et al., 2010; Shi & Leuwerke, 2010). Homeroom teachers may refer students to school counselors if they feel that students’ problems are beyond the teachers’ ability to solve (E. Zhang, personal communication, June 5, 2007). Future research could help explain why students tend to meet with their counselor only one time, and could explore the factors associated with students’ premature termination. It might be that Chinese counselors are giving an intentional or unintentional message that only one session is appropriate. Additional research is necessary to explore how school counselors could reach out to more students and reduce the stigma attached to mental problems, which might encourage more students to utilize individual counseling in school settings.
The descriptive results of this study provide some preliminary information about the level of students’ satisfaction with particular areas. Based on the students’ perceptions in two high schools in Beijing, it appears that school counselors are doing quite well in many different areas, such as friendliness and approachability to students, ability to explain things clearly, and availability. However, there are some areas in which school counselors must improve their knowledge and skills (e.g., college admission, vocational information and opportunities, achievement tests). When interpreting the results of this study, it is important to keep in mind that participants in this study are all from top-ranking high schools in Beijing, where students have a general college-going mindset and therefore place significant emphasis on academic achievement; in addition, these students have a higher expectation and interest in seeking counseling services related to applying for college. Also, in the current school systems in China, homeroom teachers are normally in charge of handling students’ academic testing, disseminating college-related information and helping students prepare for college (Shi & Leuwerke, 2010). Therefore, school counselors might not be as prepared as homeroom teachers to provide information regarding college admission and achievement tests.
As for the low ratings in the area of vocational information and opportunities, it is critical to consider the fact that the practice and profession of career counseling is still in the developmental stage in China (Leuwerke & Shi, 2010; Zhang, Hu, & Pope, 2002). Unfortunately, a thorough literature search revealed no information on the current conditions of school counselors’ training in China. However, a few studies have briefly mentioned the training or education that school counselors receive. For example, Gao et al. (2010) conducted a national survey on professional training experience among mental health practitioners in China, with only half of their sample working in educational settings such as high schools and universities. The researchers found that mental health practitioners reported receiving only short-term training and continuing education that focused on theories; a majority reported receiving no supervision or case consultation (Gao et al., 2010). Although there is a lack of literature on school counselors’ training in particular, several authors have indicated an urgent need for a more regulated, comprehensive and standardized training and qualification system for school counselors in China (Cook et al., 2010; Leuwerke & Shi, 2010; Lim et al., 2010; Thomason & Qiong, 2008).
It was expected that students who had had individual meetings with school counselors would rate counseling services differently than the students who had never seen school counselors individually. Students who had received counseling services before rated school counselors at a significantly higher level than students who had never had counseling services in many different areas, including the school counselors’ test skills, approachability, understanding, advocacy, promptness, ability, reliability, availability and overall effectiveness in providing counseling services. This finding is not surprising, considering that students who have had personal contact with the school counselors might have a better understanding of the role of school counselors and the services they provide, and therefore are more likely to give a higher rating of school counseling services. In a study conducted in Turkey, Yüksel-Şahin (2008) also found that the factor of whether students had met with school counselors was a significant predictor of students’ evaluations of counseling guidance service.
Similarly, gender differences were expected in students’ rating of school counselors. The results show significantly higher ratings from female students than male students of school counselors’ availability. From the descriptive results of this study, one can see that female students reported more contact with school counselors than male students did; this finding might help explain female students’ higher rating of school counselors’ availability.
Finally, an interaction effect was found in students’ ratings of the effectiveness of their counselors in the 2 × 2 between-subjects ANOVA based on gender and whether or not students seek counseling services. In a 2009 study, Hou, Zhou, and Ma examined high school and university students’ expectations of counseling in China. Results of their study showed that female students had significantly higher scores than males in terms of their own openness and counselors’ acceptance. Meanwhile, the researchers also found that students who did not have counseling experience had significantly lower scores on their motivation compared to their counterparts. These trends continued in the current study, which further supports the idea that students’ previous counseling experiences and gender relate closely to their expectations and perceptions of counselors and counseling services in general.
As a developing profession facing a huge student population, school counselors in China are doing a more than adequate job with limited resources. In the current study, most high school students reported seeking counseling services from their school counselors more than once, and they reported having generally positive experiences in counseling. Meanwhile, these students also had positive perceptions of their school counselors’ services; however, they reported the need for more vocational guidance or more knowledge of achievement tests from their counselors. An interaction effect was found in students’ perceptions of school counseling services based on students’ gender and whether they had met with school counselors before.
Implications
This study contributes to the literature by filling a research gap in Chinese students’ utilization and perceptions of school counseling. This line of inquiry is very important for the future development of the school counseling profession in China in that it provides implications for researchers and school counseling practitioners, as well as counselor educators. Future researchers could further investigate factors that might predict students’ utilization of school counseling services and what students need the most from counseling. More efforts need to be made in both conducting empirical research in the school counseling field and in exploring ways to improve the profession that will suit China’s cultural and social situations (Jiang, 2005; Thomason & Qiong, 2008). Moreover, the findings from this research are informative for school counseling practitioners in China. Chinese school counselors may want to self-evaluate their services and seek further training and education to improve their services in the areas that students rated lower. School counselors also could explore ways to make their services more accessible for students. Finally, the results of this research can be beneficial for counselor educators, who could contribute to improving the quality of school counselors’ training and education by providing opportunities for supervision, practice and professional development courses targeting the knowledge and skills that school counselors need most.
Limitations
There were a number of limitations in this study that limit generalization and call for additional research. First, the sample in this study was a convenience sample; the majority of the participants were from one high school, also limiting the generalizability of the results. Second, the two high schools are similar to each other in that they are top-ranking high schools in Beijing, and their students have similar future plans. Therefore, the results of this study may not apply to other geographic areas in China, especially rural areas, because a difference exists in educational conditions between economically developed areas (e.g., Beijing, Shanghai, Guangzhou) and underdeveloped areas (e.g., rural areas in West China). Students from different geographical areas in China may encounter different mental health problems, and the development of school counseling in urban and rural China may be different (Yan, 2003). The position of school counselor may not even exist in some areas in China. Third, the sample lacks diversity in terms of gender and grade level. Most of the participants in this study were female students and senior 2 students. Gender may be a variable that influences how students perceive counseling and school counselors. Future research utilizing more diverse and larger samples from across the country will be able to provide a more detailed and general picture of school counseling in high schools across China. Lastly, the instrument used in this study was adapted from an instrument that was developed several decades ago. Although some modifications were made, the validity and reliability of the scale used for Chinese students are not clear at this time. Future studies may investigate the validity and reliability of this instrument and also develop new instruments that are specially designed to measure students’ perceptions of Chinese school counselors’ effectiveness, competence, expertise and contributions.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of
interest or funding contributions for
the development of this manuscript.
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Qi Shi is an assistant professor at Loyola University Maryland. Xi Liu is a doctoral student at George Washington University. Wade Leuwerke is an associate professor at Drake University. Correspondence can be addressed to Qi Shi, 2034 Greenspring Drive, Timonium, Maryland 21093, qshi@loyola.edu.
Dec 2, 2014 | Article, Volume 4 - Issue 5
Isaac Burt
This pilot study explored differences between the levels of anger expression and anger control by adolescent males and females. Eighteen participants (9 males and 9 females) completed a strength-based anger management group promoting wellness. Anger management group counseling consisted of a 10-week continuous intervention emphasizing anger reduction, anger control and appropriate anger expression. Results indicated gender differences in that females exhibited more anger expression, as well as less anger control. However, females had higher levels of overall improvement. The article concludes with limitations and implications for mental health counseling with adolescent populations.
Keywords: mental health counseling, group counseling, anger management, adolescent, gender differences
The profession of mental health counseling serves a diverse population with a variety of needs, including substance abuse and anger management issues (Gutierrez & Hagedorn, 2013). In order to provide services to clients, mental health counselors use a number of modalities, such as individual and group counseling. Research indicates that group counseling in particular can be useful with certain populations, such as excessively angry clients (Burt, Patel, Butler, & Gonzalez, 2013; Fleckenstein & Horne, 2004). Traditionally, anger management groups have focused on dealing with anger after it occurs. Recent developments in the field of counseling, however, suggest that a number of new trends are developing with mental health and anger management groups (Burt & Butler, 2011).
One of these trends focuses on early prevention with mental health counselors either providing facilitation or training others to facilitate anger management groups in schools (Curtis, Van Horne, Robertson, & Karvonen, 2010). The targeted clients of most of the early prevention interventions are middle and high school populations (Parker & Bickmore, 2012). Burt and Butler (2011) contended, however, that many early prevention and anger management groups are gender biased and focus excessively on adolescent males. The researchers suggested that while adolescent females experience anger as well, they often do not receive counseling services (Burt & Butler, 2011). As a result, a growing population with similar needs is potentially neglected. While numerous differences do exist between genders, anger is a common emotion experienced by both (Karreman & Bekker, 2012).
Research indicates that differences exist between adolescent males and females with regard to behavioral decision-making processes and expression of emotions (Brandts & Garofalo, 2012). Although research depicts females as more emotionally expressive, males have a reputation of being more predisposed to anger. According to Sadeh, Javdani, Finy, and Verona (2011), females experience anger, but may express it differently than males. For example, instead of expressing anger by striking objects, adolescent females may talk to friends or peers (Fischer & Evers, 2011). Conversely, other studies purport that females express anger similarly to males, but experience difficulty recognizing and admitting the emotion due to social expectations and constraints (Karreman & Bekker, 2012). Males, on the other hand, tend to display anger more commonly and comfortably (Fischer & Evers, 2011). One of the many reasons that adolescent males may feel comfortable expressing anger is because it is socially acceptable (Burt et al., 2013).
An extensive number of studies have investigated anger; however, there appears to be a lack of studies exploring anger differences between genders. Karreman and Bekker (2012) conducted a study on gender differences, investigating autonomy-connectedness between genders. Their study indicated differences related to anger and sensitivity between genders. However, the study did not attempt to determine whether males and females were equal in anger at the beginning or end of the study. Similarly, Burt, Patel, and Lewis (2012) reported that incorporating social and relational competencies into anger management groups reduced anger, but there was no discussion of anger differences between genders. Sadeh et al. (2011) indicated that women expressed more self-anger (i.e., anger directed internally toward themselves) than males, but did not investigate whether differences existed between genders before the study.
Although limited, a small number of studies have attempted to examine anger differences between genders. Similar to Sadeh et al. (2011), Fischer & Evers (2011) found that females expressed subjective anger, or self-anger, more often than males. Buntaine and Costenbader (1997) found that both genders’ self-reports (assessments) indicated no significant differences. Upon further examination of their data, however, they concluded that although self-reports specified no differences, males verbally reported higher responses of anger. In contrast, Zimprich and Mascherek (2012) determined that no anger differences existed between males and females. They declared that although genders may express anger and respond to situations differently, they generally experience similar levels of anger. As can be seen from the preceding studies, inconsistences exist in the literature. Contradicting studies indicate that researchers are unclear as to whether differences in anger exist between genders. As such, a research gap has emerged that needs to be filled (Zimprich & Mascherek, 2012). In order to understand how this research gap developed, it is necessary to examine cultural influences.
Cultural Influences and Misconceptions in Society
According to Carney, Buttell, and Dutton (2007), a misconception exists in Western society that women are less aggressive than men and do not express excessive anger. This fallacy persisted in Western culture until a report from the U.S. National Family Violence Survey of 1975 (as cited in Carney et al., 2007) found a disturbing trend: Females were just as angry as males and expressed excessive anger the same amount that men did. At the time, feminist theory and the feminist movement were developing and stood in stark contrast to these findings. Carney et al. (2007) stated that as such, the National Family Violence Survey findings were largely unreported, and in extreme situations, people reinterpreted or repudiated the survey’s findings. In either case, more misconceptions began to develop in Western culture (Carney et al., 2007), such as the idea that when females experience anger, it is always appropriate to the situation (i.e., anger is permissible). A second mistaken belief is that anger from females is less serious and not as negative. For example, the expression “you look so cute when you’re angry” portrays this biased and potentially chauvinistic thought. A third misconception is that females are more credible in reporting their emotions and, as such, females are more reliable when they state that they are not angry.
Western society has acted upon these cultural misconceptions. For example, certain myths in society (and mental health counseling) persist, declaring the following: (a) only males have angry feelings, (b) all male-comprised counseling groups are anger management groups, (c) males have a limited repertoire of emotions to express, (d) males are too angry and competitive to support one another in groups, and (e) males are not interested in meeting with other males (Andronico & Horne, 2004). Myths about female groups are that they are high functioning, conflicts are resolved faster, and a fair amount of reflection and processing exists (Gladding, 2012). According to researchers, these misconceptions can bias the truth regarding people’s beliefs. For example, Winstok (2011) stated that rates of excessive anger and intimate partner physical abuse among females equal or surpass those of males.
Clearly, cultural misconceptions of gender differences in excessive anger can lead mental health counselors to do a disservice to males and females alike. For example, culture can influence mental health and group counseling by causing a type to develop. This type is defined as best suited to be in anger management groups. As a result, mental health counselors may unconsciously choose more males than females to be members of anger management groups. Thus, a population that desperately needs services can go without an intervention (Carney et al., 2007). Mental health counselors need to reevaluate their thinking in order to avoid overlooking a population needing services due to implicit social misconceptions.
