Oct 17, 2017 | Book Reviews
Dr. Gerard Vernot addresses student behavior as an encompassing issue that many are finding difficult to manage and provides strong solutions that are applicable to all. Helping Students Eliminate Inappropriate School Behavior does not seek to blame but instead inspires readers to push forward by providing realistic activities that are appealing to middle and high school students. This book incorporates many learning styles and needs with consideration of children’s developmental processes. With consideration given to different cultures, the material presented in this book encourages readers to understand their students beyond their behavior in the classroom. This approach shifts the focus of inappropriate behavior from the individual student to a systemic perspective. Dr. Vernot advocates for educators and counselors to recognize the needs of our students and to respond effectively to their needs by engaging and increasing students’ awareness.
Dr. Vernot provides adaptable, evidence-based activities that create foundational structure. The activities included by Dr. Vernot are derived from the literature provide a foundational structure. Each activity provides detailed instructions that set up the structure of the activity, what is needed to make the activity successful, and how the facilitator can process after the activity. Clear directions and examples allow educators and counselors to efficiently and effectively decide the most appropriate activity for a student(s), meeting the demands of facilitators who use this resource on a daily basis. The activities included address a variety of behavioral concerns while helping students gain skills in areas of communication, cooperation, conflict management, and problem-solving techniques. These are crucial tools that we all aim for students to learn while in the academic setting, and these activities can provide additional support to teacher and counselors when structuring each class.
Although Dr. Vernot makes significant contributions by compiling a guidebook to address problematic behaviors, these activities alone will not change the behaviors. Crucial factors, such as familial support, environment, developmental level of the student, and systemic structures of the student’s school and culture, should be considered in addition to the intentional activities provided in the book. These considerations can holistically create the space for students to recognize their behaviors and empower change. Implementation of activities to address behaviors may not have a long-term success without initially understanding the development of the behavior.
The content addressed in this book can appeal to a variety of counseling professionals. Although the specific roles of school counselors, counselor educators, and Licensed Professional Counselors differ, each can find value in implementing the activities provided in their work with children and adolescents. These tools can be used to build foundational trust and rapport that is needed throughout the counseling profession. In addition, the activities suggested in this book can be seen as normal engagement by children and open the space for appropriate interaction with their peers, teachers, or counselors.
Vernot, G. (2016). Helping Students Eliminate Inappropriate School Behavior: A Group Activities’ Guide for Teachers and Counselors. Bloomington, IN: AuthorHouse.
Reviewed by: Jillian M. Blueford, NCC, The University of Tennessee, Knoxville
The Professional Counselor
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Oct 10, 2017 | Volume 7 - Issue 3
Yanhong Liu, Dan Li, Yanqing Xu
Indiscriminate friendliness (IF) is a prominent issue with children adopted from China to the United States. Through a mixed methods design, the authors explored four Chinese adoptees’ experiences of IF within their real-life context, investigated potential factors associated with IF, and examined the IF–attachment relationship. This mixed methods study consisted of a qualitative case study of four children adopted from China and a quantitative investigation into IF using a sample of 92 adoptive parents with Chinese adoptees. The qualitative findings revealed crucial propositions related to children’s IF, and the quantitative results provided further evidence to corroborate the qualitative findings. This study reinforced the stance that IF should be treated as a distinct construct from attachment. Researchers and professional counselors can benefit from the results of this study to better serve Chinese adoptive families.
Keywords: indiscriminate friendliness, children, China, adoptive families, mixed methods
According to intercountry adoption statistics, the United States welcomed 261,728 children across the world from 1999 to 2015 (U.S. Department of State, Bureau of Consular Affairs, 2016). Among these adopted children, 76,026 (approximately 30%) came from China, which made China the largest country of origin for intercountry adoption. A majority of Chinese adoptees were under 3 years old at the time of adoption (U.S. Department of State, 2016). Numerous issues have been detected related to the intercountry adoption process (Kreider & Cohen, 2009; van den Dries, Juffer, van IJzendoorn, & Bakermans-Kranenburg, 2009). A prominent issue is children’s indiscriminate friendliness (IF; Bruce, Tarullo, & Gunnar, 2009; Chisholm, Carter, Ames, & Morison, 1995; van den Dries, Juffer, van IJzendoorn, Bakermans-Kranenburg, & Alink, 2012). IF refers to children’s excessively friendly behaviors toward adults (other than their primary caregivers) without appropriate screening of the adults (Tizard, 1977). IF has been consistently identified in post-institutionalized children (Bruce et al., 2009; Chisholm et al., 1995) and has been viewed as pathological in nature (American Psychiatric Association [APA], 1994, 2013).
Previous research studies have yielded different post-adoption adjustment outcomes in Chinese adoptees compared to domestic adoptees or other internationally adopted children, including optimal behavioral adjustment (Cohen, Lojkasek, Zadeh, Pugliese, & Kiefer, 2008), successful attachment formation (Liu & Hazler, 2015), and positive academic performance (Tan & Marfo, 2006). The distinction between Chinese adoptees and their research counterparts entails a closer look at this population. Investigation into IF in children adopted from China became important, as the majority of them had experienced pre-adoption institutionalization in China. Consistent with earlier findings about post-institutionalized children (Bruce et al., 2009), IF has been identified as a significant issue in children adopted from China and was supported by the only study targeting Chinese adoptees in the United States (van den Dries et al., 2012).
A dearth of knowledge on IF in Chinese adoptees in the United States necessitated an in-depth qualitative investigation into this phenomenon in the adoptees’ real-life context (Yin, 2014). However, a single qualitative study cannot offer a comprehensive view of IF, nor can it thoroughly address all research questions for this study; thus, by adding a quantitative investigation, this study sought to compensate for the inadequacy of the qualitative methodology and allow researchers to triangulate and compare dissonant data between the two research approaches (Plano-Clark, Huddleston-Casas, Churchill, Green, & Garrett, 2008).
Indiscriminate Friendliness (IF)
IF, alternatively termed indiscriminately friendly behavior or indiscriminate overfriendliness, refers to a behavioral tendency for children to seek attention and approval from adults, including strangers (Hodges & Tizard, 1989; Tizard & Hodges, 1978). IF is also referred to as disinhibited attachment behavior or disinhibited social behavior, evidencing post-institutionalized children’s overfriendly behavior toward unfamiliar adult figures (Bruce et al., 2009). IF does not fall into the traditional sense of being friendly, which is associated with a positive human trait; instead, it is deemed behaviorally inappropriate when children actively approach strangers, without a reasonable assessment of whether or not it is safe to do so (Bruce et al., 2009; O’Connor et al., 2003).
Researchers have noted that children’s institutionalization experiences play a significant role in IF development, albeit adopted children are able to form strong attachments with their adoptive parents given adequate time (Chisholm, 1998; Hodges & Tizard, 1989; Tizard & Hodges, 1978). Post-institutionalized children with IF tend to approach, make personal comments to, and initiate physical contact with strangers, and children with a high level of IF are often willing to leave locations with strangers (Bruce et al., 2009). They also allow unfamiliar adults to put them to bed and comfort them when they are hurt (Tizard & Hodges, 1978). A multitude of adoptive parents have had concerns about their children’s safety as a result of their IF behaviors (Bruce et al., 2009).
In Tizard and Hodges’ (1978) follow-up study in the United Kingdom, one third of formerly institutionalized children exhibited excessive attention-seeking behaviors and a tendency to be overfriendly to adults. A few children, from ages 4 to 8, presented indiscriminate affection toward adults. In Bruce et al.’s (2009) sample of internationally adopted children in the United States following institutionalization, 65% displayed IF characteristics. Likewise, in Chisholm’s study (1998), Romanian adoptees in Canada exhibited significantly more IF behaviors than the two comparison groups: (a) Canadian-born, non-adopted, and non-institutionalized children; and (b) early-adopted Romanian children who were adopted before the age of 4 months. In contrast to institutionalization’s role as a risk factor of IF, adoptive parents’ responsive parenting was assumed to be a protective factor for children’s post-adoption behavioral adjustment (van den Dries et al., 2012). Responsive parenting entails a high level of warmth and nurturance in the process of caretaking, including offering timely attendance to children’s needs (Darling & Steinberg, 1993).
Attachment
Theorists have examined the relationship between IF and attachment (Bowlby, 1982; Sabbagh, 1995). For example, Bowlby (1982), defining attachment as a child’s behavior to seek physical proximity to his/her primary caregiver, claimed attachment as a correlate to IF. Attachment, viewed as a social behavior, occurred as a result of certain behavioral systems activated when infants interact with the “environment of evolutionary adaptedness” and the mother figure in the environment (Bowlby, 1969, p. 179). The first two to three years are the most critical period for children to develop relationships with caregivers and to develop the aforementioned behavioral systems (Bowlby, 1969). Given an environment in which evolutionary adaptedness is absent, such as an institutional rearing environment, atypical discriminating attachments may ensue (O’Connor et al., 2003). Although many securely attached children displayed IF behaviors, their unattached counterparts demonstrated a higher likelihood of being overfriendly (Bowlby, 1982).
Evolution of Diagnostic Criteria
In addition to the heated dispute on whether or not IF is related to attachment patterns, the clinical perspective on IF has been evolving. In the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; APA, 1994), IF was termed the disinhibited type (i.e., indiscriminate sociability), as opposed to inhibited type (i.e., social withdrawal), under the Reactive Attachment Disorder diagnostic criteria. Similarly, the International Statistical Classification of Diseases and Related Health Problems (10th rev.; ICD-10; World Health Organization [WHO], 1992) named IF as a disinhibited attachment disorder. Both the DSM-IV and ICD-10 described IF as an abnormal pattern of relatedness that begins before the age of 5 years (APA, 1994; WHO, 1993). Nevertheless, the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; APA, 2013) redefined IF as a disinhibited social engagement disorder, which is a trauma- and stressor-related disorder derived from severe neglect in the first two years of life. Hence, IF was separated from reactive attachment disorder, where it had been categorized.
The mixed findings on potential contributors to IF and the lack of in-depth qualitative input on IF reinforce the need to address IF in children adopted from China, which has rarely been discussed in counseling journals. Prevalence of IF in Chinese adoptees in the United States remains unknown, and no study was found exploring the experiences of children with IF. The purpose of this study was to better understand IF in children adopted from China by U.S. families. The authors conducted a case study on four Chinese adoptees through two in-depth semi-structured interviews with two U.S. adoptive mothers. To ensure the robustness of this study, the authors conducted a follow-up quantitative investigation into IF using a sample of 92 adoptive parents with children adopted from China. This study addressed three research questions—RQ1: How do parents perceive IF in children adopted from China?; RQ2: What are some potential factors that are associated with IF?; and RQ3: Is IF related to children’s attachment? The overarching goal of the current study was to provide an in-depth understanding of Chinese adoptees’ IF in its real-life context, to probe into the potential predictors of IF, and to examine the relationship between IF and attachment.
Method
Participants
Participants for qualitative and quantitative investigations were drawn from U.S. adoptive parents with children adopted from China. Participants for the qualitative case study did not participate in the quantitative stage of investigation. The recruitment of participants represented a parallel relationship between qualitative and quantitative samples (Leech & Onwuegbuzie, 2010), ensuring the comparability of the two data sources. The same datasets have been investigated with different emphases, by one earlier submitted manuscript investigating child-parent attachment (Liu, 2017). The quantitative dataset was also used by another study that followed a hierarchical regression analysis on IF associative factors (Liu & Hazler, in press). Research questions for this study were distinctly independent from previous studies. Participants were recruited based on the following criteria: (a) participants were U.S. citizens who adopted children from China; (b) children adopted by participants were 3 years old or younger at the time of arrival (U.S. Department of State, 2016); and (c) children were younger than 6 years old at the time of data collection (APA, 1994, 2013; WHO, 1992).
Two White mothers, Amy and Tina, were recruited for a qualitative case study from the first author’s network from her previous work with adoptive families. Amy and Tina each adopted two children from China. The case study focused on the four children’s IF behaviors and related experiences. Parents, instead of the children, were selected as the participants, as all of the four children were under 6 years old and had limited ability in comprehending and articulating the phenomenon. Both participants were married and had tried to have biological children. Natural conception was not a possibility, so adoption became the alternative to fulfill the desire for parenthood. Amy was in her late 40s at the time of the interview. Amy had been a stay-at-home mother for her children, Amelia and Beatrice. Tina was around 50 years old at the time of the interview. Tina worked full-time at a research organization, while her husband had been the primary caregiver of their two children, Rebecca and Joshua. The ages of the four children at the time of arrival in the United States were: Amelia, 10 months; Beatrice, 3 years; Rebecca, 11 months; and Joshua, 2 years and 10 months.
Participants for the quantitative investigation consisted of 92 White parents who adopted children from China. Participants ranged from 31 to 59 years old (M = 46; SD = 6.4). Eighty-six (94%) of the participants were adoptive mothers of the children, and six (6%) were adoptive fathers. Sixty-two participants (67%) had two or more Chinese adoptees. A majority of participants (86%) held a bachelor’s degree or higher. More than half (70%) of the participants identified themselves as primary caregivers of the children, and the rest reported as equal caregivers (i.e., the participants and their spouses take an equivalent amount of caregiving responsibilities). Over half of the participants (53%) worked 20 hours or below per week or held no employment, and 47% of the respondents worked more than 20 hours per week. The average age of the children at the time of arrival in the United States was 19 months.
Sampling and Recruitment
Two separate Institutional Review Board approvals, for the qualitative case study and the quantitative investigation, were obtained from the first author’s institution where the study was conducted. The authors used the purposeful sampling method (Teddlie & Yu, 2007) to recruit the case study participants following the aforementioned screening criteria. The first author’s previous encounters with Chinese adoptees and adoptive families evoked her research interests in this population. The first author was transparent about her role as a researcher, distinct from her other roles (i.e., as a previous counselor for the children), when communicating with the participants. Amy and Tina each endorsed an informed consent form prior to their participation in the study. The form detailed the purposes and significance of this study, risk of participation, and confidentiality.
