“It’s Never Too Late”: High School Counselors’ Support of Underrepresented Students’ Interest in STEM

Autumn L. Cabell, Dana Brookover, Amber Livingston, Ila Cartwright

 

The purpose of this study was to contribute to the literature surrounding school counselors and their support of underrepresented high school students who are interested in science, technology, engineering, and math (STEM). The influence of context on school counseling was also explored, in particular practicing during the COVID-19 pandemic. Through this phenomenological study, nine high school counselors were individually interviewed, and four themes emerged. These themes were: (a) professional knowledge surrounding issues of diversity in STEM, (b) training related to the needs of underrepresented students in STEM, (c) active engagement in supporting underrepresented students’ STEM career interests, and (d) barriers related to supporting underrepresented students’ STEM interests. This article includes implications for (a) how school counselors can support underrepresented students’ STEM interests, particularly during the COVID-19 pandemic; (b) how counselor educators can contribute to STEM-related research and training; and (c) how school administrators can support school counselors’ STEM initiatives. 

Keywords: STEM, school counseling, underrepresented students, high school, COVID-19

 

     The science, technology, engineering, and math (STEM) fields in the United States comprise a large and growing sector of the economy (National Science and Technology Council [NSTC], 2018). Currently, there are more than 9 million people employed in STEM careers (U.S. Bureau of Labor Statistics [BLS], 2020). This is approximately 6% of the United States workforce (BLS, 2020). According to the BLS (2020), computer science, engineering, and physical science occupations; managerial and postsecondary teaching occupations related to those areas; and sales occupations requiring scientific knowledge at the postsecondary level are considered STEM occupations. STEM occupations require the knowledge and skills to solve problems, make sense of information, and gather and evaluate evidence to make decisions (U.S. Department of Education [U.S. ED], n.d.). In order to meet the demands of the evolving workforce and society, the United States needs students who are fluent in STEM fields and are pursuing careers in STEM (U.S. ED, n.d.).

The demand for professionals and employees with STEM skill sets is a national priority (NSTC, 2018). Estimates indicate that there will be a shortage of over 1 million STEM workers (Xue & Larson, 2015), and the need for workers will grow by 8% before 2030 (BLS, 2020). In contrast, non-STEM occupations are only projected to grow by 3% before 2030 (BLS, 2020). Because of the need for professionals with STEM skill sets, choosing to pursue a career in the STEM sector leads to the potential for positive job marketability. In addition, students who major in STEM programs during college may earn a higher salary upon graduation than other students (Cataldi et al., 2014; Vilorio, 2014). However, not all students have equitable opportunities to pursue careers in STEM.

The Need for Diversity in STEM
     Diversity in STEM continues to be a concern in the United States (National Science Foundation, 2019). Beginning in high school, fewer women and minorities expect to have a career in STEM at age 30 (Mau & Li, 2018). Then, in college, significantly more men than women declare STEM majors and significantly more Asian and White students declare STEM majors (Mau, 2016). Although women now make up over half of the overall workforce, they are underrepresented in certain STEM sectors, such as computer jobs and engineering (Funk & Parker, 2018). Relatedly, in 2015–2016, more bachelor’s degrees were awarded to females (58%) than males (42%), yet females only made up 36% of bachelor’s degrees in STEM fields (National Center for Education Statistics [NCES], 2019). Additionally, the gender wage gap is wider in the STEM fields than in non-STEM jobs (Funk & Parker, 2018).

Further, Black, Latinx, and Native American workers are underrepresented in STEM occupations when compared to White and Asian workers (Funk & Parker, 2018; Mau, 2016). Though racial minorities are gradually becoming more represented in STEM fields, there is still more work to be done. For example, in 2015–2016, White students were awarded approximately 90% of the bachelor’s degrees in STEM fields (NCES, 2019). The percentages of Latinx (15%), Black (12%), and Native American (14%) students who received degrees in STEM was disproportionately lower than that of White students.