Bandura (2008a) believed that excessive anger was not sudden, but gradually manifested over time. His studies with youth corroborated this idea, as he observed modeling and negative behavioral patterns leads to excessive anger (Bandura, Ross, & Ross, 1963). Supporting Bandura’s work, Burt and Butler (2011) asserted that excessive anger begins in childhood and adolescence. They reinforced the notion that mental health counselors must be aware that both genders have common needs and issues. For females, not receiving services or having services denied, and being told that the emotion they feel is inappropriate, could cause personal damage (Gottfredson, 2002). For instance, society and mental health counselors often depict males as more in need of anger management (Burt & Butler, 2011). Conversely, mental health counselors sometimes neglect and ignore what females need (West-Olatunji et al., 2010). Stated succinctly, a gap exists between what clients need and the options mental health counseling interventions offer to both genders. It is the author’s contention that this gap is an unfair practice, as both genders have similar needs. Research has shown that males and females experience anger equally; as a result, both need anger management groups.
To determine whether both genders expressed anger similarly, the author implemented a pilot study with adolescents to explore the topic before proceeding with a full investigation. As Bandura (2008b) pointed out, anger begins early in life and timely prevention is critical. Provision of early services for children and adolescents can help to prevent issues later in life.
Method
Participants
Participants in this study were male and female middle school students in the sixth, seventh and eighth grades. Thirty potential participants (15 males and 15 females) received invitations for participation, and 20 returned signed parental informed consent forms (10 males and 10 females). Ages of participants ranged from 11–14 years and consisted of 75% Latino/Hispanic (15), 15% Black (3), and 10% White (2). Two participants did not complete the study.
Instrumentation
This pilot study used the State-Trait Anger Expression Inventory-2 Child and Adolescent (STAXI-2 C/A). A well-known and highly used instrument, the STAXI-2 C/A is a self-report assessment that indicates youths’ (ages 9–18) control and expression of their anger (Spielberger, 1999). The STAXI-2 C/A has provided reliable and consistent results across diverse cultures and settings (Chirichella-Besemer & Motta, 2008). The STAXI-2 C/A contains four scales assessing excessive anger in youths. The four scales are as follows: Anger State (S-Ang), Anger Trait (T-Ang), Anger Control (AC) and Anger Expression (AX). Each of the four scales measures a different indicator of anger, in order to provide counselors with a multifaceted perspective of the client’s anger behavior.
Past studies that utilized the STAXI-2 C/A focused on AC and AX because of the strong validity these scales have with other anger assessments (Freeman, 2004); thus, the AC and AX scales were used in this pilot study. Cronbach’s alphas were .92 and .67 for AC and AX respectively (Freeman, 2004). Barrio, Aluja, and Spielberger (2004) stated that Cronbach’s alphas demonstrated by the STAXI-2 C/A indicated a high degree of reliability. Additionally, Barrio et al. (2004) also exhibited high construct validity by correlating the STAXI-2 C/A with the Verbal and Physical Aggressiveness Scale (AFV; Caprara & Pastorelli, 1993). A significant correlation of .43 existed between the two assessments. According to Gladding (2012), numerous counselors fail to measure the successfulness of their groups accurately because of errors in measurement and evaluation. In groups, a large number of therapeutic factors are occurring, which affect members in varying ways (Corey, 2011). Focusing on too many factors can overwhelm counselors and undermine evaluation, which is critically important (Gladding, 2012). In order to avoid this potential problem, this pilot study focused on a limited number of factors.
Procedures
A large, urban public middle school in a metropolitan area provided the setting and participants for this pilot study. Serving 2,000 students in grades 6–8, the school has a standardized documentation system that keeps track of behavioral disruptions. The documentation system records in-school suspensions (ISS), out-of-school suspensions (OSS) and behavioral infractions for students (Burt, 2010). Each student has a personal identification number; the administration connects student infractions to these numbers in order to identify any student. The documentation system also contains a small description of what caused the issue. For instance, some students have behavioral outbursts of anger, while others have infractions for tardiness. Since the focus of this pilot was to determine anger differences between genders, it was imperative for the study to have participants who displayed excessive anger. To increase validity and correctly identify participants, the author used school administration recommendations.
The author conducted interviews with school staff to gather information as suggested by Bryan, Day-Vines, Griffin, and Moore-Thomas (2012). For example, the author asked school deans, teachers and professional school counselors (PSC) for recommendations about students. Many students had a high overall number of OSS and ISS, including a large number of behavioral infractions. However, some infractions were due to nonexcessive anger problems (e.g., tardiness). School staff could provide a safeguard against the author inappropriately recruiting a student who did not truly require services. The author asked school staff if a student’s number of OSS, ISS and infractions corresponded with actual behavior (i.e., excessive anger). Thus, the goal was to eliminate as much bias as possible to ensure the most appropriate candidates.
After interviewing school staff, a pool of candidates emerged, consisting of individuals with documentation of excessive anger, fights and legal procedures in the court system (Burt, 2010). School staff considered these candidates to be at high risk for excessive anger, and candidates’ records of OSS, ISS and behavioral infractions corroborated this belief. According to Burt et al. (2013), more than eight occurrences in a 12-week period constitute a high number of anger issues; thus, this study held the same parameters advocated by Burt et al. (2013). Once a list of eligible candidates emerged, the author interviewed school staff a second time. This second short interview was a safeguard measure before actually contacting candidates. The author wanted to meet with school staff again to reduce potential staff bias and ensure that candidates were still having anger issues. After the last interview, school staff explained the study to candidates in detail.
In order to increase client buy-in, school staff introduced the author of this article (who was also the group facilitator) to candidates. The author met with candidates and explained the study in more detail, in addition to answering any questions. If the candidates were interested in participating, the author gave them informed consent forms to have their parents sign. To increase the likelihood of the candidates returning the informed consent forms, candidates received tokens from the school, which allowed them to buy goods in the school store. If candidates returned signed informed consent forms, they received five tokens, comparable to five U.S. dollars. Out of 30 candidates, 20 returned signed informed consent forms. Although this is a small number, this quantity is permissible for pilot studies (Heppner, Wampold, & Kivlighan, 2008). The author split the participants in half based on gender (10 males and 10 females). One participant dropped out of each group, leaving 18 who completed the study. Each group met at a different time and was not aware of the existence of the other group (Burt, 2010). This pilot study assessed participants’ behavior via the STAXI-2 C/A, given pre- and post-intervention.
Structure of the intervention/anger management group used in the pilot study. The anger management group consisted of eight counseling sessions and two assessment sessions (pretest and posttest assessment; Burt, 2010). Program duration was 10 weeks, and the author of this article conducted each session weekly. Corresponding with Blanton, Christensen, and Shakir (2006), each counseling session contained the following four essential components: an opening question (such as an icebreaker or introductory segment), a behavioral lesson (information gathering and learning), a behavioral activity (an experiential segment in which learned information is applied), and an appreciations and closings segment ending the group (a bonding piece for group members). Counseling sessions concluded after 60 minutes, with opening questions lasting approximately 5–10 minutes. Behavioral lessons took between 10 and 25 minutes and behavioral activities lasted 15–30 minutes. Appreciations and closing concluded after 5–10 minutes. Pre- and post-group paperwork sessions took approximately 15–30 minutes (Burt, 2010). As Burt et al. (2012) suggested, groups must be strength-based (i.e., accentuating members’ strong points), and incorporate collaboration and teamwork. The group was prosocial in nature, emphasized clients’ strengths and developed social bonding. Topics for the eight sessions included the following: improving communication skills, recognizing personal emotions, identifying emotions within others, improving observational skills, advanced detection of emotions in others, noticing anger cues in others, understanding personal anger cues, strategies for calming down, and problem-solving.
Mental health counselor for the intervention. The mental health counselor for both groups was this author, who has experience as a group facilitator and counselor educator. Additionally, the author worked as a training liaison for anger management groups in the school system, teaching conflict resolution and peer mediation. He also has experience working with groups for adults and children with oppositional defiance disorder and anger management issues. The group facilitator used an integrative orientation, utilizing social cognitive theory (SCT) and cognitive-behavioral therapy (CBT; Burt, 2010).
Results
The focus of the study was to determine whether differences existed between male and female levels of excessive aggression. Table 1 displays descriptive statistics and indicates results from the one-way repeated measures ANOVA for AC and AX. Results for youths’ overall AC levels pre- and post-intervention indicated the following, F1, 8 = 6.36, p = .003, ES = .44. Thus, the pilot study showed preliminary findings that a significant difference existed between genders on AC. For the scale of AX, results indicated a statistically significant difference between genders pre- and post-intervention (F1, 8 = 4.06, p = .018, ES = .34). Although repeated measures indicated a statistically significant difference between genders, pair-wise comparisons allowed examination of exactly where differences lay between genders on AC and AX. Thus, a significant difference existed between gender on AC (p = .04), and on AX (.03; Table 1). At the beginning of the pilot study, males had less AC, but females had more AX. However, females had the larger increase in AC post-intervention, as well as the greatest reduction in AX between genders. Hence, females had the greater overall gains and improvement pre- and post-intervention as opposed to males.
Table 1
Outcome results for Anger Control and Anger Expression
|
Pretest
|
|
Posttest
|
|
Males
|
|
Females
|
|
|
|
|
|
Males
|
|
Females
|
|
|
M (SD)
|
|
M (SD)
|
df
|
P
|
F
|
ES
|
|
M (SD)
|
|
M (SD)
|
df
|
P
|
Repeated Measures ANOVA a |
|
|
|
|
|
|
|
|
|
|
|
|
|
Anger Control |
44.22
(12.76)
|
|
51.56
(4.33)
|
8
|
.003
|
6.36
|
.44
|
|
50.00
(14.00)
|
|
63.33 (7.85)
|
8
|
|
Anger Expression |
18.78
(5.58)
|
|
24.67
(3.87)
|
8
|
.018
|
4.06
|
.34
|
|
17.44
(5.50)
|
|
20.67
(2.74)
|
8
|
|
Pair-Wise Comparisons b |
|
|
|
|
.04
|
|
|
|
|
|
|
|
.03
|
Note. a N = 9 b N = 18
Discussion
Females had more AX than males, a finding which corresponds with Cross and Campbell (2011). Males appeared to have less AC and were somewhat less angry than females. A number of studies support the preceding findings, most notably Winstok (2011) and Carney et al. (2007). Further, this pilot’s findings corroborate the idea that both genders have equal problems with excessive anger (Carney et al., 2007). The results from this study also suggest that both genders can improve with interventions designed to address anger. According to Winstok (2011), a common misconception is that males have greater need for excessive anger interventions than females. However, in this pilot study, females responded better to the treatment than males did. This responsiveness to treatment is interesting in that few studies have directly compared sensitivity to interventions by gender. While sensitivity to treatment was not a focal point of this pilot, it is interesting to note and direct attention to this unexpected outcome.
The author believes that the primary underlying reason females responded better to the treatment is that they are an underserved population (West-Olatunji et al., 2010). This is not to say that other explanations are not contributing factors, but because the females in this study possibly represent an underserved population, the aforementioned factor likely has more influence. According to West-Olatunji (2010), an underserved population is one that needs services, but does not have access to help. In addition, a number of the females in this pilot qualify as an underserved population as defined by Burt and Butler (2011). For instance, background information provided by the school indicated that approximately 85% of males in this pilot study received prior services (e.g., counseling) before participating. Conversely, 40% of females in this pilot study received prior services. Although the purpose of this study was not to detail what causes an underserved population to develop, research indicates that it can be due to institutional, social or cultural constraints (West-Olatunji et al., 2010).
While this study did not use qualitative measures as advocated by McCarthy (2012), females verbally disclosed that the school rarely offers them anger management services. Female participants further stated that if those services were more readily available, they would use them. Conversely, males indicated being overwhelmed with staff attempting to persuade them to participate in anger management services. This dichotomy in access to treatment clearly marks the identification of an underserved population. Thus, the females’ higher responsiveness to the intervention is potentially due to the following: Perhaps this study was a first intervention for many of the female participants. For females who did receive prior services, it may have been the first intervention directly dealing with anger.
Day (2008) indicated three characteristics that clients need to increase the likelihood of a successful outcome: the client must be in distress, must actively seek help and must have high expectations for counseling. The female participants (as opposed to the majority of the males) in this study met the preceding three criteria. Members of both genders were in a state of distress (as evidenced by the school’s documentation system). However, females verbally admitted to wanting help and had higher expectations. Consequently, females in the pilot had larger, more consistent gains. As evidenced by West-Olatunji et al. (2010), when underserved populations receive desired treatments, the change is normally larger than average. Thus, the findings in this pilot study connect to previous research and provide a plausible reason for the differences between genders.
Limitations
This pilot study had limitations stemming from research methods. First, the groups were limited to one school, as well as to selection from a standardized school documentation system (Burt, 2010). The documentation system compiled an objective list of behavior issues in school, but did not differentiate between excessively angry and nonexcessively angry behaviors. For example, documented behaviors could range from threatening school staff to not returning school forms promptly. To account for this issue, this study included school staff and administration’s professional suggestions for possible candidates. However, school staff may have had subtle biases for or against certain students. There are limitations to each method of selection, including both the standardized documentation system and the school staff. An additional limitation is that the same mental health counselor (the author of this article) conducted the groups. Due to this limitation, some participants’ changes may be due to the facilitator’s style or personality. More importantly, this study lacked a control group and had a small number of participants. The lack of a control group makes generalizations difficult in that it is uncertain whether other extraneous variables influenced the results. Having a small number of participants decreases the power of the pilot study and makes it difficult to generalize results. However, the fact that a significant finding occurred with a small sample size indicates the strong influence of the intervention (Gay & Airasian, 2003). In schools, it is difficult to conduct full-scale studies due to a number of preexisting conditions, such as high-stakes testing (Burt et al., 2013). Therefore, having a study without a control group and with a small number of participants may be the most appropriate method if investigators are to conduct research in schools (Heppner et al., 2008).