The 92 participants for the quantitative investigation were randomly recruited through adoption networks and professional organizations. The authors contacted all Children from China local chapters across all U.S. states, consisting of families with children adopted from China, and several online adoptive parent organizations. The study was endorsed by several Children from China chapters and one Chinese adoption agency. The study was also shared by administrators of several online organizations, including Chinese Adoptive Families, China Report, and Chinese Adoption. Parents who were interested in participating in the study e-mailed the first author; the first author then checked the eligibility of interested parents and provided a letter detailing the purpose, significance, risks, and confidentiality related to participation into this study. Participants were directed to the selected surveys (under the Instrumentation section) posted on PsychData. Participants of the study represented a wide geographic coverage.
Instrumentation
A semi-structured interview was conducted with Amy and Tina, separately, to understand their children’s IF and to gain a totally fresh perspective toward IF, bracketing researchers’ worldviews (Creswell, 2013). Both interviews were performed by the first author, via phone with Amy, and in person with Tina. Each interview lasted for about one and a half hours. The interviewer asked open-ended interview questions to encourage participants to expand on answers related to IF (Creswell, 2013). The interview included five open-ended questions and allowed participants to expand on any area in which they felt it useful to communicate their understanding and children’s experiences of IF. For example, the interviewer asked: How has IF been demonstrated in your children?; What have you noted in terms of your children’s friendly behaviors?; and what has influenced your children’s behaviors based on your perceptions?
Quantitative data were generated from a self-report questionnaire posted on PsychData, consisting of measures for attachment and IF along with items measuring children’s former institutionalization experiences and parents’ caregiving quality. Attachment was measured by the adapted Attachment Q-Sort (AQS; Chisholm et al., 1995), which was based on the original AQS developed by Waters and Deane (1985). The adapted AQS contained 23 items measured by a 5-point scale, from 1 = very unlike my child to 5 = very like my child. A sample item from the adapted AQS was: “Your child clearly shows a pattern of using you as a base from which to explore, that is, he/she moves out to play, returns, and then moves out to play again.” Scores for the 23 items were summed, leading to a total attachment score. A higher attachment score means that a child was better attached with the respondent. Van IJzendoorn, Vereijken, Bakermans-Kranenburg, & Riksen-Walraven (2004) reported a modest stability of AQS for the first five years of children’s lives. In the Netherlands, Pool, Bijleveld, and Tavecchio (2000) applied the instrument to assess attachment security in 45 children with ages ranging from 2 to 6 years old. Good convergent validity of AQS has been established, with a .50 correlation (r score) between AQS and the Strange Situation Procedure (Vaughn & Waters, 1990). Reliability of the adapted AQS was manifested through Cronbach α coefficients, ranging from .65–.72 (Chisholm et al., 1995) to .77–.80 (Chisholm, 1998). The Cronbach α value for this study was .83.
IF in this study was measured by the frequently used Five-Item Indiscriminately Friendliness Measure (i.e., the 5-item IF measure; Chisholm et al., 1995). The five items represent uncommonly friendly behaviors exhibited by children. The five items measure children’s friendliness level to strangers; whether or not the children were shy/behaved in a strange manner; children’s reactions to newly met adults; children’s willingness to go home with newly met adults; and children’s tendency to wander. Respondents selected 1 = Yes if the child showed the described behavior in the item; if no untypical friendly behavior was detected in the child, a 0 = No was chosen. A higher IF score indicates that the child displayed a higher level of IF behaviors. The Cronbach α coefficients of the measure were .58–.72 in Chisholm (1998) and .78–.81 in Pears, Bruce, Fisher, and Kim (2011). The Cronbach α value of the measure in this study was .58. The internal consistency was relatively low but acceptable based on similar values generated in earlier studies by the same measure (Chisholm, 1998; van den Dries et al., 2012).
In addition to the two existing measures, a demographic survey was included in the quantitative questionnaire, including questions asking children’s ages and institutionalization experiences. Children’s institutionalization experiences were assessed using questions on children’s physical growth statuses when arriving in the United States (i.e., weight), their length of institutionalization, and participants’ perception of the institutional care that their children had received prior to adoption (i.e., 1 = was not in an orphanage; 2 = high quality care; 3 = acceptable quality care; 4 = poor quality care). A higher total institutionalization score implied more positive institutionalization that a child had experienced. Parents’ caregiving quality/responsive parenting was measured by the authoritative parenting subscale of the Parenting Styles and Dimensions Questionnaire (Robinson, Mandleco, Olsen, & Hart, 2001), with a Cronbach α value of .84 for the present study.
Research Design
The current literature on IF indicates the complexity of the phenomenon because of its frequent occurrence in post-institutionalized children and its intertwined relationships with children’s nurturing environments (APA, 1994, 2013). A mixed methods study provides a better understanding of a complex phenomenon than either a single qualitative or quantitative study (Creswell, 2013). Specifically, this study utilized a sequential mixed methods design to explore Chinese adoptees’ IF within their real-life context. It comprised a two-part process, with an initial case study exploring four Chinese adoptees’ experiences of IF and a further quantitative investigation following the propositions generated from the case study. The authors consider a qualitative case study appropriate because a case study is a robust empirical approach investigating a case unit in its real-world context (Yin, 2014). The case unit includes, but is not limited to, an individual, a group, a family, a geographic region, or a particular phenomenon that is worthy of thorough investigation. It is considered an ideal methodology when “how” or “why” research questions are asked (Yin, 2014). The case unit for this study is the four Chinese adoptees’ experiences of IF. Yin (2014) defined a proposition as an essential component within a case study, guiding data collection and analysis to avoid superfluous information. Propositions are generated through literature review and/or experiences of the researchers and/or participants (Yin, 2014). The propositions from the qualitative case study guided the quantitative investigation. Both types of findings were triangulated and integrated in the Results section (Plano-Clark et al., 2008).
Procedures
Trustworthiness. Researcher reflexivity, peer debriefing, and data triangulation ensured the trustworthiness of the qualitative case study (Hunt, 2011). The authors attained researcher reflexivity through examining and suspending personal beliefs (Hunt, 2011). Qualitative data in this study were triangulated through quantitative data (Leech & Onwuegbuzie, 2010). One procedure to ensure the trustworthiness of case study methodology is to incorporate data from multiple sources (Yin, 2014). Data from the two semi-structured interviews served as the primary data source, and memo writing by the first author offered a supplemental data source. Memo writing was a documentation of the researcher’s reflections or reactions while reviewing the raw interview transcripts (Creswell, 2013). The qualitative data were transcribed by the first author and were independently analyzed by the first, second, and third authors. All three authors then thoroughly reviewed each other’s coding and reached a consensus on data categorization. An expert in adoption research served as the external reviewer of the qualitative results to ensure that data interpretations were reasonable.
Data Analysis. The authors followed the recommended data analysis strategy of pattern matching (Yin, 2014). Synthesizing the current literature and information pertaining to participants’ experiences, the research team generated five propositions: (a) children immediately bonded with adoptive parents soon after adoption; (b) children initiated IF behaviors to newly met adults; (c) children responded to affectionate behaviors by newly met adults; (d) age, institutionalization, and adoptive parents’ love/responsive parenting were potentially associated with children’s IF behaviors; and (e) there was no clear conclusion on whether children’s IF was related to their attachment to parents, which warranted a further examination of the IF–attachment relationship.
Each of the authors used the propositions to organize raw data, perform coding and data reduction, and categorize meaningful units (Creswell, 2013). The authors carefully examined all meaning units and performed pattern matching to link the meaningful data units with the propositions (Yin, 2014). Full descriptions were provided on each of the propositions with supportive data from the two in-depth interviews. The researchers analyzed the quantitative data using SPSS Statistics 20. Researchers conducted univariate, bivariate, and multiple regression analyses on the quantitative dataset, examining potential factors associated with IF, as well as the IF–attachment relationship.
Results
Results of this study included both qualitative and quantitative findings in response to the five propositions; both types of findings were triangulated, compared, and integrated into this section. Both datasets shed light on the three research questions. Each proposition was discussed and supported by qualitative data. Quantitative evidence was integrated into this section as a way to corroborate qualitative findings. Consistencies and discrepancies were identified between the two sets of data.
Research Question 1: How do parents perceive IF in children adopted from China?
Participants Amy and Tina reported IF as a prominent issue in all four of the children. The first three propositions were highlighted in the answer to Question 1. Quantitative results were consistent with qualitative findings, both of which are discussed in depth in the following paragraphs.
Children immediately bonded with adoptive parents soon after adoption. Adoptive parents were not considered as a child’s primary caregivers back to the time of adoption because of the brief time they had spent with the child. Adoptive parents, under that circumstance, were categorized as newly met adults. Amy shared that Amelia bonded immediately with her, followed by a successful adjustment. Amy further described that, in the very first night after they adopted Amelia, “she was laughing with us, smiling, giggling, and hugging us.” Tina shared similar patterns from Rebecca, who immediately bonded with her and her husband and presented as happy despite the fresh separation from her orphanage caregivers.
Children initiated IF behaviors to newly met adults. Initiating affectionate behaviors to newly met adults was a significant indicator of IF (Tizard & Hodges, 1978). Amy and Tina shared this pattern as a common concern, with the fear that children were likely to be taken away by strangers. Participants characterized children’s behavior or tendency to show friendliness to strangers as boundary issues. These boundary issues were manifested vividly in Joshua. Tina reflected that Joshua would wander off and approach anybody, even though he was aware of the family’s presence. Tina provided several concrete examples to explain Joshua’s IF behaviors, including his actively seeking proximity specifically to women whom he first met. Tina recalled that Joshua approached a newly met woman at an airport. He also walked up to another woman at the beach, sat down next to the woman, and demonstrated a high level of physical affection toward her (e.g., running his hands through the woman’s hair). Tina added that Joshua was never hesitant to ask for food from strangers and often managed to get snacks from people from his stroller when they were in China.
Children responded to affectionate behaviors by newly met adults. Children’s friendly behaviors also were manifested through their reactions to strangers’ affectionate behaviors. Both participants indicated that although parents were sensitive to children’s initiation of friendly behaviors, children’s reactions to strangers were not given equal attention. It could be a risk factor depending on who the stranger is and the underlying drive that the stranger had in approaching a child. Participants noted that children would accept food from unknown adults. Tina responded that it was common to witness Joshua walking to strangers and returning with food or snacks. Affectionate reactions to strangers happened frequently among the four children at different places. Tina recalled that at a local grocery store, a cashier picked up Joshua and showed him her computer screen, and Joshua responded with excitement and joy, without any sense of reservation. The participants indicated that even though children’s friendly reactions to strangers may not necessarily mean that they were indiscriminately friendly to all adult figures, the unreserved friendliness revealed a sign of social limitation.
In addition to the friendly behavioral patterns, Amy and Tina offered further explanations on the four children’s IF behaviors. The two participants offered three rationales in explaining these behaviors: (a) children’s personalities; (b) their developmental stages; and (c) their desire to have basic needs met. Being an extrovert was linked to children’s friendly behaviors, as Tina expressed that Joshua may be the most extroverted person that she could think of, just based on the fact that he always enjoyed being with people. Both participants defined some of the children’s friendly behaviors as developmentally appropriate. Particularly, expressing a high level of friendliness was not atypical for younger children. In other words, it was reasonable that children under 5 years old consistently exhibited more friendly behaviors than those who were 8 years old or above. Both participants noted that the children mostly regarded themselves as the center of the universe and assumed that others would always be interested to hear everything they had to say. Amy indicated that friendliness may simply serve as a tool for children to have their basic needs met. The friendly tendency was obvious in Beatrice, as whenever she was hungry, she would request food from strangers. Participants did not view this tendency as pathological in speaking of children’s desire to meet their internal drive.
Responses from participants for the quantitative stage echoed the qualitative findings. IF indicators were reinforced by participants’ responses to the 5-item measure. Eighty-five percent of the participants (n = 78) selected 1 for item 1, indicating that their children were friendly (i.e., sometimes or always very friendly) with new adults. Fifty-seven percent of the participants (n = 52) reported the lack of shyness or misbehaving in the presence of strangers. Twenty-five percent of the participants (n = 23) identified 0, meaning “the child has always been shy or behaved in a strange manner,” and approximately 18% (n = 17) indicated that children exhibited a reasonable level of shyness since their arrival in the United States but could not speak to children’s former friendly behaviors back in China.
For item 3, examining children’s behaviors when meeting with new adults, 27% of the participants (n = 25) selected 1, specifying that children always approached new adults, showing toys, speaking or asking questions. About 60% of parents (n = 54) indicated that children would screen new adults (i.e., observing and evaluating) prior to taking actions. The remainder (n = 13; 13%) indicated fears or indifference toward new adults. For item 4, approximately 41% of the participants (n = 38) chose 1, identifying that their children have exhibited some tendency of going home with a newly met adult. With regard to item 5, 23% of the participants (n = 21) reported that their children displayed a tendency to wander, without being subsequently distressed after realizing they were away from their parents.
Research Question 2: What are some potential factors that are associated with IF?
The fourth proposition guiding the qualitative case study was that age, institutionalization, and adoptive parents’ love and responsive parenting were potentially associated with children’s IF behaviors. Amy and Tina asserted that children’s behavioral adjustments were related to children’s ages at the time of arrival in the United States; specifically, younger children demonstrated better behavioral adjustments compared to children adopted at an older age. Comparing the behaviors of Amelia and Beatrice, Amy mentioned that Beatrice, who was adopted at the age of 3, experienced a more challenging time bonding and adjusting in comparison to Amelia, who was adopted at a younger age. Both participants maintained that children adopted at a younger age generally transitioned smoothly and quickly, because children adopted as infants were not old enough to remember their previous experiences, despite the fact that adoption involves separation and loss and itself could be considered as trauma.