These gender and racial disparities in STEM begin even before students enter college. High school is a critical timepoint to address gender and racial disparities in STEM. High school provides students with an opportunity to engage in higher-level STEM coursework and gain self-efficacy in their STEM skills and abilities. Chen (2013) suggested that when students do not have the opportunity to engage with higher-level coursework in STEM, they are less likely to complete college degrees in STEM. Further, Grossman and Porche (2014) explained that during the high school years, encouragement to pursue STEM coursework is critical to developing students’ STEM self-efficacy. Mau and Li (2018) found that ninth grade students with higher math and science self-efficacy were more likely to have STEM career expectations and aspirations.

However, girls and underrepresented minorities in K–12 are more likely to experience stereotype threat (i.e., anxiety about their performance or ability based on negative stereotypes) and less likely to be enrolled in advanced STEM coursework during high school (Curry & Shillingford, 2015; Hamilton et al., 2015). This results in gaps in advanced STEM skills and a lack of further interest in STEM careers. Thus, professional school counselors must address the inequities in opportunity for their students through targeted STEM career interventions. Often, high school is a student’s last opportunity to develop their interest in STEM careers (Falco & Summers, 2019; Schmidt et al., 2012; Shillingford et al., 2017).

School Counselors and STEM
     Under their role as defined by the American School Counselor Association (ASCA) National Model (2012), professional school counselors play an integral part in utilizing career counseling to support and encourage students to pursue STEM education and careers (Schmidt et al., 2012). Falco (2017) provided a conceptual model for school counselors to guide their STEM academic and career support with their students, including: (a) encouraging students to take advanced math and science courses, (b) providing classroom instruction on the benefits of pursuing STEM education, and (c) improving self-efficacy through providing mentoring and small group counseling opportunities. Other suggested roles for professional school counselors in STEM counseling involve ensuring equitable gender and racial ethnic ratios in STEM classes, integrating STEM knowledge into goal setting, and involving parents and guardians in academic and career planning (Schmidt et al., 2012). Although the topic of STEM counseling within the school counseling profession is still emerging, school counselors and researchers have highlighted the importance of working with girls and underrepresented racial minorities regarding STEM pursuits (Falco & Summers, 2019; Shillingford et al., 2017).

School Counselors and STEM for Girls and Underrepresented Racial Minorities
     In order to provide equitable and anti-racist school counseling services, professional school counselors must be knowledgeable and aware of the factors perpetuating the opportunity gaps in STEM for girls and underrepresented minorities. Potential reasons for the opportunity gaps in STEM higher education include: (a) young people not being engaged in higher-level STEM coursework in high school, (b) inability to meet the financial or time commitment required by STEM programs, and (c) motivation and confidence concerns (Chen, 2013). Additionally, starting in adolescence, underrepresented students in the STEM fields also face a lack of support and encouragement and, oftentimes, direct discouragement from educators regarding enrollment in rigorous STEM coursework (Grossman & Porche, 2014).

Unfortunately, underrepresented students are less likely to expect their school counselors to share postsecondary information with them, and school counselors often miss opportunities to improve underrepresented students’ STEM outcomes (Dockery & McKelvey, 2013; Shillingford et al., 2017). Yet, emerging evidence shows that school counselors can impact STEM aspirations in students. For instance, one school counseling intervention that showed promising results in promoting STEM self-efficacy was a career group intervention with adolescent girls, half of whom identified as Latina (Falco & Summers, 2019). The school counseling intervention focused on targeting STEM self-efficacy and career decision self-efficacy. The results indicated that participants in the treatment group improved significantly on both outcomes and even increased those gains 3 months post-intervention when compared to the control group (Falco & Summers, 2019).

In another study, researchers aimed to investigate the influence that school counselors’ leadership had on STEM engagement, their collaboration between parents and students of color, and barriers that inhibited them from giving students more tools and resources to contribute to their success (Shillingford et al., 2017). The school counselors in the study aligned with a leadership style that integrated collaborative and motivational techniques and suggested other school counselors can utilize their leadership style to communicate more effectively with parents and support racially underrepresented students’ STEM aspirations (Shillingford et al., 2017). However, there are barriers surrounding these efforts, including inadequacy of education around STEM for school counselors; challenges with supporting parents, especially parents from marginalized racial identities; and having insufficient resources to benefit students (Shillingford et al., 2017). These studies show that school counselors can target STEM self-efficacy and emphasize school counselors’ roles in promoting STEM career aspirations with racially underrepresented students. However, the current context of the COVID-19 pandemic should be taken into consideration when surveying the current climate of STEM counseling with students.