Implications and Future Directions for Research
Implications for mental health counselors stemming from this pilot study are numerous. First, mental health counselors must be aware that both genders need services for excessive anger. Mental health counselors should not allow personal biases and media influences to sway professional opinion (Gladding, 2012). In addition, mental health counselors must advocate for fairness and oppose stereotyped biases and ideologies pushed by society (Burt et al., 2012). According to Gray and Rose (2012), discrimination and internalized oppression begin by ignoring discriminatory societal practices. Only by remaining reflective and cognizant of personal biases can mental health counselors reduce problematic issues and model appropriate behaviors (Young, 2012).
A second implication for mental health counselors is to understand that a strength-based model promoting wellness is critically important for clients (Hagedorn & Hirshhorn, 2009). Specific populations, such as youth, respond better to models incorporating empowerment, which can lead to increased behavioral self-efficacy (Bandura, 2008a). Furthermore, positive modeling by mental health counselors also increases growth and behavioral self-efficacy (Bandura, 2008a). A combination of strength-based approaches, empowerment and modeling improve groups’ interpersonal, intrapersonal and extrapersonal functioning (Gladding, 2012). Third, mental health counselors should seek to improve delivery of services and outcomes by evaluating the group process (Steen, 2011). For instance, Gladding (2012) and McCarthy (2012) reinforced the notion of improving counseling services through research and evaluation. This study provided a formal assessment of a group that could have otherwise gone unreported.
Future researchers may want to improve the overall research design. For example, researchers could include a larger number of participants, groups and multiple facilitators. Moreover, future studies must have a true experimental design, such as a control group with random assignment. Including participants’ personal perspectives and phenomenological views not only increases the validity of research, it improves mental health counselors’ skill levels as well (Gladding, 2012). Qualitative measures improve skill level by giving mental health counselors a clear idea of what actually worked and what did not (Burt & Butler, 2011). Lastly, future researchers may want to pay more attention to gender responsiveness (sensitivity) to treatments, to determine if males or females respond better to specific treatments.
Conclusion
The purpose of this pilot study was to determine whether gender differences existed among adolescents for excessive anger. Preliminary results indicate that differences existed, but that there also were distinctions between genders regarding the intervention itself. Females had better AC, but also had more AX compared to their male counterparts. However, females seemed to respond better to the intervention, as shown by their larger gains and improvement. Males improved as well, but did not have the substantial progress observed in females. While past research may not have lent strong support for gender differences, this author hoped to reinvigorate interest in gender discrepancies. Females are an underserved population with regard to anger management; research has indicated that they experience anger sometimes at a rate paralleling or surpassing males (Cross & Campbell, 2011). However, due to societal stigma and cultural biases, many females do not receive anger management services. Therefore, only rigorous research can determine whether these problems truly exist by improving group research and outcomes (McCarthy, 2012).
Conflict of Interest and Funding Disclosure
The author reported no conflict of
interest or funding contributions for
the development of this manuscript.
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Dec 2, 2014 | Article, Volume 4 - Issue 5
Elizabeth Villares, Kimberly Colvin, John Carey, Linda Webb, Greg Brigman, Karen Harrington
This study examines the convergent validity and divergent validity of the Student Engagement in School Success Skills (SESSS) survey. The SESSS is easy to administer (it takes fewer than 15 minutes to complete) and is used in schools to provide educators with useful information about students’ use of skills and strategies related to school success. A total of 4,342 fifth graders completed the SESSS; the Motivated Strategies for Learning Questionnaire (MSLQ) Cognitive Strategy Use, Self-Regulation, Self-Efficacy and Test Anxiety subscales; and the Self-Efficacy for Self-Regulated Learning (SESRL). The three subscales of the SESSS (Self-Direction of Learning, Support of Classmates’ Learning and Self-Regulation of Arousal) correlated highly with the MSLQ Cognitive Strategy Use and Self-Regulation subscales, moderately correlated with the Self-Efficacy subscale and the SESRL, and did not correlate with the MSLQ Test Anxiety subscale. Future research is needed to use the SESSS subscales as discriminable dimensions.
Keywords: school success, convergent validity, divergent validity, Student Engagement in School Success Skills survey, educators
For more than a decade, researchers have placed increased emphasis on evidence-based practice and a programmatic approach to school counseling (Carey, 2004; Green & Keys, 2001; Gysbers, 2004; Lapan, 2005; Myrick, 2003; Paisley & Hayes, 2003; Whiston, 2002, 2011). This emphasis from the school counseling profession reflects national initiatives. In 2001, the Institute of Education Sciences, the research arm of the U.S. Department of Education, was established to determine, through rigorous and relevant research, what interventions are effective and ineffective for improving student achievement and education outcomes. The What Works Clearinghouse (WWC), an initiative of the Institute of Education Sciences, was created in 2002 to identify studies that provide credible and reliable evidence of the effectiveness of education interventions. The purpose of WWC is to inform researchers, educators and policymakers of interventions designed to improve student outcomes.
The American School Counselor Association’s (ASCA, 2005) response to emerging national policy and initiatives included a call for school counselor-led interventions that contribute to increased student achievement as part of a comprehensive school counseling program. The need for more research to identify evidence-based interventions tying school counselors to improved student academic performance also surfaced in a school counseling Delphi study, which identified the most pressing research questions in the profession (Dimmitt, Carey, McGannon, & Henningson, 2005). The top priority cited by this Delphi study was the need to determine which school counseling interventions resulted in the greatest student achievement gains. In addition, five major reviews of school counseling research all discussed the need for more research to strengthen the link between school counselor interventions and student achievement (Brown & Trusty, 2005; Dimmitt, Carey, & Hatch, 2007; Whiston & Quinby, 2009; Whiston & Sexton, 1998; Whiston, Tai, Rahardja, & Eder, 2011). However, researchers continue to report limitations in the school counseling outcome research. Among the limitations are conclusions drawn from studies based on nonstandardized outcome assessments. For instance, in a review of school counseling studies, Brown and Trusty (2005) concluded that school counseling research has been limited by the lack of valid and reliable instruments that measure the skills, strategies and personal attributes associated with academic and social/relationship success. More recently, Whiston et al. (2011) completed a meta-analytic examination of school counseling interventions and also determined the dominance of nonstandardized outcome assessments in school counseling research as a significant limitation. These limitations continue to be a hindrance for the school counseling profession, given the goal of establishing evidence-based practices that link school counselor interventions to improved student outcomes. The current WWC’s Procedures and Standards Handbook (WWC, 2011) includes review procedures for evaluating studies that determine a particular intervention to be effective in improving student outcomes. The handbook provides nine reasons why a study under review would fail to meet WWC standards for rigorous research. Among the reasons is a failure to use reliable and valid outcome measures.
While a few valid instruments have recently been developed to measure school counseling outcomes (Scarborough, 2005; Sink & Spencer, 2007; Whiston & Aricak, 2008), they do not measure student changes in knowledge and skills related to academic achievement. The Student Engagement in School Success Skills survey (SESSS; Carey, Brigman, Webb, Villares, & Harrington, 2013) was developed to measure student use of the skills and strategies that were (a) identified as most critical for long-term school success and (b) could be taught by school counselors within the scope of the ASCA National Model, through classroom guidance. The importance of continuing to evaluate the psychometric properties of the SESSS lies in the fact that, for school counselors, there has typically been no standardized way to measure these types of outcomes and tie them directly to school counselor interventions. Previous studies on self-report measures of student metacognition indicate that it is feasible to develop such a measure for elementary-level students (Sperling, Howard, Miller, & Murphy, 2002; Yildiz, Akpinar, Tatar, & Ergin, 2009). The foundational concepts, skills and strategies of metacognition as well as the social skills and self-management skills taught in the Student Success Skills (SSS) program are developmentally appropriate for grades 4–10. The questions for the SESSS were developed to parallel these key strategies and skills taught in the SSS program. The instrument was tested for readability and is appropriate for grade 4 and above.
The SESSS is a self-report measure of students’ use of key skills and strategies that have been identified consistently over several decades as critically important to student success in school, as noted in large reviews of educational research literature (Hattie, Biggs, & Purdie, 1996; Masten & Coatsworth, 1998; Wang, Haertel, & Walberg, 1994a). Three skill sets have emerged from this research literature as common threads in contributing to student academic success and social competence: (a) cognitive and metacognitive skills such as goal setting, progress monitoring and memory skills; (b) social skills such as interpersonal skills, social problem solving, listening and teamwork skills; and (c) self-management skills such as managing attention, motivation and anger (Villares, Frain, Brigman, Webb, & Peluso, 2012). Additional research in support of these skills and strategies continues to weave a coherent research tapestry that is useful in separating successful students from students at risk of academic failure (Durlak, Weissberg, Dymnicki, Taylor, & Schellinger, 2011; Greenberg et al., 2003; Marzano, Pickering, & Pollock, 2001; Zins, Weissberg, Wang, & Walberg, 2004).
Linking school counseling programs and interventions to improved student outcomes has become increasingly important (Carey et al., 2013). One way for school counselors to demonstrate the impact of classroom guidance and small group counseling on achievement is by measuring the impact of their interventions on intermediate variables associated with achievement. These intermediate variables include the previously mentioned skills and strategies involving cognitive, social and self-management. Instruments that measure these critically important fundamental learning skills and strategies are limited.
The present article explores the convergent and divergent validity of the SESSS (Carey et al., 2013). The article builds upon previous research describing the item development of the SESSS and exploratory factor analysis (Carey et al., 2013) and a recently completed confirmatory factor analysis (Brigman et al., 2014). The current findings contribute to the establishment of the SESSS as a valid instrument for measuring the impact of school counselor-led interventions on intermediate variables associated with improved student achievement.
Method
The data collected on the SESSS occurred within the context of a multiyear, large-scale, randomized control trial funded through the U.S. Department of Education’s Institute of Education Sciences. The purpose of the grant was to investigate the effectiveness of the SSS program (Brigman & Webb, 2010) with fifth graders from two large school districts (Webb, Brigman, Carey, & Villares, 2011). In order to guard against researcher bias, the authors hired data collectors to administer the SESSS, Motivated Strategies for Learning Questionnaire (MSLQ) and Self-Efficacy for Self-Regulated Learning (SESRL), and standardized the training and data collection process. The authors selected these particular surveys because they reflected factors known to be related to effective learning in different ways and because they provided a range of measures, some of which were theoretically related to the SESSS and some of which were not.
Procedures
During the 2011–2012 academic year, graduate students who were enrolled in master’s-level Counselor Education programs at two universities were hired and trained in a one-day workshop to administer the SESSS, MSLQ and SESRL and handle data collection materials. At the training, each data collector was assigned to five of the 60 schools across two school districts. After obtaining approvals from the university institutional review board and school district, the research team members notified parents of fifth-grade students of the study via district call-home systems and sent a letter home explaining the study, risks, benefits, voluntary nature of the study and directions on how to decline participation. One month later, data collectors entered their assigned schools and participating classrooms to administer the study instruments. Prior to administering the instruments, each data collector read aloud the student assent. Students who gave their assent were instructed to place a precoded generic label at the top of their instrument, and then each data collector read aloud the directions, along with each item and possible response choice on the SESSS, MSLQ and SESRL. Each assigned data collector was responsible for distributing, collecting and returning all the completed instruments to a district project coordinator once the data collector left the school building according to the Survey Data Collection Manual. In addition, the data collector noted any student absences and/or irregularities, and confirmed that all procedures were followed.
The district project coordinators were responsible for verifying that all materials were returned and secured in a locked cabinet until they were ready to be shipped to a partner university for data analysis. The coordinators gathered demographic information from the district databases and matched it to the participating fifth-grade students and the precoded instrument labels through a generic coding system (district #1–2, school #1–30, classroom #1–6, student #1–25). The coordinators then saved the demographic information in a password-protected and encrypted Excel spreadsheet on an external device and shipped it to a partner university for data analysis.
Participants
A total of 4,342 fifth-grade students in two large school districts completed the SESSS. The following is the demographic profile of the total participants: (a) gender = 2,150 (49.52%) female and 2,192 (50.48%) male; (b) ethnicity = 149 (3.43%) Asian, 1,502 (34.59%) Black, 865 (19.92%) Hispanic, 18 (.42%) Native American, 125 (2.88%) Multiracial, 1,682 (38.74%) White, and 1 (.02%) no response; (c) socioeconomic status = 1,999 (46.04%) noneconomically disadvantaged and 2,343 (53.96%) economically disadvantaged; (d) disability = 3,677 (84.68%) nondisabled and 665 (15.32%) disabled; (e) 504 status = 4,155 (95.70%) non-504 and 187 504 (4.3%); and (f) English language learners (ELL) = 3,999 (92.1%) non-ELL and 343 (7.9%) ELL students. Demographic information for fifth-grade students in each school district is reported in Table 1.