The participants connected children’s institutionalization experiences with their later IF behaviors. Children’s IF behaviors were speculated to be a consequence of earlier institutionalization that children had experienced. Amy and Tina viewed IF as one of the institutionalization issues rather than an attachment issue. Amy suggested that children who were previously institutionalized mostly lacked child-parent relationships and failed to form a routine early on in life. It was assessed that something might have happened in children’s brains that made it difficult to learn to interact in later relationships. Tina assumed that Joshua’s IF behaviors represented his life experiences at the orphanage from which he was adopted. She speculated that the overfriendliness had become a pattern in his first three years in the orphanage where he had no clue about whom his next caregiver would be, and a rational way for him to gain attention from others was to be friendly (e.g., giving a hug).
The participants also tied children’s IF behaviors with the news report about suspected child abuse in the orphanage where Joshua was adopted. There was a lack of knowledge and evidence regarding the institutional care that children had received prior to adoption, but the participants held the assumption that children’s weight could be an indicator of the quality of care provided at orphanages, which might be indirectly tied to children’s behaviors of reaching out to strangers for food or other basic needs. All four children’s weight was below the average when adopted, according to the participants. This was the most evident for Joshua, as he weighed only 23 pounds when he was 2 years and 10 months old. His numbers fell off the growth chart for his developmental stage.
Both Amy and Tina highlighted the role of love and responsive parenting as a protective factor of IF behaviors and in counteracting children’s previous institutionalization experiences. In this study, parents’ love and responsive parenting were delivered through understanding of the complexity of IF, accepting the child, and attending to the individual needs of the child. Both participants perceived IF as a concern, yet understood that going through abandonment and institutionalization may have contributed to children’s IF behaviors. Adopting a child meant, according to Amy, not only bringing a child home, but also caring for the child in one’s heart. Strong emotions were provoked when participants recalled children’s atypical experiences compared to their non-adopted peers. The participants reiterated that love should be unconditional to all children, no matter by birth or adoption. Amy firmly believed that whether a child is biological or adopted, it should make no difference in terms of parenting because each child deserves high-quality love. All children should be considered as “our” children, and the love is “our” love.
Separation is what adoptees go through. With strong emotions, Amy highlighted the goodbyes that the adoptees had to say in their lives, all of which apparently were out of their control. Amy elaborated that a child’s life started in the mother’s room for months, and the child was used to the mother’s presence and voice, and then had to tell the mother goodbye. That was the child’s first loss in life. The child was then delivered to the orphanage, labeled as one of many orphans, and taken care of by orphanage staff. Shortly after forming an attachment with orphanage staff and peers (referred to as “crib-mates” by Amy), the child was matched with an adoptive family from overseas and had to say goodbye again. The multiple losses and separations solidified the critical role that adoptive parents may play, so that the child is nurtured in a steady and consistent environment.
Participants believed that showing responsive parenting was vital in helping children work on IF behaviors because changes could not be made on children’s pre-adoption experiences, but could be made on post-adoption caregiving. Tina reinforced that parents should not just take a child away from strangers; a more compelling need for the child was to learn how to act appropriately with strangers. The participants emphasized the importance of selective attending, meaning that parents attend to a child when he/she was in true need (e.g., when a child wanders off without checking in) and ignore behaviors that did not matter to the child’s safety or growth. Participants suggested several techniques for fostering parental attending to children’s needs, including singing children’s tunes, encouraging eye contact, strictly following routines, and offering hugs. These techniques helped instill in the children security and stability.
Age, institutionalization, and love and responsive parenting were included in the quantitative investigation. Bivariate analyses were conducted between each of the variables and IF scores. A higher institutionalization score was significantly correlated with a lower IF score (r = -.24; p < .05); namely, the more positive institutionalization experiences a child had, the fewer IF behaviors the child exhibited (Liu & Hazler, in press). No significant correlations were identified between age and IF (r = -.10; p > .05) or responsive parenting and IF (r = -.04; p > .05). A multiple regression analysis yielded a significant model, with institutionalization as the significant predictor of IF. The results showed that institutionalization explained 9% variance in IF scores (R2 = .09, F (1, 88) = 4.16, p < .05) (Liu & Hazler, in press). Responsive caregiving was nonsignificant in predicting IF.
Research Question 3: Is IF related to children’s attachment?
In answering this question, data were matched with the fifth proposition: there was no clear conclusion on whether children’s IF was related to their attachment to parents, which warrants a further examination of the IF–attachment relationship. Neither qualitative nor quantitative results provided evidence to support a relationship between children’s attachment and IF behaviors. Amy and Tina shared an interesting fact that the children seemed to attach well with them in spite of frequent IF behaviors directed to adults other than the primary caregivers. All four children were reported to form successful attachment with their adoptive parents; in the meantime, they displayed different levels of IF toward strangers. The two participants held the opinion that IF may not necessarily be categorized as an attachment disorder. This was echoed by previous analysis concerning institutionalization, in which parents speculated that IF behaviors might be more appropriately treated as an institutionalization versus attachment issue. Tina disclosed that Joshua’s IF behaviors were described by a clinical practitioner as “nowhere near the attachment disorder.”
A bivariate analysis was conducted between attachment and IF scores using the quantitative data, which yielded a nonsignificant result (r = .12, p > .05). Therefore, no significant correlation was detected between attachment and children’s IF behaviors. A direct interpretation of the quantitative result was that an adoptee’s attachment with adoptive parents was not correlated with the level of the child’s IF. Positive attachment and IF can coexist in a child, which was consistent with the case study findings.
Discussion
This mixed methods study revealed qualitative themes and quantitative evidence in addressing the three research questions. Consistent with previous findings, this study reinforced that IF appears to be a prevalent issue in Chinese adoptees. Children’s IF was demonstrated through quick bonding to new adoptive parents soon after adoption, initiating excessively friendly behaviors to strangers, and responding to strangers’ affectionate behaviors without hesitance. A child’s affectionate behaviors toward adoptive parents were deemed a sign of IF, as the child and adoptive parents did not have previous encounters with each other. Under attachment theory (Bowlby, 1969), a child selectively shows affection to and seeks proximity from the mother or the primary caregiver, and the attachment relationship is based on frequent behavioral exchanges between the child and the mother or primary caregiver (Sroufe & Waters, 1977). Naturally, children’s excessive friendliness to strangers, without the selection process under the attachment theory, is considered atypical behavior.
IF behaviors were described as a manifestation of pathology and either classified as a subtype of attachment disorder under the DSM-IV (APA, 1994) or renamed as disinhibited social engagement disorder in the most recent DSM-5 (APA, 2013). The 5-item IF measure utilized in the study was consistent with the screening questions within the DSM, which concretized the IF through specific behaviors such as wandering off and going home with strangers. Although the items provided a simplified interpretation of IF, qualitative findings revealed multiple layers tied to IF that have not been adequately attended to by researchers and professional practitioners. The DSM-IV and DSM-5 classifications were based on the presumption that IF was an outcome of pathogenic care or maltreatment that children had experienced earlier in life (APA, 1994, 2013).
There has been a lack of investigation into personal factors that may explain children’s IF behaviors. Qualitative findings of this study illuminated the complex nature of IF and directed attention to other alternative criteria, in addition to pathogenic care, including children’s personality types, developmental stage, and drive to meet personal needs. These findings were consistent with Bennett, Espie, Duncan, and Minnis’ (2009) qualitative study that explored IF through children’s lenses. Bennett and colleagues highlighted children’s two internal drives underlying their IF behaviors: seeking love/attention and striving to meet personal needs. A comprehensive literature review by Love, Minnis, and O’Connor (2015) also challenged the pathogenic care criterion within the DSM by proposing several additional factors associated with IF, including genetic differences, inhibitory control, cognitive ability, and post-adoption caregiving.
Children’s former institutionalization experiences were proposed to be a salient factor associated with children’s behaviors (Bruce et al., 2009). The significant role of institutionalization in relation to IF was supported by numerous earlier studies conducted with internationally adopted children (Bruce et al., 2009; van den Dries et al., 2012). IF has been reported as a salient issue with previously institutionalized children in comparison with children raised in their birth families (Chisholm, 1998; Tizard & Hodges, 1978). Findings seem to be unanimously significant across the literature in regards to the association between children’s institutionalized experiences and children’s IF behaviors. The quantitative results of this study echoed previous findings, with institutionalization significantly associated with children’s IF. Qualitative findings also highlighted the role of institutional care as a factor associated with children’s IF behaviors. For example, children who received inadequate care from pre-adoption institutions may appear to be friendlier or seek food and/or attention from adults, as they had to compete with other children in the institution for a limited amount of available resources.
Another variable that revealed inconsistent findings between the qualitative and quantitative datasets was responsive parenting. Quantitative results of this study did not support the significance of caregiving by adoptive parents, which was supported by Zeanah and Smyke (2008), and IF was confirmed not to be associated with post-adoption caregiving quality. Qualitative findings of this study, on the other hand, demonstrated the importance of love and responsive parenting in working with children’s behavioral adjustment. Similar findings can be retrieved from the study by van den Dries et al. (2012), which indicated that children receiving better maternal care after adoption presented less IF behaviors.
The relationship between IF and attachment has been repeatedly investigated in the literature, with two antithetical views: (a) IF is a form/subtype of attachment (APA, 1994; O’Connor et al., 2003); and (b) IF needs to be treated as a unique behavioral issue, separate from attachment (APA, 2013; Lyons-Ruth, Zeanah, & Gleason, 2015). A common theme between the two views is that IF behaviors are developmentally inappropriate. The quantitative results of this study were aligned with the latter view that IF is not significantly correlated with attachment. Qualitative responses from this study were congruent with the quantitative results, as participants indicated that positive attachment and IF behaviors indeed coexist in children. The qualitative findings furthermore challenged the pathological stance that has been historically held about IF, with an alternative explanation that children’s personalities, developmental stages, and internal drives to meet personal needs may be associated with their IF behaviors.
Limitations
This study has three main limitations. The comparatively low Cronbach alpha value of the 5-item IF measure was the first concern, which brought about the question of whether or not the 5-item IF was adequate in measuring IF, although low level of internal consistency is noted to be common in short scales (Streiner, 2003). The second limitation was related to participants and self-report surveys, in which reporter bias and social desirability could confound the results; namely, participants might have chosen to respond to the items based on what they believed to be socially desirable responses. Further, using parents as the only participants is likely to arouse doubt on whether or not parental perceptions of children’s IF behaviors were accurate. The third limitation was related to data saturation. Although sample size is not emphasized in qualitative research, data saturation has been consistently suggested, meaning that data collection should continue until the point that no new information arises. A practical concern is that qualitative results based on the four Chinese adoptees’ experiences may not reach data saturation (Creswell, 2013; Teddlie & Yu, 2007), thus potentially affecting the analytical generalization of qualitative findings. Nevertheless, Teddlie and Yu (2007) offered further justification for the need of representativeness and saturation trade-off sampling in mixed methods research. This sampling technique entails unequal emphases of qualitative and quantitative sampling within a mixed methods study; namely, when quantitative representativeness is emphasized, less emphasis is directed to the qualitative saturation of the study.
Research and Clinical Implications
Results of this study provide crucial implications for future research and practice by professional counselors who work with Chinese adoptees and adoptive parents (e.g., counselors working in school or family settings). Controversies on the categorization of IF (as attachment or other mental health disorders) in the DSM, along with the additional factors proposed by participants, indicate a compelling need to develop a more mature measure for IF, considering a wider range of behaviors beyond the five items. One goal of the new measure is to offer a justification on whether IF truly exists in a child and the severity of the IF tendency. Future research studies should be considered regarding the underlying causes of IF. Researchers should consider involving children in future investigations in order to acquire diverse perspectives on IF and to obtain more generalizable results from the first-person lens.
A clinical implication from this study is that professional counselors working with adoptees and adoptive families need to attend to the complexity of IF. IF behaviors certainly need to be monitored and screened because of the risks associated with the behaviors; however, no quick diagnosis should be reached without adequate evidence on the frequency and magnitude of the behaviors. Practitioners need to reassess the criteria defining pathology—whether or not children’s friendly behaviors are truly indiscriminate and to what extent a friendly behavior should be classified as abnormal (Zeanah & Smyke, 2008). These clinical needs call for practitioners’ familiarity with evidence-based research and more exposure to the target population, IF-related training programs, and a more comprehensive clinical questionnaire asking for further evidence to support children’s IF occurrence and severity.
Conclusion
This study enriched the knowledge of IF through a mixture of qualitative and quantitative findings. Results of this study unveiled Chinese adoptees’ experiences of IF and shed light on factors associated with IF, strengthening the significance of institutionalization as an important factor in children’s IF behaviors. The authors also generated a significant regression model that accounted for 9% of the variance in IF (Liu & Hazler, in press). In alignment with recent research studies (Love et al., 2015; Lyons-Ruth et al., 2015) and the DSM-5, this study provided evidence to support the distinction of IF from attachment. It also introduced alternatives to the pathological perspective toward IF from previous research and diagnostic standards. The results of this study enabled a better understanding of IF and offered research recommendations and critical implications for professional counselors serving adoptive families.
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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Yanhong Liu, NCC, is an assistant professor and the School Counseling Program Coordinator at The University of Toledo. Dan Li is a doctoral candidate in counselor education at the University of Iowa. Yanqing Xu is an assistant professor at The University of Toledo. Correspondence may be addressed to Yanhong Liu, 2801 W. Bancroft St., MS 119, Toledo, OH 43606, yanhong.liu@utoledo.edu.
Sep 27, 2017 | Book Reviews
Recently, Holland and Messer’s Self-Directed Search (SDS) Form R, 5th Edition was revised and published along with associating forms, formats, and materials. In response to these developments, Reardon and Lenz assembled an updated guide for “practitioners seeking to enhance their use of the SDS or (for) our graduate students learning to be career counselors or advisors” (p. iii). The Handbook that resulted contains a trove of content both applicable for practice and theoretically anchored. Notably, the authors detail a novel approach for interpreting the SDS using Holland’s theory in concert with cognitive information processing (CIP). The following review of the spiral-bound, paperback Handbook begins with a summary of its 12 chapters. Then strengths, limitations, and an overall appraisal of the text are provided.