COVID-19 and School Counselors
     The COVID-19 pandemic has highlighted the inequities within our education system (Aguilar, 2020). For example, there is a digital equity gap, which includes a lack of access to adequate technology or internet, which must be taken into consideration and addressed in the virtual and hybrid learning settings many school divisions have adopted (Aguilar, 2020). During the pandemic, students often come to their virtual learning environments disengaged and having experienced various traumas (Savitz-Romer et al., 2020). These considerations call for flexibility, empathy, and perseverance from educators, including school counselors.

School counselors are trained in promoting students’ social-emotional, academic, and postsecondary development and hence are key to supporting students’ readjustment, learning, and continued college and career readiness progress during this time (Savitz-Romer et al., 2020). The work of the school counselor has not halted, especially with the challenges inherent in transitioning to a new way of school counseling. These challenges during the pandemic have led to less time spent in their usual counseling about social-emotional issues, career development, or postsecondary plans; notably, 50% of school counselors reported they spent less time than usual on career planning, and 25% reported less time spent on college planning (Savitz-Romer et al., 2020). Still, school counselors are pushing forward and adapting their practices to continue their work, including STEM counseling (ASCA, 2021).

Purpose of the Current Study
     As reviewed, professional school counselors play a vital role in the development and motivation of students interested in STEM. Shillingford and colleagues (2017) called attention to the necessity of educating school counselors on how to support students of color interested in the STEM fields, as well as the influence of having a collaborative relationship between parents, students, and school counselors to assist with students’ STEM career development and exploration. Although Shillingford et al. emphasized the leadership role school counselors take in impacting the pipeline of students of color in STEM, their work (a) does not address the intersectionality of the race and gender disparities in STEM and (b) does not specifically address the critical, and perhaps last, opportunity for counseling intervention that can take place at the high school level.

Given the need for gender and racial diversity in STEM and the limited literature that emphasizes the role of school counselors in STEM counseling and education, the purpose of this transcendental phenomenological study was to increase understanding of the lived experiences of high school counselors who support girls’ and underrepresented minority students’ interests in STEM. As students begin to prepare for their next step in life, high school is the last chance school counselors have to intervene and influence students who have shown interest in STEM-related careers and minimize potential barriers that may come their way. Thus, the following research questions guided this inquiry: 1) What are the experiences of high school counselors who support girls’ and underrepresented minority students’ STEM interests and career aspirations? and 2) What contexts (including the COVID-19 pandemic) influence high school counselors’ support of girls’ and underrepresented minority students’ STEM interests and career aspirations?

Method    

     A transcendental phenomenological approach was used to develop understanding of the experiences of high school counselors who support underrepresented students’ STEM career interests and the contexts that influence their support. Transcendental phenomenology is a suitable design when the aim is to discover the essence, or the nature, of a phenomenon, experience, or concept (Moustakas, 1994). Our research team included four members. Our first author, Cabell, is a Black, cisgender female counselor educator. As the primary researcher, her role was to recruit and interview participants and to assist with coding. The research team also included two Black, cisgender female counselor education and supervision doctoral students, Livingston and Cartwright, and one White, cisgender female counselor education doctoral candidate, Brookover. Cabell, Brookover, and Cartwright hold master’s degrees in school counseling. Cabell and Brookover previously worked as high school counselors and Cartwright worked as an elementary school counselor at the time of the study. In addition, Cabell has professional experience providing career counseling to undergraduate engineering students. Livingston earned a master’s degree in college counseling and has professional experience working with diverse populations of college students.

Sample
     The recommended sample size for phenomenological qualitative research is 5–25; thus, participants were recruited with this range in mind (Creswell & Poth, 2017), using purposeful sampling. Criteria for inclusion were school counselors or school counselor interns who worked in a high school within the past 2 years. A total of nine school counselors participated in this study.