Table 1
Fifth-Grade Student Participant Demographics by School District
Demographic Characteristics
|
District 1
(n = 2,162)
|
District 2
(n = 2,180)
|
|
|
|
Gender |
FemaleMale |
1,080 (49.90%)
1,082 (50.10%)
|
1,070 (49.10%)
1,110 (50.90%)
|
Ethnicity |
AsianBlack
Hispanic
Native American
Multiracial
White
No response |
89 (04.12%)
899 (41.58%)
165 (07.63%)
7 (00.32%)
64 (02.95%)
938 (43.40%)
—-
|
60 (02.75%)
603 (27.66%)
700 (32.11%)
11 (00.50%)
61 (02.80%)
744 (34.13%)
1 (00.05%)
|
SES |
Non-economically disadvantagedEconomically disadvantaged |
1,118 (51.71%)
1,044 (48.29%)
|
881 (40.41%)
1,299 (59.59%)
|
Disability |
NondisabledDisabled |
1,847 (85.43%)
315 (14.57%)
|
1,830 (83.94%)
350 (16.06%)
|
504 Status |
Non-504504 |
2,108 (97.50%)
54 (02.50%)
|
2,047 (93.90%)
133 (06.10%)
|
English language learners |
Non-ELLELL |
1,968 (91.03%)
194 (08.97%)
|
2,031 (93.17%)
149 (06.83%)
|
Note. n = number of students enrolled in the district; SES = socioeconomic status; ELL = English language learners.
Instruments
Student Engagement in School Success Skills. The SESSS (Carey et al., 2013) was developed to measure the extent to which students use the specific strategies that researchers have shown relate to enhanced academic achievement (Hattie et al., 1996; Masten & Coatsworth, 1998; Wang et al., 1994b). Survey items were written to assess students’ cognitive and metacognitive skills (e.g., goal setting, progress monitoring, memory skills), social skills (e.g., communication skills, social problem solving, listening, teamwork skills) and self-management skills (e.g., managing attention, motivation, anger). After the initial pool of items was developed, items were reviewed by an expert panel of elementary educators and school counselors and subjected to a readability analysis using the Lexile Framework for Reading system (MetaMetrics, 2012). At each stage of review, minor changes were made to improve clarity on several items.
Twenty-seven self-report items (plus six additional items used to control for response set) were assembled into a scale with the following directions: “Below is a list of things that some students do to help themselves do better in school. No one does all these things. No one does any of these things all the time. Please think back over the last two weeks and indicate how often you did each of these things in the last two weeks. Please follow along as each statement is read and circle the answer that indicates what you really did. Please do your best to be as accurate as possible. There are no right or wrong answers. We will not share your answers with your parents or teachers. We will not grade your answers.”
The response format included four options that reflected frequency of strategy use in the last two weeks: “I didn’t do this at all,” “I did this once,” “I did this two times” and “I did this three or more times.” This response format was not conducive to writing clear negatively worded items; therefore, six additional items were developed to help control for response set. Three of these additional items reflected strategies that elementary students were unlikely to use (e.g., searching the Internet for additional math problems to complete). Three items reflected strategies that elementary students were likely to use (e.g., asking a friend when homework was due), but they were not covered in the SSS program.
Based on a previous administration of the SESSS to 262 elementary students in the fourth through eighth grades, Carey et al. (2013) reported an overall alpha coefficient for reliability for the 27-item scale to be .91, and coefficient alphas for each grade ranged between .87 (for fifth grade) and .95 (for seventh grade). All items correlated well with the total scale (ranging between .34 and .63). Scores on the total scale were distributed approximately normally: M =65.83, SD = 15.44.
In addition, Carey et al., (2013) found in an exploratory factor analysis of the SESSS scores of 402 fourth through sixth graders that a four-factor solution provided the best model of scale dimensionality, considering both the solution’s clean factor structure and the interpretability of these factors. These four factors reflected students’ Self-Management of Learning, Application of Learning Strategies, Support of Classmates’ Learning and Self-Regulation of Arousal. Regarding the SESSS factors, Self-Management of Learning and Application of Learning Strategies related closely to the categories of cognitive skills, metacognitive skills and the intentional self-regulation of cognitive processes. Support of Classmates’ Learning related closely to social skills that support classroom learning. Self-Regulation of Arousal related to the self-management of arousal and emotion that can interfere with effective learning. While determining the actual associations of SESSS factors with specific, previously established constructs requires empirical study, it is encouraging that the factor structure determined in this research corresponded with previous research.
In a confirmatory factor analysis study (Brigman et al., 2014), using SESSS scores from a diverse sample of almost 4,000 fifth-grade students, who found that while a four-factor model fit the data well, the scales associated with Self-Management of Learning and Application of Learning Strategies correlated so highly (r = .90) as to be indiscriminate. These items associated with the two factors were combined, and the subsequent three-factor model also proved to better fit the data. Brigman et al. (2014) suggested that the SESSS is best thought of as having three underlying factors corresponding to Self-Direction of Learning (which represents the combination of the original Management of Learning and Application of Learning Strategies factors), Support of Classmates’ Learning and Self-Regulation of Arousal.
Based on factor loadings, Brigman et al. (2014) created three SESSS subscales. The Self-Direction of Learning subscale (19 items) reflects the students’ intentional use of cognitive and metacognitive strategies to promote their own learning. Typical items include the following: “After I failed to reach a goal, I told myself to try a new strategy and not to doubt my ability,” and “I tried to keep myself motivated by imagining what it would be like to achieve an important goal.” The Support of Classmates’ Learning subscale (six items) reflects the students’ intentional use of strategies to help classmates learn effectively. Typical items include the following: “I tried to help a classmate learn how to do something that was difficult for them to do,” and “I tried to encourage a classmate who was having a hard time doing something.” Finally, the Self-Regulation of Arousal subscale (three items) reflects students’ intentional use of strategies to control disabling anxiety and cope with stress. Typical items include the following: “I focused on slowing my breathing so I would feel less stressed,” and “I imagined being in a calm place in order to feel less stressed.”
Motivated Strategies for Learning Questionnaire. The MSLQ is a 55-item, student self-report instrument with five subscales that measure different aspects of students’ motivation, emotion, effort and strategy use (Pintrich & DeGroot, 1990). The different subscales of the MSLQ are designed to be used singly or in combination to fit the needs of a researcher (Duncan & McKeachie, 2005). Items were adapted from various instruments used to assess student motivation, cognitive strategy use and metacognition (e.g., Eccles, 1983; Harter, 1981; Weinstein, Schulte, & Palmer, 1987). The present study used the following four subscales of the MSLQ: Cognitive Strategy Use, Self-Regulation, Self-Efficacy and Test Anxiety.
The Cognitive Strategy Use subscale is composed of 13 items that reflect the use of different types of cognitive strategies (e.g., rehearsal, elaboration, organizational strategies) to support learning. Typical items include the following: “When I read material for class, I say the words over and over to myself to help me remember,” “When I study, I put important ideas into my own words” and “I outline the chapters in my book to help me study.” Pintrich and DeGroot (1990) reported that the Cognitive Strategy Use subscale is reliable (Cronbach’s alpha = .83).
The Self-Regulation subscale includes nine items that reflect metacognitive and effort management strategies that support learning. Typical items include the following: “I ask myself questions to make sure I know the material I have been studying” and “Even when study materials are boring I keep working until I finish.” Pintrich and DeGroot (1990) reported that the Self-Regulation subscale is reliable (Cronbach’s alpha = .74).
The Self-Efficacy subscale is composed of nine items that reflect students’ ratings of their level of confidence in their ability to do well in classroom work. Typical items include the following: “Compared with others in this class, I think I’m a good student” and “I know that I will be able to learn the material for this class.” Pintrich and DeGroot (1990) reported that the Self-Efficacy subscale is reliable (Cronbach’s alpha = .89).
The Test Anxiety subscale includes four items that reflect students’ ratings of their experience of disabling levels of anxiety associated with classroom tests and examinations. Typical items include the following: “I am so nervous during a test that I cannot remember facts I have learned” and “I worry a great deal about tests.” Pintrich and DeGroot (1990) reported that the Self-Efficacy subscale is reliable (Cronbach’s alpha = .75).
Factor analyses indicated that these MSLQ subscales are related to different latent factors. Scores on the Cognitive Strategy Use subscale have been demonstrated to be related to grades on quizzes and examinations, grades on essays and reports, and overall class grades. Scores on the Self-Regulation subscale have been shown to be related to the above measures plus student performance on classroom seatwork assignments. Scores on the Self-Efficacy subscale have been demonstrated to be related to students’ grades on quizzes and examinations, grades for classroom seatwork assignments, grades on essays and reports, and overall class grades. Scores on the Test Anxiety subscale proved to be associated with lower levels of performance on classroom examinations and quizzes, as well as course grades (Pintrich & DeGroot, 1990).
Duncan and McKeachie (2005) reviewed the extensive research on the psychometric properties and research uses of the MSLQ. They concluded that the subscales are reliable, measure their target constructs and have been successfully used in numerous studies to measure student change after educational interventions targeting these constructs.
Self-Efficacy for Self-Regulated Learning scale. The SESRL was designed to measure students’ confidence in their abilities to perform self-regulatory strategies. It is a seven-item self-report instrument based on the Children’s Self-Efficacy Scale (Bandura, 2006; Usher & Pajares, 2008). Items (e.g., “How well can you motivate yourself to do schoolwork?”) reflect students’ judgments about their abilities to perform self-regulation strategies identified by teachers as being frequently used by students (Pajares & Valiante, 1999). The scale has been used successfully with older elementary students in a self-read format and with fourth graders in a read aloud administration format (Usher & Pajares, 2006). Cronbach’s alpha estimates of reliability have ranged between .78 and .84 (Britner & Pajares, 2006; Pajares & Valiante, 2002; Usher & Pajares, 2008). Factor analysis has suggested that the scale is unidimensional. Concurrent validity studies have indicated that the scale is related to measures of self-efficacy, task orientation and achievement (Usher & Pajares, 2006).
Data Analysis
In the initial analysis of the three SESSS subscales, the present authors used mean imputation to replace missing survey responses, by replacing a missing response with the overall mean for that survey item. For each of the 33 SESSS items, only 8.3%–9.1% of the responses were missing. Mean imputation is appropriate when the percentage of missing data is less than 10% and can be considered to be missing at random (Longford, 2005). In the current study, the students with missing survey data had an average SESSS score equal to that of the students with a complete response set, thus supporting the notion that the data were missing at random. Coefficient alpha, used as a measure of reliability, was calculated for each of the subscales before missing values were replaced.
Both convergent and discriminant evidence is needed in the validation process (Campbell & Fiske, 1959; Messick, 1993). Messick (1993) argued that while convergent evidence is important, it can mask certain problems. For example, if all tests of a construct do not measure a particular facet of that construct, the tests could all correlate highly. Likewise, if all tests of a construct include some particular form of construct-irrelevant variance, then the tests may correlate even more strongly because of that fact. Due to these possible shortcomings of convergent evidence, discriminant evidence is needed to ensure that the test is not correlated with another construct that could account for the misleading convergent evidence.
To determine the validity of the three SESSS subscales, the authors examined the correlations between each of the subscales with five other measures: four subscales of the MSLQ (Self-Efficacy, Cognitive Strategy Use, Self-Regulation and Test Anxiety), and the SESRL. Specifically, the authors considered the strength and direction of the SESSS subscales’ correlations with these other measures.
Results
Descriptive statistics and reliability estimates for the instruments used in this study are contained in Table 2. Coefficient alphas for the three SESSS subscales (Self-Direction of Learning, Support of Classmates’ Learning and Self-Regulation of Arousal), were 0.89, 0.79 and 0.68, respectively, and 0.90 for the SESSS as a whole. These results indicate good internal consistency (i.e., that the items within each instrument measure the same construct).
All correlations between pairs of subscales appear in Table 3. Because of the large sample size in this study, statistical significance by itself could be misleading, so the authors used the magnitude and direction of the correlations for their interpretations. Correlation is an effect size reflecting the degree of association of two variables (Ellis, 2010). The correlations among the three SESSS subscales ranged between .47 and .70, which suggests that the subscales measured related but discriminable dimensions of students’ success skill use. In assessing the concurrent validity of these three subscales, it was helpful to first focus on the scales that correlated most highly with the three SESSS subscales. The three SESSS subscales followed the same pattern with respect to strength of correlation. All three correlated most highly with both the Cognitive Strategy Use and Self-Regulation subscales of the MSLQ. These two subscales measure the students’ reported use of cognitive and metacognitive strategies associated with effort management and effective learning.
Table 2
Descriptive Statistics and Reliability Estimates for the Study Scales
Scales |
Scales |
M
|
SD
|
Alpha
|
|
|
|
|
|
|
|
|
|
|
SESSS |
Self-Direction of Learning |
48.6
|
10.88
|
0.89
|
|
Support of Classmates’ Learning |
16.6
|
4.28
|
0.79
|
|
Self-Regulation of Arousal |
7.9
|
2.60
|
0.68
|
|
|
|
|
|
MSLQ |
Self-Efficacy |
28.3
|
4.41
|
0.83
|
|
Cognitive Strategy Use |
48.6
|
8.31
|
0.82
|
|
Self-Regulation |
31.2
|
5.08
|
0.75
|
|
Test Anxiety |
8.8
|
4.03
|
0.79
|
|
|
|
|
|
SESRL |
Self-Eff. for Self-Reg. Learning |
31.2
|
6.10
|
0.83
|
|
|
|
|
|
|
|
Note. SESSS = Student Engagement in School Success Skills; MSLQ = Motivated Strategies for Learning Questionnaire; SESRL = Self-Efficacy for Self-Regulated Learning.