Chapter 1 presents a candid case study of John Holland’s own RIASEC profile scores, placing his theory and the SDS into greater context. “Experienced SDS users will recognize (Holland) as a case of an undifferentiated, elevated profile” (p. 2). Following such insight into Holland’s personality, tenets of RIASEC theory are outlined (Chapters 2 and 3). In doing so, common myths are addressed, such as the misstatement that “RIASEC types are not applicable to persons of different racial and ethnic heritages” (p. 12).
After RIASEC theory, Reardon and Lenz delve into the SDS as an instrument and career intervention (Chapters 4 and 5). Here, SDS components and their applicability are detailed (e.g., Occupations Finder, Educational Opportunities Finder [EOF], You and Your Career [YYC] booklet). Highlighted too is a much needed Veterans and Military Occupations Finder (VMOF). This new instrument “allows users to better understand how the skills and abilities developed in the military relate to civilian occupations with similar requirements” (p. 67).
Chapters 7–9 explain the CIP model for improving SDS interpretability. As the authors assert, “Using all of the interpretive and diagnostic information provided by the SDS within the context of a CIP-based service delivery system can provide most, if not all, of the critical ingredients in effective career interventions” (p. 95). A career decision-making process derived from CIP, called the CASVE cycle, is explained as being especially beneficial. To further illustrate the synergy between CIP and RIASEC, four SDS case studies are reviewed in Chapter 10. Concluding the book is a discussion of career service models at the programmatic level (Chapter 11), and then future trends in SDS application (Chapter 12).
Through explaining SDS administration and interpretation, Reardon and Lenz effectively link RIASEC and CIP theories to practice. This theory-to-practice linkage was achieved with clever decisions to limit “referencing, statistics, and academic detail” to make content more palatable for practitioners and students (Preface, p. iii). According to the authors, “We were also especially mindful that counselors are primarily SAE (Social, Artistic, Enterprising) types” (Preface, p. iii). As a result, the writing style is refreshingly personable and enriching.
Additionally, a myriad of tables, figures, and case studies are presented throughout the book. There are 29 figures, 14 tables, and 13 appendices to help facilitate SDS interpretation. For instance, Table 3.2 describes career interventions for certain Holland types (p. 24). Other examples include a table for SDS indicators and diagnostic signs, and guidelines for using the SDS in conjunction with the CIP approach is found under Appendix J (p. 214).
Though containing numerous strengths, the Handbook lacks content on special populations, especially people with disabilities. Indeed, the authors discuss the SDS Form E (Easy) as an alternative to Form R (Regular) for those with limited reading skills, and an audiotape version (1990) of Form E is said to be available (p. 71). However, discussion of other testing modifications or accommodations for those with different disabilities is absent. Furthermore, the psychometric properties of Form E receive limited attention. While the authors direct readers to studies in the career literature for Form E with special populations, Reardon and Lenz did not detail the findings (p. 71).
In the book, Reardon quotes a former student who, upon learning Holland’s theory of six personality types and environments, asked cheekily, “Is that all there is to it?” (p. 21). The student’s remark reflects a common misperception that Holland’s theory is too simple. However, Reardon and Lenz perfectly illustrate the simplicity and the complexity of this theory that underpins the SDS. As a result, the Handbook will help practitioners (a) glean maximum information from SDS results, (b) gain an understanding of how RIASEC theory and CIP can inform service delivery, and (c) help improve career outcomes for clients.
Reardon, R. C., & Lenz, J. G. (2015). Handbook for using the Self-Directed Search: Integrating RIASEC and CIP theories in practice. Lutz, FL: PAR.
Reviewed by: Matthew McClanahan, East Carolina University
The Professional Counselor
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Sep 11, 2017 | Volume 7 - Issue 3
Shainna Ali, Glenn Lambie, Zachary D. Bloom
The Sexual Orientation Counselor Competency Scale (SOCCS), developed by Bidell in 2005, measures counselors’ levels of skills, awareness, and knowledge in assisting lesbian, gay, or bisexual (LGB) clients. In an effort to gain an increased understanding of the construct validity of the SOCCS, researchers performed an exploratory factor analysis on the SOCCS with a sample of practicing counselors who were members of the Association for Lesbian, Gay, Bisexual, and Transgender Issues in Counseling (ALGBTIC) and counselors-in-training (N = 155) enrolled in four Council for Accreditation of Counseling & Related Educational Programs (CACREP)-accredited counseling programs. The data analyses resulted in a 4-factor model, 28-item assessment that explained 56% of the variance. In acknowledging the loading of the fourth factor, this result highlights the need to focus on involvement and engagement in clinical practice in order to maintain best practice standards. Furthermore, the fourth factor of experience adds a compelling perspective to consider when understanding, improving, and maintaining sexual orientation counselor competence.
Keywords: sexual orientation, counselor competence, exploratory factor analysis, best practice standards, SOCCS
In order for counselors to be ethical and effective professionals, they must be competent in providing services to sexual minority clients (Association for Lesbian, Gay, Bisexual, and Transgender Issues in Counseling [ALGBTIC], 2013). The American Counseling Association’s (ACA) 2014 ACA Code of Ethics requires that counselors honor the uniqueness of clients in embracing their worth, potential, and dignity. Additionally, counselors should actively attempt to understand client identity, refrain from discrimination, and utilize caution when assessing diverse clients (ACA, 2014). Furthermore, the Council for Accreditation of Counseling and Related Educational Programs (CACREP) 2009 Standards for Accreditation assert that counselors should understand identity development, develop self-awareness, promote social justice, and strive to eliminate prejudices, oppression, and discrimination. Therefore, it is both ethical and essential to empirically explore competence assessments in order to improve overall counseling competence.
Sexual minority clients are at risk for a myriad of concerns such as shame, depression, risky behaviors, self-harm, abuse, and suicide (Cooper, 2008; Degges-White & Myers, 2005; Human Rights Campaign, 2014; McDermott, Roen, & Scourfield, 2008). In order to align with the intended population of the Sexual Orientation Counselor Competency Scale (SOCCS; Bidell, 2005), sexual minority clients are defined as individuals who identify as lesbian, gay, or bisexual (LGB). Since the 1970s, researchers have identified the importance of counseling for LGB individuals, as these clients have a higher propensity for suicide and substance abuse as compared to heterosexual populations (Cass, 1983; Cooper, 2008; Degges-White & Myers, 2005; McCarn & Fassinger, 1996; Troiden, 1979, 1989). Furthermore, at the turn of the 21st century, researchers began to note the importance of competence in providing effective counseling services to sexual minority clients (Bidell, 2005; Brooks & Inman, 2013; Graham, Carney, & Kluck, 2012; Grove, 2009; Israel & Selvidge, 2003).
Bidell (2005) developed the SOCCS in an effort to measure counselors’ awareness, skill, and knowledge competencies in assisting LGB clients. Initial research findings supported the criterion, concurrent, and divergent validity, and the internal consistency and test-retest reliability of the SOCCS with the norming population; however, the factor structure (construct validity) of the SOCCS with the norming population was questionable (i.e., 40% of the variance explained by the 29-item SOCCS). Therefore, additional research is warranted to examine the construct validity of the SOCCS with a different sample of counseling professionals, as construct validity provides a central understanding to whether or not the assessment: (a) measures the intended competencies, (b) is adequately explicated by a 3-factor structure, and (c) is best comprised of 29 items (Gall, Gall, & Borg, 2006). Consequently, the purpose of the present study was to examine the factor structure of the SOCCS with a sample of counseling practitioners and counselors-in-training to gain an increased understanding of the construct validity of the SOCCS. The findings of the present study add a new perspective, as the results display a potential 4-factor structure that warrants consideration in the literature.
Sexual Orientation Counselor Competency Scale
The SOCCS (Bidell, 2005) is a 29-item instrument designed to measure counselors’ level of competence in working with clients identifying as LGB. The SOCCS was developed based on the LGB-affirmative counseling and multicultural counseling competencies (Sue, Arredondo, & McDavis, 1992) and included an item pool of 100 items that was reduced to 42 items with 12 items pertaining to skills, 12 items to awareness, and 18 items to knowledge. Bidell (2005) examined the factor structure of the SOCCS using exploratory factor analysis (EFA) with a principal axis factoring (PAF) and an oblique rotation, identifying a 3-factor structure: (a) Factor 1: Skills (11 items, 24.91% of the variance explained), which assesses counseling skills in working with LGB clients; (b) Factor 2: Awareness (10 items; 9.66% of the variance explained), which measures counselors’ awareness of biases and attitudes about LGB individuals; and (c) Factor 3: Knowledge (8 items, 5.41% of the variance explained), which assesses counselors’ understanding about the LGB population.
Factor Analysis
Bidell (2005) also examined the criterion, convergent, and divergent validity of the SOCCS with his sample. Criterion validity of the SOCCS was examined using participants’ education level and self-identified sexual orientation. A positive relationship was identified between the participants’ SOCCS subscale scores and their level of education and sexual orientation. Convergent validity was examined by measuring the relationship between SOCCS subscale scores and participants’ Attitudes Toward Lesbians and Gay Men Scale (Herek, 1998), the knowledge subscale of the Multicultural Counseling Knowledge and Awareness Scale (Ponterotto et al., 1996), and the skills subscale of the Counselor Self-Efficacy Scale (Melchert, Hays, Wiljanen, & Kolocek, 1996). The results of the correlational analyses supported the convergent validity of the SOCCS. Discriminant validity was examined by comparing the mean social desirability scores with the SOCCS subscale scores, and results supported the divergent validity of the SOCCS within the norming sample.
Norming Population of the SOCCS
The norming population for the SOCCS (Bidell, 2005) consisted of 312 mental health students, providers, and educators from across the United States. The majority of the sample was comprised of females (n = 235) and the average age was 31.9 years old. Individuals were recruited from 13 public and three private universities. More than 80% of the population included students: (a) 47 were undergraduates from an undergraduate introduction to counseling course, (b) 154 were master’s- level students in school or community counseling programs accredited by CACREP, (c) 32 were doctoral students from a CACREP-accredited counselor education program, and (d) 30 were from university internship sites approved by the American Psychological Association. The non-student portion of the population was comprised of 49 doctoral-level counselor education supervisors. A majority of the population (85.5%) identified as heterosexual, 12.2% identified as LGB, and 2.5% chose to not identify. Bidell (2005) noted the limited gender variance in the development of the SOCCS, as it is possible that individuals within the 2.5% may identify on the gender continuum. More than half of the norm group (n = 191) identified as European American or White, 41 as Latino, 32 as Asian American, 22 as African American or Black, seven as biracial or mixed, and four as Native American. Fourteen individuals identified as “other,” and this may have been because of rigid racial denominations provided in the demographics.
Interpretation of the SOCCS
The SOCCS (Bidell, 2005) is a criterion-referenced measure consisting of rating scales. The SOCCS provides respondents with a range of seven choices to self-report on the three subscale domains (Skills, Awareness, and Knowledge): from (a) not at all true, to (b) moderately true, and to (c) totally true. Eleven of the 29 SOCCS items (2, 10, 11, 15, 17, 21, 22, 23, 27, 28, and 29) are reverse scored, and overall competence is interpreted by the sum of the items divided by the total number of items (29) to form a percentage score. Bidell (2005) does not provide information on criteria to determine low, moderate, or high competence; however, inferences can be made from interpreting the overall and subscale scores (Farmer, Welfare, & Burge, 2013).
The overall mean SOCCS (Bidell, 2005) score in the norm group was 4.64 (SD = 0.89). Subscale mean SOCCS scores included 2.94 (SD = 1.53) for Skills, 6.49 (SD = 0.79) for Awareness, and 4.66 (SD = 1.05) for Knowledge. Graham, Carney, and Kluck (2012) sampled 234 counseling students and found mean SOCCS averages for competence were 3.88 for Factor 1: Skills, 6.52 for Factor 2: Awareness, 4.67 for Factor 3: Knowledge, and 5.01 for overall SOCCS scores. Follow-up studies continue to support the original theme in which individuals believe they are more aware but less knowledgeable; furthermore, individuals believe they have less skills than knowledge pertaining to sexual minority counselor competencies (Bidell, 2012; Farmer et al., 2013; Grove, 2009; Rutter, Estrada, Ferguson, & Diggs, 2008).
In addition, Graham and colleagues (2012) also assessed for potential differences in SOCCS scores between individuals who have or have not attended a conference presentation, workshop, or training pertaining to LGB issues. No difference in SOCCS scores was identified between participants reporting that they attended a conference presentation with subject matter pertaining to LGB counseling or not; however, individuals who attended a workshop had higher competency scores in Skills, F (1, 225) = 61.03, p < .001; Awareness, F (1, 225) = 4.42, p < .05; and Knowledge, F (1, 225) = 4.34, p < .05. Additionally, individuals who attended a training session had higher scores in the domains of Skills, F (1, 225) = 32.07, p < .001; Awareness, F (1, 225) = 33.62, p < .001; and Knowledge, F (1, 225) = 33.62, p < .001; and when compared to individuals who did not attend similar trainings. Furthermore, more experience with LGB clients yielded higher competency scores. A Tukey’s post hoc analysis identified that individuals who had never provided counseling services to LGB clients had lower SOCCS scores (M = 4.43, SD = 0.72) than individuals who had provided services to one to five LGB clients (M = 4.99, SD = 0.66), six to 10 LGB clients (M = 5.57, SD = 0.55), 11 to 15 LGB clients (M = 5.59, SD = 0.57), or more than 15 LGB-identified clients (M = 5.78, SD = 0.50). Therefore, the differences in SOCCS scores suggest that more exposure and experience with LGB clients could improve sexual minority counseling competence.