Participants were seven school counselors who worked in a high school at the time of the study, one school counselor who worked in a high school within the past 2 years, and one college counselor who worked in a high school at the time of the study. Participants were racially diverse with six identifying as Black, two identifying as White, and one identifying as Mexican American/Chicano. Regarding gender, seven identified as cisgender women and two identified as cisgender men. Participants’ ages ranged from 26 to 46. In addition, the sample included participants who worked in various states, including two each in California and Virginia; one each in Indiana, Maryland, Michigan, and Washington, D.C.; and one who worked in both Kansas and Missouri. Three participants stated that they worked at a Catholic private high school. As part of their role, all participants stated that they provided career counseling services to students on a weekly basis. Most participants (n = 5) explained that the high school where they worked was diverse with regard to students’ race and gender. Lastly, participants had 4–18 years of experience working as high school counselors. See Table 1 for participant pseudonyms and demographics.

 

Table 1

Participant Pseudonyms and Demographics

Pseudonym Gender Age Race State Years of Experience Role and Work Experience
Jane Female 38 Black MD 7 Counselor at a Catholic high school
Kate Female 40 Black CA 5 College counselor at a Catholic high school
Christy Female 26 Black D.C. 4 Counselor at a Catholic high school
Lauren Female 37 White KS/MO 7 Counselor who just switched from
high school to elementary school
Dawn Female 30 Black VA 4 Counselor at a public high school
Kelly Female 37 Black MI 13 Counselor at a public high school
Jo Male 46 Mexican American/Chicano CA 18 Counselor at a public high school
Tina Female 35 Black IN 4 Counselor at a public high school
Mark Male 38 White VA 6 Counselor at a public high school

 

Data Collection
     First, the study was approved by the university’s IRB. After approval, our first author, Cabell, sent recruitment flyers and emails to high school counselors using social media platforms (e.g., Twitter, Facebook, and LinkedIn) and state and national school counseling listservs (e.g., ASCA SCENE). Volunteers who met the eligibility criteria were encouraged to email Cabell in order to schedule a virtual interview through Zoom. Volunteers confirmed via email that they were a school counselor or school counseling intern at a high school within the past 2 years. Then, volunteers were sent the informed consent form and information on how to schedule their interview. Once scheduled, participants were emailed a Zoom link and directions on how to start their interview. Each interview lasted approximately 30–45 minutes and was audio-recorded.

At the beginning of each semi-structured interview, participants were asked demographic questions. Cabell developed interview questions based on the literature regarding (a) school counselors’ involvement in STEM education, (b) the underrepresentation of girls and racial minorities (e.g., Black, Latinx, and Native American) in STEM, and (c) the impact of COVID-19 on school counseling and K–12 education. The interview included 11 questions (see Appendix for the full list). Example interview questions included: What is your understanding of the issues of diversity in STEM? What has been your experience in promoting STEM careers to underrepresented students? What barriers do you face in promoting STEM careers to underrepresented students? and How has the COVID-19 pandemic impacted your role in supporting underrepresented students’ STEM career aspirations and interests? Following each interview, the audio recordings were transcribed using a website (Rev.com) and checked for accuracy by both Cabell and the participants. Cabell reviewed the transcripts for accuracy and made any changes due to typographical errors. She then emailed the transcripts to participants to review and make any changes. Two participants identified typographical errors in their transcript and emailed Cabell with edits.

Data Analysis
     Data from the interview transcripts were analyzed. First, the raw data from the transcripts were examined to note significant quotes (i.e., horizontalization). Each transcript was reviewed individually by Cabell and Cartwright for exemplary quotes related to the research questions. Then, clusters of meaning were developed from these quotes and compiled into themes. These themes were used to develop descriptions of the participants’ experiences and explain how contextual factors influenced their support of underrepresented students’ STEM career interests and aspirations. 

Trustworthiness
Trustworthiness is critical to establishing the validity of qualitative research; thus, several measures were implemented (Maxwell, 2005). First, in order to set aside personal biases, experiences, and feelings regarding the purpose of the research, all members of our research team engaged in bracketing our own experiences (i.e., epoché) before beginning this research (Creswell & Poth, 2017; Moustakas, 1994). Bracketing was completed in the form of concept maps and journaling. We individually bracketed our potential biases and then discussed our process with the team. Potential biases that were discussed included: (a) the impact of our first author’s experience providing career counseling to engineering undergraduate students, (b) our race and gender, and (c) our prior school counseling experience with underrepresented minorities.