Table 3
Correlations Between Scales
|
SESSS
|
|
MSLQ
|
|
|
SDL
|
SCL
|
SRA
|
|
SE
|
CSU
|
SR
|
TA
|
SESRL
|
SESSS |
|
|
|
|
|
|
|
|
|
SDL
|
—–
|
0.70*
|
0.58*
|
|
0.28*
|
0.54*
|
0.53*
|
-0.02
|
0.44*
|
SCL
|
|
—–
|
0.47*
|
|
0.25*
|
0.39*
|
0.39*
|
-0.02
|
0.35*
|
SRA
|
|
|
—–
|
|
0.12*
|
0.32*
|
0.30*
|
0.08*
|
0.24*
|
MSLQ |
|
|
|
|
|
|
|
|
|
SE
|
|
|
|
|
—–
|
0.61*
|
0.54*
|
-0.38*
|
0.67*
|
CSU
|
|
|
|
|
|
—–
|
0.70*
|
-0.20*
|
0.68*
|
SR
|
|
|
|
|
|
|
—–
|
-0.25*
|
0.70*
|
TA
|
|
|
|
|
|
|
|
—–
|
-0.35*
|
|
|
|
|
|
|
|
|
|
|
SESRL |
|
|
|
|
|
|
|
|
—–
|
Note. SESSS = Student Engagement in School Success Skills survey; MSLQ = Motivated Strategies for Learning Questionnaire; SESRL = Self-Efficacy for Self-Regulated Learning scale; SDL = Self-Direction of Learning; SCL = Support of Classmates’ Learning; SRA = Self-Regulation of Arousal; SE = Self-Efficacy; CSU = Cognitive Strategy Use; SR = Self-Regulation; TA = Test Anxiety;
*p < .01
Next, the three SESSS subscales correlated with the SESRL, which measures students’ beliefs in their capability to engage in common effective self-regulation learning strategies. Again, all three SESSS subscales followed the same pattern, and had a considerable drop in magnitude of correlation with the MSLQ Self-Efficacy subscale, which measures students’ reports of general academic self-efficacy. While smaller, the correlations with the Self-Efficacy subscale (which ranged between .12 and .28) were practically different than 0. The Self-Direction of Learning subscale had the strongest correlations with the other measures, followed by the Support of Classmates’ Learning subscale and finally by the Self-Regulation of Arousal subscale. There is evidence that the three SESSS subscales, the Cognitive Strategy Use subscale and the Self-Regulation subscale of the MSLQ, and the SESRL all measure some common dimension of an underlying construct, probably relating to students’ intentional use of strategies to promote effective learning.
The Self-Regulation of Arousal subscale was the only one of the three SESSS subscales to be significantly correlated with the MSLQ Test Anxiety subscale. Conceptually, students’ abilities to self-regulate arousal should be related to their reported levels of test anxiety. However, given the weak relationship (r = 0.08) and the fact that this observed correlation was actually opposite in direction to the relationship that would be expected, this finding should not be given undue weight. The results of this study offer little to no evidence that the three SESSS subscales measure the same construct as the MSLQ Test Anxiety subscale. This weak or nonexistent relationship is discriminant evidence in that the other SESSS subscales did not correlate strongly or at all with the MSLQ Test Anxiety subscale. However, the three other MSLQ subscales and the SESRL all showed moderate, negative correlations with the MSLQ Test Anxiety subscale. These differing patterns of correlation with MSLQ Test Anxiety suggest that the SESSS subscales capture a different dimension than the common dimension of the underlying construct measured by the MSLQ subscales (including the Test Anxiety subscale) and the SESRL.
Discussion
The observed pattern of results is very useful in determining the validity of inferences that currently can be made from SESSS scores. Based on prior factor analytic studies (Brigman et al., 2014; Carey et al., 2013), the present authors made an attempt to create three SESSS subscales based on the items that load most strongly on each of three underlying factors. These three SESSS subscales showed good internal consistency and moderate intercorrelations suggesting that the three subscales most probably measure related but discriminable dimensions of students’ success skill use. However, the three SESSS subscales showed essentially the same pattern of correlation with comparison scales. Similarly, the pattern of results suggests that there is little or no overlap between the construct measured by the three SESSS subscales and the construct measured by the Test Anxiety subscale of the MSLQ.
Unfortunately, these results do not shed much light on any differences among the SESSS subscales. Each subscale showed essentially the same pattern of correlations with the comparison scales even where differences would have been expected. For example, the authors would have expected the SESSS Self-Regulation of Arousal subscale to correlate significantly with the MSLQ Test Anxiety subscale, since individuals who are better able to regulate their levels of emotional arousal would be expected to experience less specific anxiety.
These results suggest that the SESSS as a whole represents a valid measure of students’ intentional use of strategies to promote academic success. While prior factor analytic studies (Brigman et al., 2014; Carey et al., 2013) have suggested that the SESSS has three related dimensions, making inferences based upon the three SESSS subscales related to these dimensions is not warranted. Instead, until evidence can be found that these three subscales measure discriminable dimensions of success skill use, the SESSS should be used as a unitary measure in research and practice. Future research in this area is necessary.
Conclusion
Researchers have thoroughly documented the need for school counselors to demonstrate their impact on student achievement (Brown & Trusty, 2005; Dimmitt et al., 2007; Whiston & Quinby, 2009; Whiston & Sexton, 1998; Whiston et al., 2011). School counselor-led interventions that provide evidence of improving student performance remain at the top of national initiatives and research agendas (ASCA, 2005; Dimmitt et al., 2005). However, there is a limited amount of standardized outcome assessments specifically tied to school counselor interventions available to evaluate changes in student knowledge, skills and attitudes related to academic achievement.
The SESSS is easy to administer (it takes fewer than 15 minutes to complete) and educators use it in schools to gain valuable information about students’ use of skills and strategies related to school success. Results on the SESSS may be used to improve the implementation of school counselor-led interventions and reinforcement of specific skills in school and home settings. Current findings indicate that SESSS results should be interpreted as a whole rather than by subscale. SESSS results can be used to monitor student progress, and identify gaps in learning as well as factors affecting student behavior.
The SESSS may be used as a screening tool to identify students in need of school counseling interventions and to evaluate student growth in the academic and behavioral domains. A review of SESSS student data may reveal gaps between student groups and identify the need for additional education opportunities, as well as lead to decisions about future goals of the school counseling program and discussions with administration and staff about program improvement (Carey et al., 2013). Finally, SESSS student data can be used to demonstrate how school counselors can impact student academic and personal/social development related to classroom learning and achievement. SESSS results can be shared with various stakeholders through a variety of report formats (e.g., Web sites, handouts, newsletters), publications, or presentations at the local, regional or national level to document the school counselor’s ability to affect student outcomes most related to parents, administrators and other staff (Carey et al., 2013).
There is one limitation in the study worth noting. While the sample size for the current analysis is considered large and diverse, all participates represented a single grade level, fifth grade, and two public school districts. Future analyses should include students from various elementary and secondary settings and grade levels.
Future research on the psychometric properties of the SESSS should include studies that address (a) the reliability and intercorrelations of the assessments corresponding to the three SESSS subscales and (b) the predictive validity that establishes the relationships between SESSS subscales and measures of academic success (e.g., achievement test scores, grades, teacher ratings). These additional studies are necessary to firmly establish the utility of the SESSS as a reliable and valid measure of student success skills.
Conflict of Interest and Funding Disclosure
The authors reported no conflict of
interest or funding contributions for
the development of this manuscript.
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Elizabeth Villares is an associate professor at Florida Atlantic University. Kimberly Colvin is an assistant professor at the University at Albany, SUNY. John Carey is a professor at the University of Massachusetts-Amherst. Linda Webb is a senior research associate at Florida State University. Greg Brigman, NCC, is a professor at Florida Atlantic University. Karen Harrington is assistant director at the Ronald H. Fredrickson Center for School Counseling Research and Evaluation at the University of Massachusetts-Amherst. Correspondence can be addressed to Elizabeth Villares, 5353 Parkside Drive, EC 202H, Jupiter, FL 33458, evillare@fau.edu.
Dec 2, 2014 | Book Reviews
In Loving Someone with Anxiety: Understanding & Helping Your Partner, counselor Kate N. Thieda provides a wealth of accessible insights and practical strategies intended for the audience of a layperson with an anxious partner. However, a reader with an anxious friend, family member or roommate also can benefit from the book’s material. And while Thieda offers information about various anxiety disorders, she emphasizes that one’s anxiety need not qualify as a diagnosable disorder for it to cause distress and strain a relationship.
The book contains topics including the difference between “everyday” anxiety and anxiety disorders, characteristics of specific anxiety disorders and the risk of comorbid conditions, the ways anxiety affects romantic relationships, practical techniques for communication and relaxation, suggestions for responding to specific types of anxiety, ideas for positive lifestyle changes to reduce anxiety, and self-care strategies for caregivers. Throughout the chapters, Thieda offers frequent vignettes of partners facing challenges and implementing solutions. As accessible as her writing already is, these examples further illuminate the points she makes.
Thieda carries out a number of important tasks in this book. Although she suggests that the reader encourage his or her partner to seek professional help if needed, she also offers clear directions and examples for therapeutic strategies at home, such as helping one’s partner create an anxiety hierarchy and move through it. In doing so, she encourages the reader to hope and empowers him or her to better support a partner. Thieda also explains why accommodating one’s partner’s anxieties (e.g., by carrying out a partner’s OCD rituals, making excuses for him or her, offering constant reassurance) is ultimately more destructive than helpful because it communicates that the anxiety is more powerful than the person who experiences it. In addition to providing information about how to help one’s partner, Thieda prioritizes the mental and emotional state of her reader. She normalizes anxious feelings and discusses the high prevalence of anxiety in our culture; she also validates the unpleasant emotions that often accompany caregiving, such as frustration and guilt. Thieda processes the question of whether and how to tell others about one’s partner’s anxiety, emphasizing a balance of respect for one’s partner with the importance of one’s own self-care and support from others.
Although the book is not specifically meant for mental health professionals, it contains a great deal of information that a counselor can use to communicate more effectively with clients. A counselor might recommend that clients read this book and bring questions back to counseling, or implement some of the strategies Thieda offers, which include empathic listening, mindfulness techniques, body scans and abdominal breathing.
A possible limitation of Loving Someone with Anxiety is that it uses DSM-IV-TR diagnostic criteria for anxiety disorders rather than the new criteria of the DSM-5. For example, one important distinction between editions of the manual is that whereas the DSM-IV-TR characterizes PTSD as an anxiety disorder, the DSM-5 identifies it as a trauma- and stressor-related disorder, a change probably at least partly intended to alleviate the stigma of the term anxiety disorder. A reader of Thieda’s book might miss out on this and similar changes in the diagnostic nomenclature. However, because this book is intended for laypeople and Thieda specifically cautions against a reader using the information she provides to diagnose his or her partner, the use of DSM-IV-TR criteria should not have an impact on the reader.
Loving Someone with Anxiety is a valuable resource for those hoping to support an anxious partner, to gain freedom from anxiety’s restrictions and to engage in healthy self-care, as well as for counselors working with such supportive partners.
Reviewed by: Carie McElveen, the National Board for Certified Counselors, Greensboro, NC.
Thieda, K. N. (2013). Loving someone with anxiety: Understanding & helping your partner. Oakland, CA: New Harbinger.
Dec 2, 2014 | Book Reviews
Acceptance and commitment therapy (ACT) has received significant research attention over the past decade and also been used frequently to treat individuals presenting with a variety of clinical concerns ranging from chronic pain and diabetes management to severe depression and substance abuse. In The Big Book of ACT Metaphors: A Practitioner’s Guide to Experiential Exercises and Metaphors in Acceptance and Commitment Therapy, Jill A. Stoddard and Niloofar Afari provide a comprehensive A–Z resource guide for practitioners, trainees and others in the counseling profession to use when working with clients. Additionally, novel metaphors, new experiential exercises and detailed scripts were collected from the entire ACT community to make this a collaborative endeavor and to provide a “one-stop” shop for all.
The book includes nine chapters and 202 pages of material, as well as 10 appendices, additional resources and a complete list of references. The first two chapters provide a brief introduction to Relational Frame Theory (RFT) and specifically explain how ACT is rooted and theoretically grounded in this model. The reader learns about the six core therapeutic processes and the ACT hexaflex. The authors also adequately discuss the function of metaphors, how to create therapeutic metaphors and how to effectively deliver tailored metaphors in treatment. Chapters 3 through 8 provide a more in-depth description of each of the six core ACT processes. Chapter 3 covers acceptance and willingness while chapter 8 focuses on committed action. The other core processes include cognitive defusion, present-moment awareness, self-as-context and values. In each of these chapters, the authors summarize the core process and provide brilliant exercises, metaphors and scripts for the reader, specifically showing how this theory and approach can be translated into practice. The final chapter ties it all together by summarizing and reviewing material from the first eight chapters and also by using a sailing boat metaphor to demonstrate how multiple core processes can occur in counseling. The authors address general guidelines for tailoring metaphors and common stumbling blocks.