Factor Analysis of the Original Instrument
The SOCCS (Bidell, 2005) coefficient alpha for internal consistency reliability was found to be .90. The subscale scores for internal consistency were .91 for Skills, .88 for Awareness, and .71 for Knowledge. A subsection of the sample (n = 101) including students and supervisors was used for test-retest reliability. One-week test-retest reliability was found to be .84 for the overall instrument, .83 for the Skills subscale, .85 for the Awareness subscale, and .84 for the Knowledge subscale (Bidell, 2005). In addition, Bidell (2013) investigated the potential for SOCCS scores to change after implementation of an LGB counseling course six weeks into the program, and identified that the participants’ scores were significantly higher on the overall and subscale scores. Bidell’s (2013) findings identified the ability for education to promote SOCCS scores in counseling students but challenged the test-retest reliability of the SOCCS. No published data was identified related to the inter-rater reliability or alternate forms of the SOCCS.
Additional Factor Analysis of the SOCCS
Carlson, McGeorge, and Toomey (2013) examined the factor structure of the SOCCS with a sample of 248 master’s and doctoral students in couple and family therapy and identified a 2-factor solution: (a) Factor 1: Awareness and (b) Factor 2: Knowledge and Skills. Further, three SOCCS items (i.e., 5, 24, 25) did not load into the combined Knowledge and Skills subscale and were removed. The second examination resulted in an acceptable model fit x2 (df = 8) = 20.65, p < .01; however, it should be noted that five SOCCS item stems (i.e., 3, 4, 7, 8, 19) were altered and the 7-point scale was adapted to a 6-point scale. Therefore, based on the modifications made to the SOCCS, it is difficult to compare the factor structure results to other investigations using the unmodified SOCCS.
Counseling Competency With Sexual Minority Clients
Researchers have utilized the SOCCS in an effort to further their understanding of counseling competencies related to working with sexual minority clients (Brooks & Inman, 2013; Graham et al., 2012; Grove, 2009). Grove (2009) provided counseling students (n = 56) with the SOCCS, and an ANOVA identified that years in training provided a significant difference in scores for Skills (p = .002), Awareness (p = .05), and Knowledge (p = .001). Although analyses were not conducted to determine the differences between subscales, Grove noted high scores in the Awareness subscale. Although individuals have strong, affirmative attitudes, they may lack the knowledge and subsequent skills necessary to effectively aid LGB clients. These SOCCS scores may be interpreted to show a variety of concerns such as inflated confidence, potential lack of training, and low competency. Graham and colleagues (2012) utilized the SOCCS with counselor education and counseling psychology graduate students (n = 234) and yielded similar results to Grove. Participants scored highest on the Awareness subscale, followed by the Knowledge and Skills subscale scores. These research findings identify that counselor trainees may not be receiving the necessary knowledge and skills to become competent counselors in working with sexual minority clients.
Advances have been made in the counseling field regarding the understanding of competency in aiding sexual minority clients (Bidell, 2005; Graham et al., 2012; Grove, 2009); however, additional research is warranted. The commonly utilized SOCCS is a self-report measure; therefore, there is potential for participants to provide socially desirable answers. Further, because the SOCCS was created to measure counselors’ level of confidence (self-efficacy) in providing counseling services to LGB clients, the literature has followed this narrow lead (Bidell, 2013; Carlson et al., 2013; Grove, 2009) . The SOCCS was created prior to ALGBTIC’s (2013) guidelines; therefore, the items may not align with the essential aspects of the guidelines. Considering this potential gap, it is essential to explore the psychometric properties of the SOCCS (Bidell, 2005). Nevertheless, the SOCCS is the most used assessment instrument for examining LGB counselor competence in training and research; hence, it is important to explore the reliability and validity of the instrument in order to support continued exploration of LGB counselor competence. Therefore, we aimed to examine the factor structure of the SOCCS with a sample of counselor trainees and practitioners in order to gain an increased understanding of the psychometric properties of this assessment. The following research questions guided our investigation:
Research Question 1. What is the factor structure of the SOCCS with a sample of practicing counselors and counselors-in-training?
Research Question 2. What is the internal consistency reliability of the SOCCS with a sample of practicing counselors and counselors-in-training?
Method
Participants
We aimed to examine the factor structure of the SOCCS with a sample of practicing counselors and counselors-in-training. The data used for this investigation were part of a larger study regarding counselors’ preparedness to assist clients in the coming-out process. Because online surveys tend to have a lower response rate (Shih & Fan, 2009), we decided to use additional intentional data collection methods in our sampling to achieve a sample of counselors-in-training and practicing professionals. The data collection assessments were distributed through ALGBTIC in order to acquire a national sample of counseling professionals and to include individuals who may perceive themselves as competent to work with sexual minority individuals. In addition, the data collection assessments were distributed to counselors-in-training enrolled in four CACREP-accredited counseling programs in four different southeastern states with the assumption that the student population would help to cover the domain of individuals who do not believe they are competent to assist sexual minority clients in counseling. We received a total of 200 responses, which gave us a response rate of 28.41%. However, because of missing data, 45 participants were eliminated, leaving 155 (22.02%) usable cases. Although the response rate was less than the weighted average Van Horn, Green, and Martinussen (2009) noted in their meta-analysis of counseling and clinical psychology journals (49.6%), we decided our response rate was adequate to continue because of the necessity of research on the factor structure of the SOCCS and the potential value of the implications on improving counseling services for sexual minority clients. Additionally, the demographics of the sample mirrored the overall population (i.e., a majority of the participants identified as white and female), which is presented in Table 1 (U.S. Census Bureau, 2016).
Procedure
Our university’s institutional review board approved this study prior to any data collection and recruitment. We implemented the Tailor Design Method (Dillman, Smyth, & Christian, 2009) in our recruitment and data collection (e.g., invitation, survey). We utilized Qualtrics, an electronic survey research tool, to assemble our informed consent, data collection instruments, and demographic questionnaire online. Qualtrics permitted us to collect anonymous data. After data collection, Statistical Package for the Social Sciences (Windows Version 20) was used for data cleaning and analysis.
Data Screening
Before we analyzed our data, we screened our dataset. First, we needed to remove responses with at least one incomplete item from the overall data set to promote consistency (Warner, 2013). Listwise deletion resulted in the removal of 45 cases, resulting in 155 completed data collection packets for the investigation. SOCCS item scores were converted to standardized z-scores to determine if outliers
Table 1
Participants’ Demographic Characteristics
Characteristic n Total Percent
Gender
Female 121 82.9
Male 24 16.4
Ethnic Background
African American/African/Black 14 9.7
Asian/Asian American 6 3.9
Biracial/Multiracial 9 5.8
Caucasian (Non-Hispanic) 105 67.7
Hispanic/Latina/Latino 7 4.5
Other 2 1.3
Chose not to specify 2 1.3
Sexual Orientation
Bisexual 8 5.2
Gay 5 3.2
Heterosexual 71 45.8
Lesbian 7 4.5
Other 3 1.9
Professional Status
Student 102 61.5
Clinician 43 33.3
CACREP Status
Accredited 73 46.8
Not Accredited 20 12.8
Age
21–25 70 45.2
26–30 27 17.4
31–35 16 10.3
36–40 13 8.4
41–45 4 2.6
46–50 7 4.5
51–55 1 .6
56–60 6 3.9
61–65 1 .6
Note. N = 155
existed in the data, and the results identified that no scores were greater than +4 or less than -4; therefore, no outliers were identified (Hair, Black, Babin, Anderson, & Tatham, 2010). Next, we examined the appropriateness of the sample size to conducting an EFA. Smaller sample sizes are suitable for EFA if several solutions have high loading variables (above .80; Tabachnick & Fidell, 2013). In addition, rather than sample size, the ratio of assessment items to participant may be used to determine appropriateness of data for EFA (Dimitrov, 2012; Nunnally, 1978; Tabachnick & Fidell, 2013), with a five participant cases-to-item ratio deemed acceptable. Because there were more than five cases per SOCCS item (5.34:1), we determined this sample size was appropriate for EFA. Our next step was to examine the normality of the data and determine the most appropriate method of extraction. To assess for normality of our data, we checked the univariate normality of each SOCCS item, and if item univariate normality was satisfied, we checked multivariate normality using the Mardia test (Mvududu & Sink, 2013). We identified several SOCCS items that were not normally distributed; therefore, multivariate normality was not examined because univariate normality is a necessary condition of multivariate normality (Mvududu & Sink, 2013). In addition, our histograms, boxplots, and Q-Q Plots results identified that multiple SOCCS items were non-normally distributed; hence, we assumed the data was non-normally distributed, which can occur in social science research (Mvududu & Sink, 2013).
Data Analysis
After screening the dataset for missing data and assessing for normality, we conducted an EFA to examine the factor structure of the SOCCS with our sample of counseling practitioners and counselors-in-training. Because of the non-normality of the data (Costello & Osborne, 2005), PAF was used for extraction with an oblimin rotation with Kaiser Normalization. A significant value (p < .001) was identified for Bartlett’s test of sphericity (Bartlett, 1954), and a value of .83 was obtained for Kaiser-Meyer-Olkin sampling adequacy for the SOCCS. Next, we examined internal consistency reliability of SOCCS using Cronbach’s α, thus assessing the degree of correlation between SOCCS items.
Results
To examine the factor structure of SOCCS, we used EFA, employing PAF analysis. All SOCCS items displayed a factor loading of at least .3 and were initially retained (Floyd & Widaman, 1995; Hair et al., 2010). However, SOCCS items were reduced following classical test theory in order to reduce items with poor measurement properties and to increase internal consistency reliability (Crocker & Algina, 2006; DeVellis, 2003). As noted in Table 2, The PAF results identified the presence of six SOCCS factors with eigenvalues exceeding one, explaining 62% of the variance. However, the first three factors produced eigenvalues of greater than 2.8, whereas the remaining three were all less than 1.5. The three factors accounted for 49% of the variance. As noted in Figure 1, the scree plot, a preferred method for identifying factor solutions in EFA (Hair et al., 2010), identified a steep decline including three factors, a break near the fourth factor, and a significant plateau at the fifth factor, supporting a 3- or 4-factor model solution for the SOCCS with these data. The factor matrix showed loadings of more than .4 for the first three factors, and less than .4 for the fourth through sixth factors. The first three SOCCS factors paralleled Bidell’s conceptually based factors of Skills, Awareness, and Knowledge. In the essence of EFA, we examined the potential construct being measured by the fourth factor and determined that all items (i.e., 4, 7, 8, 12 and 18) pertained to experience. Originally, these SOCCS items were included in the Skills subscale; however, we determined that the presence of these items together shows promise for a fourth SOCCS subscale of Experience. The model with four subscales accounted for 54% of the variance.
The Knowledge subscale was the only subscale that loaded as intended with eight items, accounting for 9.90% of variance as compared to 5.41% of variance in the original analysis (Bidell, 2005). Six SOCCS items loaded onto the Skills subscale, accounting for 27.5% of the variance as compared to 24.91% of variance in the original analysis. The remaining five SOCCS items that did not load onto the Skills subscale loaded together onto the fourth subscale, which is the Experience subscale. The Experience subscale accounted for 5.11% of the variance. Five SOCCS items loaded onto
the Awareness subscale. Of the remaining items, three loaded onto both fifth and sixth factors (i.e., 11, 15, and 17). Unlike the Awareness subscale, which was theoretically justified, a fifth factor was not theoretically justified; therefore, we decided to keep these three items with the Awareness subscale.
| Table 2Total Variance Explained |
| Factor |
Initial Eigenvalues
|
Extraction Sums of
Squared Loadings
|
Rotation Sums of Squared Loadings a
|
|
Total
|
% of Variance
|
Cumulative %
|
Total
|
% of Variance
|
Cumulative %
|
Total
|
| 1 |
7.705
|
26.568
|
26.568
|
7.344
|
25.311
|
25.311
|
5.422
|
| 2 |
3.722
|
12.834
|
39.402
|
3.263
|
11.250
|
36.561
|
3.520
|
| 3 |
2.828
|
9.750
|
49.152
|
2.365
|
8.155
|
44.717
|
3.982
|
| 4 |
1.442
|
4.972
|
54.124
|
1.005
|
3.464
|
48.181
|
5.050
|
| 5 |
1.195
|
4.121
|
58.245
|
.710
|
2.447
|
50.628
|
2.362
|
| 6 |
1.088
|
3.752
|
61.996
|
.601
|
2.072
|
52.699
|
1.440
|
| 7 |
.992
|
3.419
|
65.416
|
|
|
|
|
| 8 |
.929
|
3.204
|
68.619
|
|
|
|
|
| 9 |
.898
|
3.097
|
71.716
|
|
|
|
|
| 10 |
.827
|
2.850
|
74.566
|
|
|
|
|
| 11 |
.745
|
2.568
|
77.134
|
|
|
|
|
| 12 |
.705
|
2.431
|
79.565
|
|
|
|
|
| 13 |
.666
|
2.298
|
81.863
|
|
|
|
|
| 14 |
.583
|
2.012
|
83.874
|
|
|
|
|
| 15 |
.540
|
1.861
|
85.735
|
|
|
|
|
| 16 |
.523
|
1.804
|
87.539
|
|
|
|
|
| 17 |
.474
|
1.634
|
89.173
|
|
|
|
|
| 18 |
.445
|
1.535
|
90.709
|
|
|
|
|
| 19 |
.399
|
1.377
|
92.085
|
|
|
|
|
| 20 |
.381
|
1.313
|
93.399
|
|
|
|
|
| 21 |
.341
|
1.174
|
94.573
|
|
|
|
|
| 22 |
.299
|
1.031
|
95.604
|
|
|
|
|
| 23 |
.276
|
.953
|
96.557
|
|
|
|
|
| 24 |
.257
|
.887
|
97.444
|
|
|
|
|
| 25 |
.226
|
.781
|
98.224
|
|
|
|
|
| 26 |
.194
|
.670
|
98.895
|
|
|
|
|
| 27 |
.137
|
.472
|
99.366
|
|
|
|
|
|
| 28 |
.126
|
.434
|
99.800
|
|
|
|
|
|
| 29 |
.058
|
.200
|
100.000
|
|
|
|
|
|
| Note: Extraction Method: Principal Axis Factoring. |
a. When factors are correlated, sums of squared loadings cannot be added to obtain a total variance.