In addition, throughout each semi-structured interview, Cabell completed check-ins to ensure understanding of the participant’s experience and perspective. Also, after each interview was transcribed, participants were sent their transcripts for member checking. Any inaccuracies in the transcript were changed based on the participant’s responses. Only transcripts that were reviewed by the participant were analyzed. Next, Cabell and Cartwright independently coded each transcript. Then, we established group consensus for all themes and exemplary quotes. Lastly, after the codebook was developed with themes and participant quotes, we sent the codebook to two counseling graduate students, who served as external auditors after being trained by Cabell on qualitative research and auditing. They reviewed the codebook to identify any discrepancies and ensure the significant quotes, themes, and codes aligned.

Results

We sought to (a) highlight the experiences of high school counselors who support the STEM interests of girls and underrepresented minority students and (b) identify the contexts that impact their ability to support these students, particularly taking into account the COVID-19 pandemic. Specifically, participants reflected on supporting girls; Black, Latinx, and Native American students; and those students at the intersections of both identities (e.g., Black girls, Latinx girls). We identified four themes in the analysis of the high school counselors’ experiences: 1) professional knowledge of issues of diversity in STEM; 2) training related to the needs of underrepresented students in STEM; 3) active engagement or taking an active role in supporting underrepresented students’ STEM career interests; and 4) barriers related to supporting underrepresented students’ STEM interests, including COVID-19, school, administration, students’ self-efficacy, and language.

Theme 1: Professional Knowledge
     The first theme of professional knowledge of issues of diversity in STEM encompassed participants’ knowledge of the issues of gender and racial disparities in STEM fields nationally (i.e., representation in STEM occupations) and issues of diversity in STEM at their school (i.e., STEM courses). All participants were aware of the lack of racial and gender diversity in STEM nationally. Jane explained:

People of color, especially Black students, people who identify as female or women are vastly underrepresented in many of the STEM fields. . . . I know that there are many initiatives in K–12 [and] higher education to bring in or recruit or encourage students of color in particular and female students of color to explore STEM.

Similarly, Kate discussed that the STEM fields overall are “moving in a more diverse direction” yet are still dominated by men. She noticed that the majority of the students at her high school who are interested in STEM “are not Black or Brown students, they’re usually everything else.” According to Christy, “there’s a huge gap with our minorities. They don’t have the access to the education of the different jobs in STEM, and how to even reach those positions. . . . It ends up being a cyclical effect.”

Further, Dawn reflected on the lack of representation in STEM fields and the initiatives that she knows aim to diversify the images of STEM professionals. For example, Dawn discussed a social media campaign and stated:

There’s been a cool campaign, like what a scientist looks like. And it’s all of these cool Black women in lab coats. . . . So I’m pretty sure it’s just fighting against stereotypes of who should be in STEM, and what kind of person.

Kelly also spoke to the lack of diversity in STEM, not only as a national issue but also in her high school. Kelly mentioned the STEM opportunity gap: “If students are in STEM programs and they are of color, they don’t really see a lot of support, and they definitely don’t see teachers and staff that look like them.” Likewise, Jo explained that girls in particular “sometimes doubt their ability even though they’re within our top 5% of our school.” Tina acknowledged that there is a need for more girls in STEM and girls of color in STEM nationally, so she explained, “I’ve definitely been pushing my girls, especially my girls of color, my Latinx and my Black girls to definitely go out” and “I often tell them ‘paint engineering with your red lipstick,’ because I think that’s what we need to see is more women out there.”