While numerous ACT textbooks and workbooks are available, this book is essential for any current or future ACT practitioner. In addition to including over 100 metaphors and exercises, Stoddard and Afari have beautifully organized the content in this book and matched each exercise or metaphor with its respective core process (e.g., values, committed action). The authors go above and beyond to cite the source from which the material was collected and even provide specific page numbers in order to assist the reader in obtaining previously published material. The inclusion of material that can be used for both group counseling and individual sessions represents a strength of the book. Each chapter is concise, easy to read and detailed enough for even the most novice counselor to replicate in session. In addition to the book’s numerous strengths, the authors may consider adding a chapter in future editions on the role of culture and incorporating additional multicultural metaphors and exercises to utilize in practice, ultimately fostering more cultural dialogue and a stronger therapeutic alliance with clients engaging in treatment.
In summary, this practical, useful and relevant book provides an excellent foundation and guide for new clinicians and also a one-stop shop for well-seasoned ACT counselors. Whether as a trainee, clinician, researcher, supervisor or professor, there is something in this book that you can benefit from and can add to your current toolbox.
Reviewed by: Mary-Catherine McClain, The University of Georgia, Athens, GA.
Stoddard, J., & Afari, N. (2014). The big book of ACT metaphors: A practitioner’s guide to experiential exercises & metaphors in acceptance & commitment therapy. Oakland, CA: New Harbinger.
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Dec 2, 2014 | Video Reviews
Multicultural Competence in Counseling & Psychotherapy delves into key aspects of multicultural counseling via an interview with Derald Wing Sue conducted by Victor Yalom. In just under an hour and a half, they explore the following topics: color-blindness, micro-aggressions, developing cultural competence, the race lab, the invisible white man, and the caterpillar and the ant. Each discussion offers viewers a candid analysis of these phenomena and their relevance to competent counseling practice.
Throughout the existentially grounded interview, Sue validates personal and developmental challenges as part of the process of building cultural awareness, knowledge and skill. Sue consistently invites viewers to confront roadblocks to culturally competent practice such as taking a colorblind approach for fear of appearing racist, rigidly apply theories and techniques, experiencing implicit bias, or failing to anticipate our social impact on clients. He also offers practical suggestions for counselor educators, supervisors and trainees such as the use of recording, integration of experiential reality in training and supervision, creating validating and inviting office spaces, and striving for authenticity and reflexivity in practice.
In particular, Sue addresses concepts that inform counselor education and supervision practice through identification and discussion of both challenges and strategies in fostering cultural competence among counselor trainees. Thus, this video is ideally suited for doctoral students and could be used as part of the didactic curricula in courses focused on pedagogy, supervision, leadership and advocacy, or during doctoral fieldwork as students intern as instructors and supervisors. Likewise, the compelling combination of instructional content blended with Sue’s perspective and insights lends itself well to master’s-level counseling courses focused on multicultural counseling and advocacy or fieldwork. Sue’s expertise and personal disclosures have the potential to crystalize concepts for counselor trainees, normalize the challenges of developing cultural competence and inspire students to commit to a continual journey toward cultural competence.
Multicultural Competence in Counseling & Psychotherapy is well suited for classroom use or as an accompaniment to lessons or assigned readings for students engaged in distance learning. It should be noted that while the video can be viewed in one or two sittings, the concepts addressed are complex and may be more than students can digest in one or two sittings. It also should be noted that while the organization of chapter segments may be useful in selecting sections to include in class sessions or to accompany readings, some of the chapter divisions split related content. For example, Sue begins discussing the four major goals of training in the chapter on developing cultural competence and continues in the chapter on the race lab.
Yalom’s interview of Sue provides a platform to evoke Sue’s personal and professional experience as a pioneer in our field. Thus, as Sue addresses each phenomenon, he contextualizes it in a manner that supports a full understanding of its integral relevance to multicultural counseling and therapy. For example, Sue reflects on coming to a Eurocentric field with culturally bound theories and values that not only failed to account for cultural diversity, but also contributed to pathologizing it. The inclusion of his experience exemplifies the problem for viewers, sheds light on the courageous and vital work he and others have done, and underscores the charge to each of us to practice cultural competence and advocacy as counselors, educators and supervisors.
Reviewed by: Amie Manis, NCC, Capella University.
Psychotherapy.net (Producer), & Yalom, V. (Director). (2014). Multicultural Competence in Counseling & Psychotherapy with Derald Wing Sue [DVD]. (Available in DVD and video streaming from http://www.psychotherapy.net/video/multicultural-competence-psychotherapy-sue)
Available in DVD and streaming format as part of video subscription at Psychotherapy.net/subscriptions.
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Dec 2, 2014 | Book Reviews
When most experts in a field state that they “wrote the book” on a topic, it is merely a complimentary figure of speech; however, Dr. Virginia B. Allen has literally written the book on professional counselors working within the legal system. Drawing on more than 20 years of experience as a professional counselor working within the family court system, Dr. Allen has developed a comprehensive review of the field of forensic counseling titled Counseling in the Family Law System: A Professional Counselor’s Guide. At first glance, I thought this book would detail how counselors could collaborate with other professionals working within the legal system to advocate for clients, but that impression was only partially correct. I did not realize that professional counselors could play an integral role within the family court system as advocates for children and evaluators in custody suits, work as mediators between aggrieved parties, and operate as case managers within the judicial system.
In the first part of the guide, Dr. Allen explores the foundations of forensic counseling and the family law system, defining forensic counseling and providing a greater understanding of legal terminology and the various functions that professional counselors can perform in this venue. She works to dispel many myths associated with working in the family law courts, and also highlights the realities of these positions. As with any area of specialization in the counseling field, it is important to understand the scope of practice for such work, and Dr. Allen clearly outlines the types of training needed to prepare for this area of counseling. Likewise, she discusses ethical considerations for the positions of case managers, mediators and custody evaluators. Additionally, she explores the standards of practice outlined by the Association of Family and Conciliation Courts.
The second part of the book focuses on the basics of counseling practice within the field of family law. This section is extremely useful to beginning counselors in this field or to those who might be contemplating a transition to this area of practice, as it provides practical examples of interviewing basics and the forms of report writing required. Continuing to draw on her own expertise, Dr. Allen guides the reader through the process of working a case, as well as understanding and conducting special circumstances cases. She describes how to provide testimony, prepare for a case, professionally present oneself in court, and build professional relationships with lawyers and judges within the system.
The only limitation of this book, if it could be called that, is the fact that there is little published material to which one can compare it. Counseling in the Family Law System is the first book of its kind to guide professional counselors through the family court system and to provide an understanding of how to prepare for and practice within this specialized field. Overall, I came away with a new perspective on the possibilities for practice as a professional counselor. I admit that I was not aware of this specialty area and the degree to which counselors are already prepared to enter this field, possessing the ability to communicate effectively with others from varying age groups and culturally diverse populations, the skill to advocate on behalf of clients of all ages, and the experience to evaluate clients and to appropriately mediate disparate views or competing interests. Based upon her training and extensive experience in the profession, Dr. Allen opens the field of forensic counseling to new practitioners and to established professionals alike, and to the possibilities for expanded practice in the field of professional counseling.
Allen, V. B. (2014). Counseling in the family law system. New York, NY: Springer.
Reviewed by: Michael A. Keim, NCC, University of West Georgia, Carrollton, GA.
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Dec 2, 2014 | Book Reviews
Multiculturalism and Diversity in Clinical Supervision: A Competency-Based Approach, the potential for mixing two very complex domains into one complex book is certainly present.
Fortunately, there are portions of this book that break down both multiculturalism and supervision into realistic ideas that can be infused into anyone’s personal counseling or supervision style. Whereas some supervision texts are hyperfocused on steps and actions that must be taken to become a competent supervisor, Multiculturalism and Diversity in Clinical Supervision: A Competency-Based Approach takes a step back, instead invoking a more wide-angle view of the supervision process and how multiculturalism is central throughout it. This comprehensive approach is most readily apparent in Chapter 2, where the authors illustrate supervision and culture as interwoven circles in which the client’s, the counselor’s and the supervisor’s personal and cultural values collide within every interaction. Furthermore, the author breaks down each of these levels using vignettes and examples to show the reader how these different areas connect and collide with one another. While this information does not give a map or guideline of how to conduct supervision, it does invoke further contemplation about how one’s own personal tendencies and others’ backgrounds can affect the supervision process, a topic that is often skimmed over in traditional supervision literature.
While the focus of this book is unique and much needed in the supervision literature base, there are some limitations to how the authors structured the text, the most notable of which is that this book is clearly geared toward psychologists and not counselors. For a new or novice supervisor, this omission may prove problematic, as the basic building blocks of supervision for counselors are absent.
The second critique of this book is the creation of its chapters. Instead of following a traditional outline in which each chapter builds toward the next, further elaborating and clarifying ideas from the previous chapter, this text reads more as a series of disconnected articles that have been compiled into one volume. Therefore, each chapter is self-contained, with its own beginning, middle and end, as well as its own particular writing style. The lack of continuity makes this text a somewhat arduous read at times.
But overall, the macro-level focus of Multiculturalism and Diversity in Clinical Supervision: A Competency-Based Approach is a refreshing outlook on how the personal and cultural qualities of counselor and supervisor intertwine within the supervision process. On one hand, the manner in which this book is written may make it a difficult selection for counselors and counselors-in-training who do not yet have a solid foundation in counseling supervision. On the other hand, counselors and supervisors who are up to date on the current counseling supervision literature may find that the ideas within this book can spark self-reflection on how their own personal qualities and cultural orientation arise in the supervision process.
Reviewed by: Mark P. Eades, NCC, University of North Carolina at Greensboro, Greensboro, NC.
Falender, C. A., Shafranske, E. P., & Falicov, C. J. (Eds.). (2014). Multiculturalism and diversity in clinical supervision: A competency-based approach. Washington, DC: American Psychological Association.
Dec 2, 2014 | Book Reviews
Philip Brownell starts Spiritual Competency in Psychotherapy with a quote from the Bible, which may put off some non-Christian counselors. However, he issues a disclaimer early in the text that although he brings in excerpts from other religious leanings, he generally discusses what he knows best—Christianity. The book, divided into three parts, has eighteen chapters that describe spirituality and religion according to both older and more recent religious beliefs.
The first part of the book includes the first through the fifth chapters. Brownell delves into spirituality through the lenses of three faiths—Judaism, Christianity and Islam. He journeys with the reader through Eastern philosophies to the New Age movement. Brownell then discusses the similarities and differences between spirituality and religion, and makes it clear that though many apply the two terms interchangeably, clear differences exist. He touches on spirituality and religion from the psychological, philosophical, theoretical and coherentist points of view. He ends the first part of the book by discussing the process of personal spirituality and ethical issues for the various helping professions. Brownell uses the diagram of a strand of DNA to explain spirituality and religion as both a process and a relationship. Using personal anecdotes, he takes the reader through the process of spirituality and religion, and growth in spiritual maturity. Though Brownell does not advocate counselors necessarily sharing their clients’ spiritual and religious practices, he implores counselors to understand how these play a part in clients’ make-up.
In part two of the book, Brownell writes about how spirituality looks in therapy, providing a face for therapy in practice, especially from the Christian perspective. He admonishes counselors to “treat religious experiences as legitimate” (p. 50), but encourages them to question these experiences respectfully enough to know which aspect can be used to help clients. He avers that spirituality is more personal and individual, whereas religion is a communal experience. He provides examples from various religious beliefs to explain these differences to the counselor inclined towards spiritual competency. Much as researchers in multicultural competency in therapy advocate areas for counselor concentration, so Brownell urges counselors to be aware of their own assumptions, biases, behaviors and values, as they recognize how similar and/or different they may be from their clients.
Part three of the book deals with common spiritual issues encountered in therapy. Brownell approaches this part from an existential perspective and establishes that every counselor can grow in spiritual competency to help clients achieve the help they need. The section would have been complete with case studies of counselors applying spiritual competencies with clients from various religious orientations, but Brownell provides additional information. He urges counselors to work especially in the here-and-now with clients and reaffirms what most research on client outcomes indicates as helpful—making connections with clients. Brownell demonstrates how spiritual competency endows counselors with skills necessary to help clients take bold steps and explore uncertain areas in their lives. Finally, Brownell addresses a sensitive topic in religious circles—the abuse of clients by religious leaders. He emphasizes the burden upon counselors in upholding the trust of clients, and also encourages counselors to work with religious leaders to benefit clients. Brownell points out that counselors deal with clients as well as their faith community and what that faith teaches. Counselors are not to act as theologians or evangelists but are encouraged to discover how clients interpret their faith and how this interpretation manifests in therapy. He ends the book with a look at death—that of both clients and their loved ones—and counselors’ role in providing support for clients’ meaning making.
In summary, Brownell’s book advocates for the need to combine ethical codes in any helping professional field with good judgment and knowledge of various religious beliefs. Though many examples are Christian-based, the book is still relevant for both the beginner and expert counselor. It is fashioned in a way that allows the reader to move to any chapter that addresses his or her particular needs. Although Brownell discloses his Christian background early on, he does not approach the subject of spirituality with the emphasis one might have expected from a minister.
Reviewed by: Hannah E. Acquaye, doctoral student in counselor education, University of Central Florida, Orlando, Florida.
Brownell, P. (2015). Spiritual competency in psychotherapy. New York, NY: Springer.