Figure 1.
Eigenvalues from 28-item SOCCS Factor Analysis
Because SOCCS items 10 and 23 only loaded onto factors five and six and no other factor, we decided to remove these items for parsimony. Therefore, the Awareness subscale now has eight items, accounting for 13% of the variance. Further information on factor loadings can be seen in Table 3.
Internal Consistency Reliability of the SOCCS
The second research question examined the internal consistency reliability of the SOCCS with a sample of counselors-in-training and practicing counselors. The original 29-item SOCCS displayed a strong reliability score with a Cronbach’s α of .90 (Leech, Onwuegbuzie, & O’Connor, 2011). As a 27-item assessment, the Cronbach’s α for the overall SOCCS was .894; although slightly lower than the original assessment, the reliability of the revised SOCCS displays strong internal consistency (Leech et al., 2011). Original SOCCS subscale reliability scores were .91 for Skills, .88 for Awareness, and .76 for Knowledge. Our item analysis of the SOCCS data identified strong internal consistency reliability with a Cronbach’s α of (a) Total SOCCS scores .893, (b) SOCCS Knowledge subscale scores .807, (c) SOCCS Skills subscale scores .877, (d) SOCCS Awareness subscale scores .814, and (e) SOCCS Experience subscale scores .872 (Ponterotto & Ruckdeschel, 2007).
Table 3
Factor Loadings for a 4-Factor Solution
| SOCCS Item |
|
|
|
|
|
1
|
2
|
3
|
4
|
| I have received adequate clinical training and supervision to counsel lesbian, gay, and bisexual (LGB) clients. |
.742
|
.255
|
.216
|
.356
|
| I check up on my LGB counseling skills by monitoring my functioning/competency—via consultation, supervision, and continuing education. |
.618
|
.214
|
.365
|
.418
|
| I feel competent to assess the mental health needs of a person who is LGB in a therapeutic setting. |
.925
|
.224
|
.369
|
.588
|
| I have done a counseling role-play as either the client or counselor involving an LGB issue. |
.513
|
.138
|
.317
|
.470
|
| Currently, I do not have the skills or training to do a case presentation or consultation if my client were LGB. |
.673
|
.326
|
.185
|
.533
|
| The lifestyle of an LGB client is unnatural or immoral. |
.173
|
.896
|
-.120
|
.133
|
| I believe that being highly discreet about their sexual orientation is a trait that LGB clients should work toward. |
.132
|
.207
|
.083
|
-.088
|
| I believe that LGB couples don’t need special rights (domestic partner benefits, or the right to marry) because that would undermine normal and traditional family values. |
.171
|
.426
|
.089
|
.127
|
| It would be best if my clients viewed a heterosexual lifestyle as ideal. |
.090
|
.393
|
-.020
|
.109
|
| I think that my clients should accept some degree of conformity to traditional sexual values. |
.102
|
.343
|
.004
|
.040
|
| I believe that LGB clients will benefit most from counseling with a heterosexual counselor who endorses conventional values and norms. |
.050
|
.200
|
.080
|
.163
|
| Personally, I think homosexuality is a mental disorder or a sin and can be treated through counseling or spiritual help. |
.328
|
.618
|
.046
|
.096
|
| I believe that all LGB clients must be discreet about their sexual orientation around children. |
.115
|
.506
|
-.040
|
.010
|
| When it comes to homosexuality, I agree with the statement: “You should love the sinner but hate or condemn the sin.” |
.289
|
.894
|
-.091
|
.180
|
| LGB clients receive less preferred forms of counseling treatment than heterosexual clients. |
.090
|
-.118
|
.584
|
.038
|
| I am aware some research indicates that LGB clients are more likely to be diagnosed with mental illnesses than are heterosexual clients. |
.468
|
.064
|
.581
|
.334
|
| Heterosexist and prejudicial concepts have permeated the mental health professions. |
.300
|
.129
|
.787
|
.202
|
| There are different psychological/social issues impacting gay men versus lesbian women. |
.098
|
-.093
|
.482
|
.202
|
| I am aware of institutional barriers that may inhibit LGB people from using mental health services. |
.524
|
.171
|
.684
|
.334
|
| I am aware that counselors frequently impose their values concerning sexuality upon LGB clients. |
.394
|
-.023
|
.758
|
.195
|
| Being born a heterosexual person in this society carries with it certain advantages. |
.216
|
.040
|
.636
|
.112
|
| I feel that sexual orientation differences between counselor and client may serve as an initial barrier to effective counseling of LGB individuals. |
.038
|
-.220
|
.482
|
-.055
|
| At this point in my professional development, I feel competent, skilled, and qualified to counsel LGB clients. |
.904
|
.310
|
.301
|
.659
|
| I have experience counseling lesbian or gay couples. |
.440
|
.169
|
.147
|
.720
|
| I have experience counseling lesbian clients. |
.494
|
.178
|
.199
|
.847
|
| I have been to in-services, conference sessions, or workshops which focused on LGB issues (in Counseling, Psychology, Mental Health). |
.397
|
.261
|
.192
|
.540
|
| I have experience counseling bisexual (male or female) clients. |
.479
|
.181
|
.179
|
.891
|
Discussion
The purpose of this research was to explore the factor structure and reliability of the SOCCS with a sample of counselor trainees and practitioners in the United States. Our results identified a 4-factor SOCCS model, including the subscales of Skills, Awareness, Knowledge, and Experience. The 4-factor SOCCS structure identified with these substantiate the three previous factors of Skills, Awareness, and Knowledge; however, an additional factor is noted. The fourth factor, Experience, echoes Graham and colleagues’ (2012) findings, which note improved competence with practice. Hence, the results of this study should encourage researchers to explore beyond the 3-factor model and promote measurement versatility with counselor trainees and clinicians. Overall, our results identified a 4-factor SOCCS model with strong internal consistency, offering counselor educators and practitioners a sound method for assessing sexual orientation counselor competence.
Implications for Counselors and Counselor Educators
Counselor competency with sexual minority clients is essential in counselor education (ACA, 2014; ALGBTIC, 2013; CACREP, 2009). Our findings support the use of the SOCCS as a valid and reliable measure of sexual orientation counselor competency. Therefore, we suggest that the SOCCS may be implemented in counselor training programs to assess trainees’ levels of competency in providing services to sexual minority clients. Our results identified that in addition to the previously suggested areas of importance in sexual orientation counselor competence (i.e., Skills, Awareness, Knowledge), experience may be an important factor to consider. Counselor educators may consider methods of facilitating experiences within training in order to foster increases in competence. Further, the SOCCS may be used as a pedagogical intervention strategy in counselor education programs. For example, the SOCCS may be given to students to prompt reflection on overall and subscale competence levels regarding counseling sexual minority clients. The SOCCS may also be used beyond counselor education programs to assure that practicing counselors not only have, but also maintain necessary components of competence in order to aid sexual minority clients. Additionally, the results of our study help to further sexual minority counselor competence literature. The SOCCS (Bidell, 2005) is an effective measure for researchers to employ to examine counselors’ self-perceived levels of competence in working with LGB clients; however, the SOCCS also offers educators and practitioners a tool to support best practices in counseling and counselor education. Our SOCCS data yielded a potential fourth factor (i.e., Experience) that was not delineated as an essential component of counselors’ competence in working with LGB clients in prior research. Therefore, this study prompts researchers, counselor educators, and counselors to consider the factor of counselors’ experience in providing services to LGB clients as a necessary domain of counselor competence.
Recommendations for Future Research
The SOCCS is an effective instrument in assessing sexual orientation counselor competence. At this time, there is no indication of cutoff scores that determine appropriate levels of counselor competence (e.g., counselor is competent or not competent to provide services to sexual minority clients). Hence, we recommend that future researchers investigate levels of competence that should be assessed as benchmarks for counselors-in-training prior to graduating from their graduate programs. To our knowledge, other than the SOCCS creator (Bidell, 2005), Carlson and colleagues (2013) are the only researchers to explore the factor structure of the SOCCS. However, Carlson and colleagues altered SOCCS item stems (i.e., 3, 4, 7, 8, and 19) in their investigation and transformed the 7-point scale to a 6-point scale. Their results displayed a 2-factor model that differs from the 3-factor model recommended by Bidell (2005); however, the amendments to the instrument make the SOCCS results difficult to compare to other studies. Further, to our knowledge, we are the only researchers to explore the factor structure of the SOCCS without altering the instrument prior to exploration. Moreover, our 4-factor SOCCS model results accounted for a larger percent of variance (56%) than the original 3-factor SOCCS model (40%; Bidell, 2005). We recommend that future researchers conduct confirmatory factor analyses with their data to determine if the four factors found in our results are consistent with other samples and populations.
Limitations
We recognize that our study has limitations. The SOCCS is a self-report instrument, making the data vulnerable to social desirability bias (Gall et al., 2006). Our response rate may have contributed to our sampling and data collection methods (e.g., online survey), influencing the external validity of our findings. Because of recruitment from ALGBTIC, it is possible that there may have been bias, as members of this group may not have competence levels that are equivalent to the general counseling population. Additionally, because of an error in the original Qualtrics survey, complete SOCCS answers were not required, thus causing issues in missing data. Furthermore, our sample size was limited, affecting the interpretation of our findings. Nevertheless, our study examined an area warranting further investigation (counselors-in-training’s and counselors’ competency in providing service to sexual minority clients) and offered meaningful findings (e.g., a 4-factor SOCCS model).
Conclusion
The social climate for sexual minorities is changing, and it is imperative for counselors to be competent to serve this population. Because of constant societal change, it is important for measures to be relevant in order to measure sexual minority counselor competence. The SOCCS (Bidell, 2005) is the most current and related instrument to measure sexual minority counselor competence. It fulfills an area of need in counselor training and development. This study provides helpful data to expand on the reliability and validity data of this useful assessment.
Moreover, the findings from the study present the case for a potential fourth subscale of Experience to be considered in addition to Skills, Awareness, and Knowledge. The existence of an additional factor pertaining to involvement and engagement in practice holds considerable implications for counselor training and effective practice with LGB clients.
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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Shainna Ali, NCC, is an instructor at the University of Central Florida. Glenn Lambie is a professor at the University of Central Florida. Zachary D. Bloom is an assistant professor at Northeastern Illinois University. Correspondence can be addressed to Shainna Ali, 4000 Central Florida Blvd., Orlando, FL 32816, Shainna.ali@ucf.edu.
Aug 27, 2017 | Volume 7 - Issue 3
Carrie Sanders, Laura E. Welfare, Steve Culver
Students in K–12 schools benefit from career counseling as a means to improve their readiness for academic and career success. This quantitative study explored the career counseling self-efficacy of 143 practicing middle school counselors using the Career Counseling Self-Efficacy Scale-Modified and a subscale of the School Counselor Self-Efficacy Scale. Although school counselors were confident overall, evidence of specific areas of concern and limited time for career counseling was found. Results related to the importance of prior teaching experience in relation to career counseling self-efficacy also were highlighted. Implications for school counselors and policymakers include examining the amount of time school counselors spend on providing career counseling in comparison to time spent on non-counseling–related duties.
Keywords: career counseling, middle schools, school counselors, self-efficacy, time
All students in K–12 do not have the same exposure to career opportunities. Providing avenues for students to learn about and identify ways to access a variety of careers is the responsibility of counselors in the school setting. School counselors contribute to students’ development in the domains of academic, career, and social and emotional development through comprehensive school counseling programs (American School Counselor Association [ASCA], 2014). ASCA published ASCA Mindsets and Behaviors for Student Success: K–12 College and Career Readiness Standards for Every Student (2014), which offers a framework of desired mindsets and behaviors for college and career readiness. This resource and others highlight the importance of a school counselor’s work in the career domain. However, school counselors’ knowledge and self-efficacy in the career counseling field may impact their ability to be effective in this aspect of their work (O’Brien, Heppner, Flores, & Bikos, 1997; Perrone, Perrone, Chan, & Thomas, 2000). This quantitative study explored the career counseling self-efficacy of practicing middle school counselors. As students move through elementary and secondary school, they continuously learn valuable knowledge and skills to explore postsecondary options and prepare to enter into the world of work. Middle school is an important time in this continuum for students as they consider their future academic and career plans and identify pathways to achieve their goals. The results of this study, as well as results related to the amount of time middle school counselors spend providing career counseling, yielded valuable implications for school counselors, K–12 stakeholders, and counselor educators.
The Importance of Career Counseling
Students begin to develop career awareness in elementary school, explore careers during middle school, and move into career preparation and planning in high school. Career counseling connects the experiences students have in school to their future, which enhances academic motivation and provides meaning to and purpose for the work they are doing in school (Curry, Belser, & Binns, 2013; Scheel & Gonzalez, 2007). As children and adolescents learn about themselves and the world of work, they are more likely to make informed career decisions, value school, succeed academically, and engage in school offerings (Kenny, Blustein, Haase, Jackson, & Perry, 2006; Orthner, Jones-Sanpei, Akos, & Rose, 2013; Perry, Liu, & Pabian, 2010).
Career counseling is needed in middle school in order to inspire young adolescents to make preliminary career decisions, to prepare them to take desired high school classes, and to equip them for future career pathways (Akos, 2004; Osborn & Reardon, 2006). Curriculum that integrates postsecondary college and career options in middle school has the potential to provide support and motivation for students (Curry et al., 2013). This type of curriculum connects directly to the comprehensive school counseling program. In schools with fully implemented comprehensive counseling programs that include career counseling, students self-reported higher grades, perceived they are better prepared for the future, recognized the relevance of school, and experienced a sense of belonging and safety, more so than in schools with less comprehensive school counseling programs (Lapan, Gysbers, & Petroski, 2001; Lapan, Gysbers, & Sun, 1997). In summary, establishing connections between a student’s academic preparation and possible career options benefits students in various ways, and school counselors are essential guides in the career exploration process.