Theme 2: Training
     The second theme of training related to the needs of underrepresented students in STEM was identified through participants’ reflections on formal and informal training opportunities they completed to effectively meet their students’ needs. Some of the participants received informal training with regard to STEM counseling and education. For example, Jane explained that when she first became a school counselor, she “became friends with a few school counselors who were also women of color. And they were . . . fierce advocates for girls of color in the computer science field specifically.” The informal professional development that this group of school counseling peers provided her then led to more formal training on “some of the various tools that are out there, programs that are available, ways in which you can target girls of color and just some of the roadblocks that we as school counselors might run into.” Though Jane received both formal and informal training, she explained, “I’m still learning . . . ways in which we can do better in terms of exposing students, building it into our program, collecting data around it.” Similar to Jane, Mark also had the opportunity to attend both formal and informal training. Mark stated, “I’ve attended the occasional webinar here and there that focuses specifically on that particular demographic.” He also added that he had conversations with “some of the professors and the advisors [at neighboring colleges] within those STEM programs that really helped develop a broader understanding.”

In contrast, many participants (n = 7) could not discuss informal or formal training opportunities with regard to STEM and supporting underrepresented students. Kate explained that she received “nothing in the formal sense” with regard to STEM counseling or education training. Similarly, Christy stated, “I would say formally none, nothing professional regarding development, or seminars, workshops, or anything like that.” However, she did have some informal training because supporting underrepresented students’ STEM interests has been “a conversation that we have had with our counseling department of how to bring different types of professionals into the school and bringing them into the career days.” Dawn expressed that “STEM is such a big field. I still need help learning and understanding everything that STEM offers.” Sharing a similar sentiment in needing to know more, Tina explained, “I wish I knew more. . . . It’s just, I want to know more. I want to be able to support them. My goodness.”

Theme 3: Active Engagement
     The third theme of active engagement in supporting underrepresented students’ STEM career interests emphasized the roles the high school counselors took to support students with STEM career interests. Many participants recognized their role as high school counselors in providing students with exposure to STEM career fields and supporting students’ prior knowledge of STEM. Embedded into the interviews with participants was the role of the school counselor and STEM. Christy stated, “It’s really our role to bridge that gap and make the connections that may not have been made previously, or the students might not have had access to before.” Mark shared his role in optimizing students’ strengths:

“Every student is going to present his or her own set of talents and abilities. . . . it’s my job to make sure that I can help them recognize what those talents and abilities are and help them cultivate a passion.”

Participants also took pride in building relationships with students early in their high school experience to assist them in discovering STEM careers. Kelly stated, “We definitely talk about it when students come to our offices. When we meet with our eighth graders coming into high school, we definitely let them know, here are your options.”

A method of bridging the gap for underrepresented students is by providing access to academic and postsecondary STEM opportunities. Christy spoke to her experience of supporting underrepresented students by providing that access:

We introduced that summer bridge class for the students. So, this will be the first year that we will potentially see the benefit of that. And hopefully seeing stronger grades in those students, especially students coming from public schools, minority students who are just now having access to the private school resources.

Similarly, Jane found value in encouraging her underrepresented students with passions in STEM to take advantage of all opportunities. Jane spoke of an encounter with a previous student. She recalled, “Last year I had a Black female student who said that she had started coding classes in middle school. . . . She really liked it, so I was like, ‘Great. We’re going to do all of them.’” In increasing access for students, the participants were intentional to ensure underrepresented students have opportunities. Kate stated, “I keep a lookout for virtual fly-in opportunities, especially when I know I have a student that’s interested in STEM and they are of a minority group, I always nominate them for those fly-ins.”

Jane summarized her role in supporting underrepresented students’ interests in STEM by saying:

“The school counselor has a huge role in not only exposing students to the possibilities of STEM careers but really targeting and explicitly encouraging Black students, Latino students to participate in and learn more about the STEM field.”

Further, regarding taking an active role in encouraging underrepresented students to pursue STEM, one participant, Kate, reflected on how her own racial identity motivates her to encourage students of color:

Me being a woman of color, I can’t help but feel like I’m rooting for everybody Black. . . . That’s not to say that I don’t encourage my non-students of color to also pursue STEM. . . . I feel like I have to really look out for my students of color, in my counseling department, I’m the only Black counselor. So, I do feel more pressure to really look out for them because I know, prior to me getting there, they weren’t inviting Historical Black Colleges and Universities [HBCUs] to come out. There was no HBCU session at our college fairs and so forth. No one was sending out information about the multicultural fly-ins. . . . Now I’m doing it and I forward it to my coworkers.