The Professional Counselor
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Oct 15, 2014 | Article, Volume 3 - Issue 1
Jeffrey M. Warren, Edwin R. Gerler, Jr.
Consultation is an indirect service frequently offered as part of comprehensive school counseling programs. This study explored the efficacy of a specific model of consultation, rational emotive-social behavior consultation (RE-SBC). Elementary school teachers participated in face-to-face and online consultation groups aimed at influencing irrational and efficacy beliefs. A modified posttest, quasi-experimental design was utilized. Findings suggested face-to-face RE-SB consultation is useful in directly promoting positive mental health among teachers and indirectly fostering student success. Implications and recommendations for school counselors are presented.
Keywords: school counseling, irrational beliefs, rational emotive behavior therapy, consultation, efficacy beliefs, cognitive behavioral therapy
Professional school counselors are largely responsible for developing and maintaining comprehensive school counseling programs. Comprehensive programming includes collaboration and consultation aimed at supporting teachers and influencing student achievement. The recently released third edition of the ASCA National Model further supports collaboration and consultation to help teachers influence student achievement (ASCA, 2012). Consultation has been defined by Caplan (1970) as “a process of interactions between two professional persons—the consultant, who is a specialist, and the consultee, who invokes a consultant’s help in regard to a current work problem” (p. 19). More recently, Kampwirth and Powers (2012) noted that engaging in collaborative endeavors during the consultation process fosters egalitarian relationships and often yields the greatest degree of change. School counselors engaging in consultation with teachers from a collaborative perspective are typically successful in advancing educational opportunities and fostering student growth (Baker & Gerler, 2008; Schmidt, 2010; Schmidt, 2014; Sink, 2008).
Parsons and Kahn (2005) describe an integrated consultation model in which school counselors are agents of change and students are influenced systemically. In this model, for example, school counselors may provide consultation to a teacher or group of teachers in efforts to identify goals, solutions and resources aimed at meeting the needs of the school. School counselors also may engage in consultation when providing information, instructing or resolving adversities (Purkey, Schmidt, & Novak, 2010; Schmidt, 2010; Schmidt, 2014). Consultation can be conducted using various theoretical paradigms of counseling (see Crothers, Hughes, & Morine, 2008; Henderson, 1987; Jackson & Brown, 1986; Warren, 2010a). Regardless of the process or approach, however, it is important that school counselors consider consultee factors (i.e., training, culture, and emotional and cognitive characteristics) that may hinder or promote the consultation process (Brown, Pryzwansky, & Shulte, 2011).
In a review of the literature, Warren (2010b) suggested rational-emotive behavior consultation (REBC) was a viable means for addressing thoughts and emotions of teachers. REBC is a model of consultation based on rational-emotive behavior therapy (Ellis, 1962). In REBC, school counselors help identify and challenge irrational beliefs that impede teachers’ classroom performance. An irrational belief is considered a strong, unrealistic cognition that leads to self-destructive emotions and behaviors (Dryden, 2009). In a study conducted by Warren and Dowden (2012), relationships between teachers’ irrational beliefs and emotions were confirmed. REBC was effective in addressing irrational beliefs and promoting healthy emotions (Warren, 2010b, 2013a). Teachers who participated in face-to-face and asynchronous, online group consultation across eight weeks reported more flexible and preferential thought patterns as well as decreases in stress.
In addition to finding relationships between irrational beliefs and emotions, Warren and Dowden (2012) also noted that irrational beliefs and efficacy beliefs were strongly correlated. Efficacy beliefs are “beliefs in one’s capacity to organize and execute the courses of action required to produce given attainments” (Bandura, 1997, p. 3). Due to emerging research on irrational beliefs and efficacy beliefs, Warren and Baker (2013) explored the potential for school counselors to incorporate components of social cognitive theory (SCT; Bandura, 1986) in REBC. This integrated model of consultation uses converging aspects of SCT and REBT to comprehensively conceptualize cognitions and responses of teachers and students.
The present study builds on current literature and research related to school counselor consultation with teachers. Based on the work of Brown and Schulte (1987), Bernard and DiGiuseppe (1994), Warren (2010a, 2010b, 2013a), and Warren and Dowden (2012), rational emotive-social behavior consultation (RE-SBC) was employed in elementary schools via face-to-face and online formats. It was hypothesized that both modes of consultation would reduce the irrational beliefs of teachers. It also was hypothesized that efficacy beliefs would increase as a result of the consultation.
Method
Participants
Teacher participation was solicited during weekly staff meetings at three elementary schools in the southeastern United States. Information, including a recruitment letter about the study, was provided to prospective subjects during staff meetings. Across the three schools, 42 out of 67 teachers agreed to participate in the consultation; thirty-five teachers completed the study titled, Performance Enhancing Strategies and Techniques-Teachers (PEST-T). Thirty-two (91%)of the participants were female and three (9%) were male. The median years of teaching experience for the participants was between a range of six and fifteen.
Consultant
A doctoral candidate in counselor education and supervision provided rational emotive-social behavior consultation (RE-SBC) to both PEST-T treatment groups. The consultant’s work history included school counseling and private practice therapy. The primary theoretical orientation of the consultant was cognitive behavior therapy (CBT). The consultant, and author of this paper, completed primary and advanced practica in Rational Emotive-Cognitive Behavior Therapy at the Albert Ellis Institute in New York.
Study Design
A modified posttest, quasi-experimental design was implemented in this study. Participating teachers were grouped according to their school affiliation. The three groups were randomly assigned to one of three treatment conditions (face-to-face, online, or control). All participants completed a pretest. The posttest measures differed from those of the pretest.
Measures
The Irrational Beliefs Inventory (IBI), developed by Koopmans, Sanderman, Timmerman, and Emmelkamp (1994), was used in a preliminary analysis of the treatment groups. The IBI is a 50-item self-report measure used to assess irrational beliefs. The IBI was designed in an attempt to focus solely on irrational cognition, while isolating the construct from emotions (Bridges & Sanderman, 2002). The irrational beliefs measured on the IBI are consistent with those described in REBT (Ellis, 1962). A five-point Likert-type scale, ranging from “1” (strongly disagree) to “5” (strongly agree) is provided for respondents to demonstrate a level of agreement for each item. A sample item reads, “If I can’t keep something from happening, I don’t worry about it.” The IBI is scored by summing all item responses. Low scores reflect a tendency to think rationally, while high scores indicate a propensity to think irrationally. The IBI includes five factors: worrying, rigidity, need for approval, problem avoidance, and emotional irresponsibility. The internal consistency of the subscales of the IBI for American samples ranges from .69 (emotional irresponsibility) to .79 (worrying). When evaluated, the IBI was found more reliable and valid than other measures of irrational beliefs (DuPlessis, Moller, & Steel, 2004)
The General Self Efficacy Scale (GSES; Schwarzer & Jerusalem, 1995) is a measure of self-efficacy designed for use with general populations, but can be used as a measure for specific samples as well. Statements include “I can always manage to solve difficult problems if I try hard enough” and “I am confident that I could deal efficiently with unexpected events.” The ten self-report items are rated on a 4-point scale ranging from “1” (not at all true) to “4” (exactly true). Higher scores on the GSES indicate a greater sense of agency, or the capacity to act. In most samples, the mean score per GSES item was around 2.9. The internal consistency of the GSES is .86. The validity of this measure is well-documented by studies and related literature (Scholz, Dona, Sud, & Schwarzer, 2002).
The Teachers’ Irrational Beliefs Scale (TIBS; Bernard, 1990) is used to measure irrational beliefs of teachers; its 22 self-report items are scored on a 5-point scale ranging from 1 (strongly disagree) to 5 (strongly agree). High scores on the TIBS suggest rigidity and irrationality. The irrational beliefs measured are consistent with the theory of REBT and include low frustration tolerance, ‘awfulizing,’ demandingness, and global worth/rating. The TIBS evaluates these irrational beliefs across various teaching-related areas. These areas are represented by four subscales: Self-Downing Attitudes, Low-Frustration Tolerance Attitudes, Attitudes to School Organization, and Authoritarian Attitudes Toward Students. These areas account for 41.5% of the variance, which is similar to other scales of irrationality, thus providing evidence for construct validity (Bora, Bernard, Trip, Decsei-Radu, & Chereji, 2009). Internal consistency for the English version of the TIBS ranges from .70–.85 across the subscales and the total scale score; test-rest reliability is .80.
The Teacher Sense of Efficacy Scale (TSES; Tschannen-Moran & Woolfolk Hoy, 2001) is a measure that captures teachers’ perceived efficacy consisting of 24 items rated on a nine-point scale anchored by “1” (Nothing) to “9” (A Great Deal). The TSES includes three subscales; Efficacy in Student Engagement, Efficacy in Instructional Strategies, and Efficacy in Classroom Management. The mean score for the TSES is 7.1. Higher scores on the TSES and its subscales indicate a greater likelihood for perceived control during the completion of teaching-related tasks. Low scores reflect a poor sense of ability to affect student learning. Reliability estimates for the three sub-scales, Engagement (.87), Instruction (.91), Management (.90), and the total scale (.94) of the TSES are high. Scores on the TSES are positively correlated to scores of other existing validated measures of teacher efficacy providing evidence for construct validity (Tschannen-Moran & Woolfolk Hoy, 2001).
Procedure
Participating teachers from one elementary school met face-to-face with the consultant. All participants from another school met asynchronously, online with the consultant. The participants of the remaining school were designated as the control group. The face-to-face group met in weekly seventy-minute consultation sessions, spanning an eight-week period. The online group consultation consisted of five, asynchronous, yet interactive discussion modules, completed across an eight-week period.
Both formats of the group consultation (PEST-T) were derived from a consultation model implemented by Warren (2010a, 2013a). Decreases in irrational beliefs were noted as a result of providing face-to-face and online consultation to teachers based on rational emotive behavior therapy (REBT; Ellis, 1962). Warren, (2010a) also found a negative relationship exists between irrational beliefs and efficacy beliefs. As a result of this finding and the extrapolation of theoretical nuances of SCT (Bandura, 1986) and REBT (Ellis, 1962), suggested by Warren (2010a, 2010b), participants in this study received group rational emotive-social behavioral consultation (RE-SBC).
During the first consultation session, the face-to-face group was presented with concepts including observational learning, efficacy and reciprocal determinism. Irrational beliefs, emotions, self-defeating behaviors and other principles of REBT were explored throughout the remaining group consultation sessions. Cognitive, emotive, and behavioral strategies and techniques for increasing rational thought and efficacy beliefs were provided and demonstrated throughout the consultation (see Ellis & MacLaren, 2005). Case examples and analogies focused on teaching and classroom situations were used to explain the information presented. Interactive discussions, songs, humor and participation in demonstrations were encouraged throughout the consultation.
Throughout the asynchronous, online group consultation, the consultant provided the participants with select, layperson-oriented articles on REBT and SCT. During each session, participants were asked to read articles provided via the discussion module. The discussion modules focused on ways to increase self-efficacy, the ABC model, benefits of living rationally, and how to dispute irrational beliefs. Participants were responsible for commenting on the readings and responding to other participants’ comments. The consultant moderated the discussion modules. Participants could access and complete the discussion modules at their convenience due to the asynchronous format of the group consultation. Participants were required to dedicate approximately 1.25 hours a week to the group consultation, completing the online discussion modules and applying concepts discussed to daily living. At the conclusion of the study, members of the control group received copies of the articles used during online consultation.
Results
Preliminary Analysis
Univariate analyses of variance (ANOVAs) were conducted on scores of the IBI and the GSES compiled from both treatment conditions and the control group. No significant differences were found among the three conditions in terms of irrational beliefs, F(2, 39) = .37, p > .05. Pre-test equivalency also was noted for efficacy beliefs for all conditions F(2, 39) = .48, p > .05. In summation, irrational beliefs and efficacy beliefs held by elementary school teachers in this study were comparable across all groups.
Treatment Efficacy
Means and standard deviations for the face-to-face, on-line and control groups are presented in Table 1. Teachers who received the treatments were expected to respond by maintaining fewer irrational beliefs than the control group. Analysis revealed statistical significance for teachers’ irrational beliefs, F(2, 33) = 8.80, p < .001, which accounted for approximately 35% of the variance among the three groups. Post hoc analyses using Tukey HSD criterion for significance indicated the average level of irrational beliefs was significantly lower in the face-to-face treatment (M = 49.33, SD = 15.57), when compared to the control group (M = 65.95, SD = 9.66). Contrary to the hypothesis, the effect of the on-line treatment on teachers’ irrational beliefs (M = 74.2, SD = 13.41) was not statistically different from the control group.
Table 1
Means and Standard Deviations of Pre-Intervention Measures

Further analyses on the items from the subscales of the TIBS provided additional insight into the effects of the treatments on specific irrational beliefs. Analysis of the three groups indicated statistical significance for self-downing attitudes (SDA), F(2, 35) = 5.97, p = .006. Post hoc comparisons indicated the mean for the face-to-face group (M = 16.89, SD = 4.57) statistically differed from the control group (M = 22.95, SD = 4.49) in terms of SDA. An omnibus ANOVA indicated that means for low frustration tolerance attitudes (LFTA) were not significantly different across groups, although a slight trend toward significance was present, F(2, 33) = 3.13, p = .057. Another analysis indicated statistical significance across groups for attitudes of school organization (ASO), F(2, 33) = 4.78, p =. 015. However, criterion for significance in a Tukey HSD analysis was not met when comparing the mean of the control group (M = 16.95, SD = 2.36) with the mean of either treatment, face-to-face (M = 13.89, SD = 5.95) or online (M = 20.0, SD = 2.74). Group means for authoritarian attitudes toward students (AATS) also were found to be statistically significant when an ANOVA was conducted, F(2, 33) = 6.35, p = .004. Post hoc comparisons using the Tukey HSD analysis indicated the mean scores of the face-to-face treatment (M = 10.78, SD = 3.67) were significantly different from the control group (M = 15.43, SD = 4.07). However, the effect of the online treatment on AATS (M = 17.4, SD = 2.61) was not statistically different from the control group. The effects of the treatments on the participants’ irrational thoughts are presented in Table 2.