Career Counseling in Schools
Despite this empirical evidence of its importance (Anctil, Smith, Schenck, & Dahir, 2012; Barker & Satcher, 2000; Osborn & Baggerly, 2004), school counselors can face barriers to implementing career counseling, including limited time because of competing demands, negative perceptions about career counseling, and low school counselor self-efficacy. For example, school counselors are often called upon to perform non-counseling tasks that take time away from providing a comprehensive school counseling program. School counselors desire to be engaged in promoting positive student outcomes and would prefer to spend less time on non-counseling–related activities (Orthner et al., 2013; Scarborough & Culbreth, 2008). There is some evidence that the desire to spend more time on counseling applies directly to career counseling, as found in a study of school counselors at all levels (Osborn & Baggerly, 2004). But, other studies have found that some school counselors are uncertain about the importance of career counseling (Perrone et al., 2000). These findings may indicate that although there is a desire to spend more time providing career counseling, there is uncertainty about its value.
Another potential barrier that is a focus of this study is individual school counselor self-efficacy. Self-efficacy, a core construct in this study, centers on the belief one has in his or her ability to perform a task (Bandura, 1986, 1997; Eccles & Wigfield, 2002). Self-efficacy of school counselors would be defined as beliefs about their abilities to provide effective counseling services (Larson & Daniels, 1998). High self-efficacy among school counselors would promote adaptive delivery of school counseling services to meet the needs of diverse student populations (Bodenhorn & Skaggs, 2005; Larson & Daniels, 1998). Social cognitive career theory (Lent & Brown, 2006; Lent, Brown, & Hackett, 2000) offers a framework for understanding self-efficacy in action—that is, how it impacts the interactions between individuals, their behaviors, and their environments. O’Brien and Heppner (1996) explored social cognitive career theory as it applies to interest, engagement, and performance of career counseling.
The interaction between people, their behavior, and their environment provides a highly dynamic relationship. Performance in educational activities is the result of ability, self-efficacy beliefs, outcome expectations, and established goals. School counselors have varied training experiences and personal self-efficacy beliefs that impact the delivery of a career counseling program. A school counselor’s self-efficacy in career counseling can increase through four primary sources: personal performance, vicarious learning, social persuasion, and physiological and affective states (Bandura, 1997). School counselor self-efficacy may be influenced by many things such as graduate training, service learning, internships, professional development, and years of experience (Barbee, Scherer, & Combs, 2003; Lent, Hill, & Hoffman, 2003; O’Brien et al., 1997). Teaching is a related experience that may impact career counseling self-efficacy. Some authors have highlighted prior teaching experience as helpful in the preparation of school counselors; others have not found such evidence (Baker, 1994; Peterson & Deuschle, 2006; Smith, Crutchfield, & Culbreth, 2001). Skills school counselors use to provide classroom guidance, which is one delivery method for career counseling services, are similar skills to those used by effective teachers (Akos, Cockman, & Strickland, 2007; Bringman & Lee, 2008; Peterson & Deuschle, 2006), so it is reasonable to expect that school counselors without teaching experience may be less comfortable managing a classroom of students than those with teaching experience (Geltner & Clark, 2005; Peterson & Deuschle, 2006).
There are two studies that have explored self-efficacy of school counselors with and without prior teaching experience. Scoles (2011) compared self-efficacy of 129 school counselors serving across all grade levels and did not find a statistically significant difference between those with and without teaching experience. In contrast, Bodenhorn and Skaggs (2005) found that respondents with teaching experience (n = 183) reported significantly stronger self-efficacy than those without teaching experience (n = 42). These conflicting findings about the importance of prior teaching experience suggest that further study is warranted.
Purpose for the Study
Given the importance of beginning career exploration early and the essential role school counselors play in that process, this study focused on career counseling in the middle school setting. Understanding practicing school counselors’ self-efficacy and their time spent providing career counseling will help administrators and policymakers better understand ways to increase career counseling in middle schools. As such, the following research questions were posed: (1) What are middle school counselors’ levels of self-efficacy in career counseling? (2) How does middle school counselor self-efficacy in career counseling vary with previous K–12 teaching experience? and (3) What is the relationship between middle school counselor self-efficacy in career counseling and the amount of time spent providing career counseling?
Method
A quantitative research design was used for this study. The researcher examined school counselor self-efficacy in the career counseling domain. A school counselor was invited to participate if he or she was a current middle school (sixth, seventh, or eighth grade) counselor in Virginia at the time of the study and his or her email information was provided on a district or school website. The electronic survey included three instruments: an information questionnaire that was used to collect data about personal experiences and training, the Career Counseling Self-Efficacy Scale-Modified (CCSES-Modified; O’Brien et al., 1997), and a subscale of the School Counselor Self-Efficacy Scale (SCSE-Subscale; Bodenhorn & Skaggs, 2005).
Descriptive statistics were compiled by computing means, standard deviations, and minimum and maximum scores for total career counseling self-efficacy, as identified by both the CCSES-Modified and the SCSE-Subscale independently. Means and standard deviations of the 25 items of the CCSES-Modified and the seven items of the SCSE-Subscale also were calculated.
Two analyses of variance (ANOVA) and a t-test were used to determine if there were statistically significant differences among means. Participants were given the opportunity to report their years of counseling experience both full- and part-time, and the researcher combined these to get a total number. This number was obtained by taking the total reported number of years as a full-time school counselor and adding that to .5 multiplied by the reported number of years as a part-time school counselor. Then, the researcher created discrete levels to represent groups of experience once the data had been collected in order to conduct the analysis. Identifying the range of experience of the sample and using a scale appropriate for the sample determined the discrete levels. These three levels represented those who had the least experience, those in the middle, and those with the most experience as a school counselor. The researcher conducted an ANOVA with these groups and the SCSE-Subscale mean and a separate ANOVA with the identified groups and the CCSES-Modified mean.
The researcher obtained an answer of “yes” or “no” to indicate previous teaching experience. A separate value was given to answers of “yes” and “no” and the values were used to run a t-test with the mean for the SCSE-Subscale and the CCSES-Modified mean.
Participants indicated the total number of hours of conference presentations, workshops, or trainings that focused primarily on career counseling within the last 3 years. First, the researcher identified the range of the number of hours of training participants reported receiving in career counseling within the last 3 years. Then, the researcher created discrete levels to represent groups of recent training once the data was collected in order to conduct the analysis.
The third research question required a correlation to analyze the relationship between school counselor self-efficacy in career counseling and the amount of time (measured in percent) spent providing career counseling.
Participants
The participants for this study were practicing middle school counselors, defined as counselors working in a school housing students in grades 6 through 8 at the time the survey was completed. The data cleaning procedures described below resulted in 143 participants out of 567 invitations, which is a 25% response rate. Of the 143 participants, 23 (16.1%) were male and 117 (81.8%) were female (three participants omitted this item). Regarding race, 110 participants (76.9%) identified as White/Caucasian, 20 (14.0%) as African American, four (2.8%) as Hispanic/Latino, and one (0.7%) as Multiracial, while five (3.5%) preferred not to answer and three participants omitted this item. Participants’ ages ranged from 25 to over 65 years with an average age of 45 years (SD = 11; respondents who reported being 65 and over were coded as 65).
Regarding training, the participants reported their highest level of education: 125 participants (87.4%) reported having a master’s degree as their highest level of education, 11 (7.7%) had an education specialist degree, six (4.2%) reported having a doctoral degree, and one participant omitted this item. Participants reported a mean of 13.3 years (SD = 7.4) of experience providing school counseling. Regarding full-time teaching experience in a K–12 school, 47 (32.9%) participants had experience, while 94 (65.7%) did not have this experience, and two people omitted this item.
Instruments
The 49-item online survey included 17 items to gather demographic and professional information, the 25-item CCSES-Modified (O’Brien et al., 1997), and seven items from the Career and Academic Development subscale of the SCSE (Bodenhorn & Skaggs, 2005).
Career Counseling Self-Efficacy Scale-Modified. The CCSES-Modified (O’Brien et al., 1997) was used to assess overall career counseling self-efficacy. Participants were asked to indicate their level of confidence in their ability to provide career counseling. For this study, the terms “client” and “career client” were replaced with the term “student” to be more congruent with school counselor terminology. Permission was granted from the first author of the scale to the researcher to make these changes (K. O’Brien, personal communication, January 7, 2013). The CCSES-Modified contains 25 items that are rated on a 5-point Likert-type scale (0 = Not Confident, 4 = Highly Confident). Within the CCSES-Modified, there are four subscales: Therapeutic Process and Alliance Skills, Vocational Assessment and Interpretation Skills, Multicultural Competency Skills, and Current Trends in the
World of Work, Ethics, and Career Research. The full scale has a reported internal consistency reliability coefficient of .96 (O’Brien et al., 1997).
School Counselor Self-Efficacy Scale-Subscale. One subscale from the SCSE (Bodenhorn & Skaggs, 2005) was included in this study. The SCSE Career and Academic Development subscale was designed for school counselors to examine self-efficacy in the career domain. Using a 5-point Likert-type scale (1 = Not Confident, 5 = Highly Confident), participants indicated their level of confidence on each of the seven items. Bodenhorn and Skaggs (2005) reported a subscale internal consistency reliability coefficient of .85.
Indices of Reliability in the Present Study
The internal consistency reliability in this sample for the CCSES-Modified was α = 0.941 and the SCSE-Subscale was α = 0.871. The CCSES-Modified had four subscales: Therapeutic Process and Alliance Skills (10 items, α = 0.820), Vocational Assessment and Interpretation skills (6 items, α = 0.855), Multicultural Competency Skills (6 items, α = 0.913), and Current Trends in the World of Work, Ethics, and Career Research (3 items, α = 0.747). All of these exceed the common threshold for reliability for similar measures. The CCSES-Modified total score and the SCSE-Subscale score had a strong positive 2-tailed Pearson correlation (0.792), which was statistically significant at the 0.01 level. This strong positive relationship suggests these two measures captured related information from the participants.
Procedure
The original sampling frame consisted of 576 middle school counselors with publicly available email addresses, which were collected from public school websites in all counties in Virginia. After Institutional Review Board approval was secured, participants were sent an email invitation with the informed consent and link to the web survey. One week later, participants were sent a reminder email. Upon completion of the survey, participants were given the opportunity to vote for one of five organizations to receive a $100 donation as a token of appreciation for their time completing the survey. After the recruitment email was sent, there were nine people who indicated they were not eligible to participate. These included three individuals who sent a return email indicating that they were out of the office during the survey administration, three who were not currently middle school counselors, two who reported needing school division approval, and one person who had difficulty accessing the survey. This reduced the actual sampling frame to 567.
Data Cleaning
One hundred and sixty-one respondents answered the survey items. There were 18 respondents who omitted 15% or more of the items from the CCSES-Modified or the SCSE-Subscale and were therefore removed from the study. This changed the total number of remaining respondents to 143. Of the 143 remaining, there were eight respondents who each omitted one item that was used to measure career counseling self-efficacy on the CCSES-Modified or the SCSE-Subscale. Each omitted item was replaced with the individual’s scale mean (e.g., mean imputation; Montiel-Overall, 2006), and those respondents were included in the analyses. When the omitted item was part of an analysis for Research Question 2 or 3, the respondent was removed from the affected analysis. Omissions on the demographic questionnaire are noted above in the description of the participants.
Results
RQ1: What are school counselors’ levels of self-efficacy in career counseling?
Overall, middle school counselors who participated in this study were moderately confident, confident, or highly confident in their ability to provide career counseling services. According to the CCSES-Modified, counselors felt least confident in the subscales of Multicultural Competency Skills and Current Trends in the World of Work, Ethics, and Career Research, while they reported the most confidence in their Therapeutic Process and Alliance Skills. Specific areas of school counselor self-efficacy deficits were related to special issues present for lesbian, gay, and bisexual students in the workplace and in career decision-making, as well as special issues related to gender and ethnicity in the workplace and in career decision-making. Table 1 provides descriptive statistics and reliability for each subscale and the total scale.
| Table 1 Career Counseling Self-Efficacy Scale-Modified Subscale Scores (N = 143) |
| Subscales |
Min
|
Max
|
M
|
SD
|
α
|
Item M
|
Item SD
|
| Therapeutic Process andAlliance Skills(10 items) |
21
|
40
|
35.24
|
4.05
|
0.82
|
3.52
|
0.40
|
| Vocational Assessment andInterpretation Skills(6 items) |
5
|
24
|
18.08
|
4.21
|
0.86
|
3.01
|
0.70
|
| Multicultural Competency Skills(6 items) |
0
|
24
|
16.52
|
4.79
|
0.91
|
2.75
|
0.80
|
| Current Trends in the World of Work,Ethics, and Career Research(3 items) |
3
|
12
|
8.09
|
2.44
|
0.75
|
2.69
|
0.81
|
| Total ScaleTotal Instrument Score (25 items) |
32
|
99
|
77.94
|
13.60
|
0.94
|
3.12
|
0.54
|
Note. 1 = Not Confident and 4 = Highly Confident.