Table 2
Means, Standard Deviations, and Group Comparisons on Measures of Teachers’ Specific and General Irrational Beliefs at Posttest

It also was expected that participants receiving the treatments would report higher levels of efficacy than the control group. Results indicated no statistical significance across groups in terms of teacher sense of efficacy (TSE), F(2, 33) = 1.56, p = .225. Additional analyses were conducted on the subscales of the TSES. Analyses measuring the group differences in terms of efficacy in instructional strategies (EIS), F(2, 33) = .29, p = .752, and efficacy in classroom management (ECM), F(2, 33) = .38, p = .685, yielded no significant difference. A statistically significant difference was found on efficacy in student engagement (ESE) when the three groups were compared, F(2, 33) = 4.52, p = .018, accounting for 22% of the variance. A post hoc comparison indicated the mean of the face-to-face treatment (M = 7.03, SD = .74) was not significant in terms of ESE when compared to the control group (M = 7.09, SD = .77). However, the mean of the online group (M = 5.94, SD = .87) was significantly less than the mean of the control group. The effects of the treatments on the participants’ irrational thoughts are presented in Table 3.
Table 3
Means, Standard Deviations, and Group Comparisons on Measure of Specific and General Teacher Efficacy at Posttest

Discussion
The findings of this study contribute to the literature on consultation as an indirect, responsive service school counselors can incorporate in comprehensive programs. In this study, teachers participating in the face-to-face RE-SBC group reported fewer irrational beliefs as compared to the control group. While low frustration tolerance attitudes (LFTA) and attitudes of school organization (ASO) were not statistically different, participants reported significant differences in irrational beliefs related to self-downing attitudes (SDA) and authoritarian attitudes toward students (AATS). The face-to-face RE-SB consultation appeared successful; however, the online consultation was not found to be effective in decreasing teachers’ irrational beliefs. Inconsistent with expectation, the online group consultation appeared to increase irrational beliefs experienced by participants. Therefore, the hypothesis that both modes of consultation would reduce the irrational beliefs of teachers was partially supported.
The apparent impact of the face-to-face RE-SB group consultation on teachers’ irrational beliefs is consistent with previous studies exploring face-to-face REBT group consultation (see Forman & Forman, 1980; Warren, 2010b, 2013a). In each of these studies, group consultation was found to reduce irrational beliefs and promote positive mental health among teachers. In this study, the influence of RE-SB on specific teacher beliefs is particularly noteworthy, given the negative impact of self-downing and authoritarian teaching styles on student success (see Bernard & DiGiuseppe, 1994; Phelan, 2005).
RE-SB face-to-face group consultation did not appear to influence teacher efficacy beliefs. Efficacy beliefs remained relatively unchanged for this consultation group, as compared to the control group. This finding is important to note when considering concurrent lack of change in LFTA among face-to-face group consultation participants. In an explanation of school counselors’ use of cognitive behavioral consultation, Warren and Baker (2013) posited that teacher efficacy beliefs and low frustration tolerance beliefs converge. Teachers with low self-efficacy for engaging students, for example, essentially think student engagement is “too hard” or “unbearable,” signature thoughts of low frustration tolerance. Warren and Dowden (2012) supported this claim in a study exploring the relationships between irrational beliefs and efficacy beliefs of teachers. In short, since low frustration tolerance beliefs were not impacted by the consultation, a lack of change in efficacy beliefs is expected. The findings of this study may further support the relationship between these constructs. However, an alternative explanation for the lack of change in efficacy beliefs and LFTA of teachers participating in the face-to-face group consultation may lie with the presentation of the consultation. It is plausible that the delivery of the consultation, related to these constructs, was slightly flawed. Positive relationships have been noted between teacher efficacy and student achievement (Goddard, Hoy, & Woolfolk Hoy, 2004; Henson, 2001; Pintrich & Schunk, 1996; Ross, 1998). More emphasis on low frustration tolerance and teacher efficacy beliefs may be needed in this consultation model if a goal for school counselors is to indirectly impact student achievement.
Regarding the online group consultation, decreases in efficacy beliefs were found among these participants. The difference in efficacy in student engagement (ESE) was significant for participants in this group as compared to the control group. On-line consultation participants reported decreases in efficacy beliefs. This finding was contrary to the hypotheses that the consultation groups would increase teachers’ efficacy beliefs. Because neither consultation group was deemed to significantly increase efficacy beliefs of teachers, this hypothesis was not supported.
Implications and Recommendations for School Counselor
This study offers promise for school counselors eager to implement responsive services that have the potential to support teachers and effect systemic change. The study is consistent with current literature on school counseling practices suggesting the value of multilevel, responsive interventions that support teachers and students (see ASCA, 2012; Erford, 2011; Lee & Goodnough, 2011). Maximizing the success of students is a crucial role of professional school counselors (Dahir & Stone, 2012; Lapan, Gysbers, & Kayson, 2007). School counselors providing group consultation to teachers systemically influence student success (Parsons & Kahn, 2005). This consultation model, in its face-to-face format, has the potential to offer multilevel support, directly promoting positive mental health of teachers and indirectly influencing the success of students and parents. Teachers who think in rational ways will respond more favorably during encounters with students and parents, thus enhancing the relationship and the potential for educational success.
The findings of this study offer several implications for school counselors. First, school counselors should embrace the consultative role in their comprehensive school counseling programs. This includes intentional demonstrations of leadership, advocacy and collaboration. School counselors must play a leadership role when assessing and conceptualizing the social-emotional needs of teachers and students. Preparing, establishing and implementing systemic services such as group consultation also require leadership (Schmidt, 2014). School counselors providing consultation must possess adequate knowledge of school and classroom settings and how these environments interact with the social-emotional wellness of teachers and students. Advocacy for the success of teachers and students is inherently demonstrated by the leadership displayed when implementing responsive services such as consultation. School counselors should diligently and methodically find productive ways to advocate for students when engaging in RE-SB group consultation with teachers. As suggested by Kampwirth and Powers (2012), school counselors will find consultation with teachers is most effective when a collaborative approach is taken. Collaborating and teaming encourages teachers to be proactive and invest in the goals of the consultation efforts. School counselors can support teachers and students through consultation most readily, and ultimately effect systemic change when demonstrating these necessary roles of comprehensive services.
Next, school counselors will need to have a basic understanding of recent research and assessment procedures in order to determine the overall social-emotional health in their schools. By understanding the social-emotional climate, school counselors can tailor consultation efforts to meet individual and group needs of teachers and students. Based on recent research (Nucci, 2002; Pirtle & Perez, 2003) and data collection at the school level, school counselors may want to target beginning teachers, for example, for participation in RE-SBC. There are several models and approaches of RE-SBC that school counselors can use depending on the needs of the school (Warren & Baker, 2013).
Finally, school counselors must be knowledgeable of and understand how cognitive behavioral theory, specifically REBT, can be applied to the school setting. Some of the core tenets of REBT appear to debunk the typical mindset of teachers and school counselors. For example, teachers usually think that “students should listen and follow directions” or “parents should help their children with homework.” However, these thoughts are desirable, but not mandatory as the word “should” implies. Therefore, teachers may be skeptical, experience cognitive dissonance, or simply reject the content of the trainings altogether. School counselors will need to navigate theoretical concerns carefully, accepting teachers’ positions, yet providing clear alternative perspectives. While advanced training in REBT-CBT may not be required, it is vital that school counselors prepare and equip themselves appropriately for conducting group consultation (Warren, 2013b). Failure to adequately prepare will likely impact the effectiveness of the consultation.
Limitations and Future Research
The current study was limited in several ways. First, based on school affiliation, participants were grouped in either a control, face-to-face or online group. This cluster, convenience sampling may have led to non-equivalent groups. Preliminary analyses were conducted to control for this threat and to determine the level of homogeneity across groups. A two-stage random sample also may have been useful in ensuring randomness and equivalent groups (Ross, 2009).
Second, history is typically a threat to the validity of a study when the design includes only one group (Heppner, Kivlighan, & Wampold, 2008). Aspects of this study may be influenced by history, despite a three-group experimental design. Levels of stress for each group potentially increased toward the conclusion of the consultation due to upcoming end-of-grade testing. If this occurred, the posttest responses may have reflected the influence of the upcoming event, thus negating the true effects of the consultation. It also is important to note other factors that may have influenced the outcomes of this study, such as socio-cultural factors, the mean age of staff members, and the “culture” or “personality” each school assumes as a result of administrative leadership.
Next, experimenter expectancies may have influenced the responses of the participants beyond the effects of the consultation. If this occurred, the scores of the measures may be elevated, implying the training was more effective than it actually was. While the face-to-face group was most vulnerable to this threat due to the format of the consultation, differential attrition (44%) may have influenced the findings of the online group consultation.
Finally, all types of irrational beliefs were decreased, to some degree, for participants of the face-to-face consultation group. Teacher efficacy beliefs were not influenced and remained consistent with mean scores proposed by Tschannen-Moran and Woolfolk Hoy (2001). Due to the size of the sample of the face-to-face group, Type II errors may exist for LFTA and ASO and teacher efficacy beliefs. A significant difference may have existed, although not detected because of the limited number of participants.
Moving forward, this study may lead researchers in several directions. For example, conducting classroom observations or interviews of teachers post-consultation would provide insight into the lasting effects of the training. Ellis (2005) and Dryden (2009) have emphasized that cognitive change occurs most readily when individuals continue to challenge irrational beliefs and practice rational thinking. Replicating this study, while exploring the influence of the addition of homework assignments on irrational beliefs and efficacy beliefs of teachers, would also offer additional insight into the amount of practice required for cognitive change. Additionally, conducting a six-month follow-up may help answer questions related to level of teacher engagement, consultation duration and degree of support needed for teachers to maintain cognitive-behavioral change.
As advancements in technology occur, a redesigned online group RE-SBC model may be warranted. School counselor researchers should explore additional ways to design online RE-SBC models that are supportive and accommodating of teachers. For example, the inclusion of synchronous sessions within an asynchronous online design is worth exploring. Researchers also may want to explore synchronous, online models of consultation using technology such as webinars or three-dimensional, virtual worlds. YouTube, in particular, seems to be a useful online tool for improving online offerings for school counselors and teachers. The Halo Rational Emotive Therapy (2011) video, for example, shows the creative possibilities offered by YouTube. Apps for cell phones and tablet computing devices offer seemingly endless possibilities for convenient, online consultation and collaboration strategies for school counselors. Additionally, a modification of the face-to-face consultation to include online components may be a viable option and worth studying.
Advancements in the preparation of school counselors also may influence and increase the effectiveness of school counselors’ use of technology for RE-SBC. Counselor education programs need to challenge and support graduate students in creative and inventive applications of technology in the practice of school counseling. Gerler’s (1995) early challenge for school counselors to explore the edges of technology, and then later challenges by Hayden, Poynton, and Sabella (2008) for using technology to apply the ASCA National Model offer hope that the preparation of school counselors will improve online and other technological strategies in school counseling, including the use of technology for RE-SB consultation.
School counselor researchers also may want to explore the effects of RE-SB group consultation on various critical school issues. RE-SB group consultation may impact factors that influence student success, including academic achievement, bullying, disciplinary problems, motivation and teacher burnout. Warren and Stewart (2012) also suggested cognitive behavioral approaches to school counselor-teacher consultation may be effective in reducing student dropout rates. Research in these areas will be invaluable as school counselors continue to refine their roles as consultants.
In conclusion, the findings of this study provide direction for school counselors providing consultation. Cognitive behavioral consultation, such as the RE-SBC face-to-face group approach, appears to influence the irrational beliefs of elementary school teachers. Specifically, decreases in self-downing attitudes and authoritarian attitudes toward students were noted. While teacher efficacy beliefs, a predictor of student achievement, were not found, the decrease in irrational beliefs alone is important and potentially a factor in promoting student success. The online group RE-SBC effort was largely ineffective in reducing irrational beliefs or increasing efficacy beliefs. The online model of consultation should be carefully considered before implementation and deemed useless pending a significant redesign. However, both formats of RE-SBC demonstrate leadership, advocacy for the well-being of teachers and students, and collaboration among stakeholders— qualities mandatory for school counselors wishing to effect systemic change. It is hoped that this study will encourage school counselors to become familiar with and implement models of consultation that promote positive mental health of teachers and have the potential to support the educational success of students and parents.
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Jeffrey M. Warren, NCC, is an Assistant Professor at the University of North Carolina at Pembroke. Edwin R. Gerler, Jr. is a Professor at North Carolina State University. Correspondence can be addressed to Jeffrey M. Warren, UNC-Pembroke School of Education, PO Box 1510, Pembroke, NC 28372, jeffrey.warren@uncp.edu.