The means and standard deviations for the SCSE-Subscale are listed in Table 2. On average, participants were confident or highly confident in their abilities to attend to student career and academic development.
| Table 2 |
| School Counselor Self-Efficacy Scale-Subscale Individual Item Responses (N = 143) |
|
% Response
|
|
1
|
2
|
3
|
4
|
5
|
M
|
SD
|
1. Implement a program which enables all students to make
informed career decisions. |
1
|
3
|
20
|
34
|
43
|
4.16
|
.89
|
2. Deliver age-appropriate programs through which students
acquire the skills needed to investigate the world of work. |
—
|
2
|
18
|
34
|
46
|
4.24
|
.81
|
3. Foster understanding of the relationship between learning
and work. |
—
|
0
|
9
|
40
|
51
|
4.42
|
.65
|
4. Teach students to apply problem-solving skills toward
their academic, personal, and career success. |
—
|
1
|
8
|
36
|
55
|
4.45
|
.69
|
5. Teach students how to apply time and task management
skills. |
—
|
2
|
6
|
35
|
57
|
4.46
|
.71
|
6. Offer appropriate explanations to students, parents, and
teachers of how learning styles affect school performance. |
—
|
2
|
15
|
39
|
44
|
4.24
|
.79
|
7. Use technology designed to support student successes and
progress through the educational system. |
—
|
6
|
22
|
44
|
29
|
3.96
|
.86
|
| Total Subscale Score |
|
|
|
|
|
29.93
|
4.08
|
|
|
|
|
|
|
|
|
|
Note. 1 = Not Confident, 3 = Moderately Confident, 5 = Highly Confident.
RQ2: How does school counselor self-efficacy in career counseling vary with previous K–12 teaching experience?
Two t-tests were conducted to identify if there was a difference between career counseling self-efficacy among participants with and without previous experience as a teacher. Separate means and standard deviations were calculated for the two groups—those who had teaching experience (n = 47) scored higher on the CCSES-Modified (M = 82.2, SD = 9.7) and the SCSE-Subscale (M = 30.9, SD = 3.4) than those without teaching experience (n = 94), CCSES-Modified (M = 75.8, SD = 14.7) and SCSE-Subscale (M = 29.4, SD = 4.3).
Independent t-tests were performed to determine if the differences between the groups were statistically significant. For the CCSES-Modified, the assumption of homogeneous variances was not satisfied (Levene’s test, F = 7.13, p < .05); therefore, the more conservative t-test was used to assess for a statistically significant difference (t = -3.06, p = .003). The mean score for the teaching experience group (M = 82.2, SD = 9.7) was statistically higher than the mean score for those without teaching experience (M = 75.8, SD = 14.7). For the SCSE-Subscale, the assumption of homogeneous variances was satisfied (Levene’s test, F = 3.71, p = .055, d = .51). The mean score of the group with teaching experience (M = 30.9, SD = 3.4, d = .39) was statistically different from the mean score of the group without teaching experience (M = 29.4, SD = 4.3), t = -2.03, p = .045. Cohen’s d is a valuable index of effect size for statistically significant mean differences (Cohen, 1988). The Cohen’s d of .51 for the CCSES-Modified and .39 for SCSE-Subscale both represent medium effect sizes.
RQ3: What is the relationship between middle school counselor self-efficacy in career counseling and the amount of time spent providing career counseling?
The third research question required a correlation to analyze the relationship between school counselor self-efficacy in career counseling and the percent of work time spent providing career counseling. Participants reported the percentage of time they spend providing responsive services to students in the three school counseling domains, as well as testing coordination and other non-counseling–related activities, which is represented in Table 3. The averages and standard deviations of the percentage of time spent in each subscale were: personal/social counseling (M = 36.25, SD = 15.39), academic counseling (M = 23.32, SD = 10.47), career counseling (M = 12.15, SD = 6.98), Virginia State Standards of Learning (SOL) testing coordination (M = 11.83, SD = 12.88), and other non-counseling–related activities (M = 16.44, SD = 12.55). One participant omitted this item; therefore, N = 142 in Table 3. There was no statistically significant relationship between the CCSES-Modified and time providing career counseling (r = .160, p = .057) and a statistically significant weak positive relationship (r = .286, p = .001) between the SCSE-Subscale and time providing career counseling.
| Table 3 Self-Efficacy and Time Providing Career Counseling |
|
% Career Counseling
|
| Career Counseling Self-Efficacy Scale-Modified |
Pearson Correlation |
.160
|
| Sig. (2-tailed) |
.057
|
| N |
142
|
| School Counselor Self-Efficacy Scale-Subscale |
Pearson Correlation |
.286*
|
| Sig. (2-tailed) |
.001
|
| N |
142
|
Note. *Correlation is significant at the 0.01 level (2-tailed)
Discussion
There were several key findings from this study of middle school counselors’ self-efficacy with career counseling. First, it is important to note that there was a wide range in the total self-efficacy scores for middle school counselors. As a group, these counselors were the most confident in their Therapeutic Process and Alliance Skills, and least confident in Multicultural Competency Skills and Current Trends in the World of Work, Ethics, and Career Research. Specifically, special issues related to gender, ethnicity, and sexual orientation in career decision-making and in the workplace were areas of concern. School counselors who had previous K–12 teaching experience were significantly more confident providing career counseling than those without, as assessed by both measures. Finally, a Pearson correlation indicated there was a weak positive correlation between the SCSE-Subscale and the percentage of time school counselors indicated they spend providing career counseling. There was not a statistically significant relationship between the CCSES-Modified and time spent providing career counseling.
In this study, results indicate that middle school counselors spend more time doing non-counseling–related activities than providing career counseling, which is alarming. Career development is one of the three primary domains of a comprehensive school counseling program, and it is important for school counselors to create career development opportunities for students. The majority of school counselors report the importance of career counseling; however, middle school counselors acknowledge they spend less time on career counseling than they prefer (Osborn & Baggerly, 2004). There is a need to reprioritize career counseling, which includes recognizing and acknowledging how career counseling intersects with academic and personal and social counseling in K–12 schools (Anctil et al., 2012).
Career counseling is valuable and evidence needs to be provided to indicate how non-counseling–related tasks take time away from school counselors’ ability to offer adequate career counseling for students. Test coordination is time-consuming and an example of a non-counseling duty that some school counselors perform. Considering the amount of time this role requires, school counselors would find more time to provide career counseling services for students without this obligation. School counselors should gather evidence and provide accountability reports about how career counseling efforts contribute to student engagement and success.
Implications for School Counselors, K–12 Stakeholders, and Counselor Educators
In general, the practicing school counselors in this study had ample self-efficacy with regard to providing career counseling. However, there were certain items on the CCSES-Modified and the SCSE-Subscale that reveal discrepancies in middle school counselors’ levels of confidence. Counselors felt least confident in the subscales of Multicultural Competency Skills and Current Trends in the World of Work, Ethics, and Career Research. Specifically, they reported lower self-efficacy addressing special issues related to gender, ethnicity, and sexual orientation in relation to the world of work. In light of these findings, counselor preparation programs need to further investigate what is being taught in career counseling courses, how the content is being delivered, possible gaps in curriculum, and opportunities for outreach to current school counselors through continuing education. Given the powerful movement for advocacy related to these important social issues, it is in some ways confirming that the practicing counselors in this study felt less confident in these areas. Perhaps the national attention on issues of privilege and oppression related to gender, ethnicity, and sexual orientation has shed light on individual or systemic challenges these school counselors face as they try to serve diverse young adolescents in a dynamic phase of their development.
There are opportunities to increase career counseling self-efficacy related to gender, ethnicity, and sexual orientation in relation to the world of work. Bandura (1997) highlighted personal performance, vicarious learning, and social persuasion as particularly effective strategies for increasing self-efficacy. Continuing education, supervision, and professional organization engagement may be the best opportunities for continued development in these areas (Tang et al., 2004). In-service training and continuing education could be offered to provide school counselors relevant information to support their professional development and promote an increase in career counseling self-efficacy. Gaining up-to-date knowledge about the experiences of students with varied gender identities, ethnicities, and sexual orientations will best prepare school counselors to serve the entire student body. Observing advocacy approaches modeled by other leaders may inspire school counselors to use their voices in their own systems. Relatedly, this finding makes it apparent that K–12 school systems need clear and powerful policies and leadership around gender-, ethnicity-, and sexual orientation-related issues. School counselors are well positioned to partner with principals and superintendents in this important change process.
The second research question provided additional information about a somewhat contentious issue in previous research. School counselors who had teaching experience had higher career counseling self-efficacy than those who did not have teaching experience. This finding contradicts the findings of a study conducted with school counselors in Ohio (Scoles, 2011) and supports the findings of the national study conducted by Bodenhorn and Skaggs (2005), as described above. Contradictory findings like these beg for more research. Perhaps the higher self-efficacy of those with previous teaching experience is related to the preparation in specific academic disciplines that teachers receive. It could be that because these school counselors were previously trained in a specific academic area, they are more confident in talking with students about careers in that particular career cluster (e.g., science teachers who become school counselors may be more prepared to discuss careers in science, technology, engineering, and mathematics with students). Conversely, this potentially narrow view of career opportunities may limit the career exploration of students if school counselors do not include a wide array of career options. An excellent area for further research would be to identify how previous teaching experience may specifically impact school counselor self-efficacy.
School counselors without teaching experience, although lower in self-efficacy than those school counselors with teaching experience, still had high career counseling self-efficacy. This suggests that school counselors without teaching experience have confidence in their ability to provide career counseling. If, as Peterson and Deuschle (2006) suspected, the advantage of those with prior teaching experience is because of the increased training and practice in classroom management and lesson preparation, one would expect that effect to diminish as years of school counseling experience are accumulated. A larger sample than the one in this study would be necessary to test that empirically. If, however, the impetus for the significant impact of teaching experience is more general, those newer school counselors without teaching experience may be adjusting to the setting and to new ways of managing their time, balancing multiple roles and responsibilities, incorporating community involvement, working with parents, fostering collaborative relationships, and becoming familiar with local resources. All of these tasks take time and effort and could impact a school counselor’s self-efficacy to provide adequate services to students. It may be helpful for school counselors without teaching experience to ask for support and suggestions from seasoned school counselors in the district to learn from their experiences. In addition, professional development programming could be established for school counselors to become more familiar with the specific roles and responsibilities related to the career information, education, and counseling needs within a particular community.
Finally, the third focus of the study was on how school counselors use their time and if self-efficacy is related to that allocation. Most alarming about these findings was that school counselors are spending less time providing career counseling than they are doing non-counseling–related duties. A large percentage of middle school counselors’ time was reported to be spent coordinating testing or doing other non-counseling–related tasks, which is not the most efficient use of school counselors’ strengths. School counselors are uniquely trained to provide supplemental support for students in the academic, personal and social, and career domains in order to promote student success; therefore, it would be advantageous if they were able to utilize their time in a way that is consistent with the needs of students. One option to address the time constraint, particularly in this day of tighter budgets, is to utilize someone with an administrative background for the non-counseling duties in order for the school counselor to have time to incorporate adequate career counseling into their school counseling program. This is particularly important for middle school counselors providing career counseling because middle school students are preparing academic and career plans that will serve as a guide through high school and postsecondary educational endeavors (Trusty, Niles, & Carney, 2005; Wimberly & Noeth, 2005).
The world of work is continually changing, which makes it important to be aware of the current trends in this area. As these changes happen, marginalized populations face unique issues in the area of career exploration and planning. Counselors need to be trained adequately to provide career counseling to clients. In addition to providing relevant information, promoting thoughtful reflection, and facilitating discussions for counselors-in-training, counselor educators could provide outreach and continuing education opportunities focused on career counseling.
Just as career counseling may be infused with academic and personal and social counseling for school counselors, counselor educators may consider infusing career counseling concepts throughout other courses and experiences during a training program. Counselor educators could model this authentic type of integration. Counselor educators could talk more about various career clusters and the value of career counseling throughout a training program rather than just in one specific course. Counselor educators may also facilitate discussions with counselors-in-training about their own career counseling experiences, allowing trainees time to reflect on their experience. In addition, trainees could talk about how they have worked with people in roles other than a counselor through the career exploration and planning process.
Counselors need to consider ways to utilize and increase the support of administration and teachers to identify what needs to change in order for them to reallocate their time so they are able to provide more career counseling. Providing evidence of the positive impact of their work may be an effective strategy. There are many approaches to this, such as utilizing current research studies to communicate support for the value of career counseling efforts. In addition, school counselors can gather data from current students, parents, and alumni regarding their perception of and desire for career counseling services through surveys or focus groups. Once specific programs are implemented, school counselors can evaluate the outcomes of the career counseling efforts through both formal and informal assessment procedures with students, teachers, and parents. Administrators should continue to express support for the career counseling efforts of school counselors and show support by advocating for more personnel in order for students to receive adequate career counseling and to meet the demand of the non-counseling tasks that counselors are assigned.
Limitations
The findings should be considered in light of the limitations of the study. Because of the nature of instruments that involve self-report, the results are based on the current perception of the participants and not objective assessments of the effectiveness of their work. Also, it may be more socially and professionally desirable to have confidence in personal abilities and, therefore, some participants may have answered the way they thought they should. This study was limited to those middle school counselors who had publically available e-mail addresses and were working in Virginia. Non-respondents and middle school counselors outside of Virginia are not represented in these findings; therefore, generalizing the findings should be considered with caution. Furthermore, the 406 non-respondents and the 18 respondents who did not complete the entire survey may be systematically different from the 143 respondents who were included.
Conclusion
This study has provided important new information about the self-efficacy of school counselors in the middle school setting as related to career counseling. Career counseling self-efficacy was high overall, with specific areas of deficit related to gender, ethnicity, and sexual orientation. Those school counselors who had previous teaching experience had even higher career counseling self-efficacy than those who did not. High self-efficacy in school counselors had little or no impact on the time spent providing career counseling services. Tailoring continuing education opportunities in career counseling and providing clear administrative leadership would further strengthen practicing school counselor self-efficacy. Utilizing support personnel for non-counseling–related duties may allow school counselors to use their career counseling skills and training to help middle school students explore and connect with careers, thereby improving academic and life outcomes.
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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Carrie Sanders is a visiting assistant professor at Virginia Tech. Laura E. Welfare, NCC, is an associate professor at Virginia Tech. Steve Culver is Director of Assessment and Analytics at North Carolina A&T State University. Correspondence may be addressed to Carrie Sanders, 1750 Kraft Drive, Suite 2005, Blacksburg, VA 24061, cbrill@vt.edu.