Lauren discussed how she actively identifies underrepresented students for STEM-related opportunities. Communication is key, she said: “Good communication with my teachers, so of course, math and science teachers, if they’re in tune with their students, that’s really helpful, identify the students and let me know.” In addition to communication with teachers, Lauren found value in using college and career cluster surveys with students. Lauren said the most impact her role has with students with regard to STEM is during career assessments “when they’re identifying that their talents or their personality matches up with any of the STEM fields.” She noted, “I think that’s brought in the most numbers of kids.” Other participants also used more formal career development tools. Christy stated, “We use Naviance at our school for college planning,” and Jo stated, “Our school uses Xello. It does a lot of interest surveys and gets students to see where they’re at, their personality, their interests and then matches it to careers.”

Theme 4: Barriers
     Barriers related to supporting underrepresented students’ STEM interests emerged as the fourth theme, with participants reflecting on hindrances to their ability to support underrepresented students’ STEM careers and opportunities. These barriers included: COVID-19, school, administration, students’ self-efficacy, and language.

COVID-19
     COVID-19 is a barrier that was presented in most of the participants’ interviews (n = 8). It was primarily identified as a context impacting students negatively and also one that resulted in changes to school counselors’ roles and day-to-day practice. When reflecting on the beginning of the pandemic, Lauren expressed, “All I did from March through May was call, email, and bother parents and seniors about graduation and making sure they were alive. That completely impacted my role for minority students pursuing STEM. . . . We were down to basic needs.” Christy also reflected on COVID-19 and said, “It’s really been bad. I would say that minorities in general, that’s probably the hardest group to get to virtually” with regard to communicating with students as a result of virtual schooling. Jo echoed Christy’s sentiments and stated, “I think the biggest challenge has been the distance, like not being able to meet them one-on-one.” Jo further explained, “Some of our students do not have all the technology they need, so they can’t jump on a Zoom, or maybe they do and the Wi-Fi is really bad.”

School
     Participants also highlighted requirements at the school level that hinder students from accessing STEM careers and opportunities. Jo stated, “A student could do everything they need to graduate high school but not necessarily be ready for the university.” Jo was referring to the lack of college readiness and opportunity his school provides. Moreover, Kelly stated, “So they’re interested in that…the medical or the engineering. But when they find out, ‘I can get more credit in an AP,’ it kind of turns them off a little bit.” AP courses can help students with a weighted GPA, bring students closer to meeting graduation requirements, and give them college credits. In Kelly’s experience, her students are interested in STEM fields; however, it is hard to combat the course credit hours linked to an AP course versus a STEM course. Furthermore, in relation to school barriers, Kate mentioned the importance of anti-racist school practices:

I would probably even go as far as to say, knowing that all of our STEM teachers and faculty are anti-racist and I don’t know that all of them are. And the reason why I think that that’s important is because it’s possible that they receive opportunities for students, and are they aggressively sending or communicating those opportunities out to students of color? 

Administration
     In addition to COVID-19 and school barriers, participants also highlighted the lack of time and some administrative issues as barriers to supporting underrepresented students who are interested in STEM. For example, Jane discussed that high school is late in a student’s educational experience to only just begin discussing STEM:

I think the primary barrier is getting them so late. I mean, high school is late. It’s not too late, of course. It’s never too late. Students can always find their interest and their passion. But it’s not like the super early stages.

Jane further emphasized that by the time students of color are in high school, they may already lack the necessary exposure to STEM coursework:

I don’t know if any of my Black students are coming into ninth grade with that previous exposure. . . . I know that some of them are not. And so, I think that is a huge barrier. Not having them already exposed to a lot of what the STEM fields can offer.

Another challenge that participants highlighted was not having enough time to meet with students individually because of their caseload or administrative tasks. For example, Christy mentioned, “Another barrier is just time. Even with my caseload this year, I have 350 students.” Similarly, Lauren discussed “the lack of time, and the bulk of so many other responsibilities being given to counselors by administrators” as an impediment.

She further explained that the wide list of administrative duties at the high school level not only impeded her ability to meet students’ needs but also prompted her to leave high school and work at the elementary school level. Likewise, Kelly also explained how administrative tasks hinder her ability to have “meaningful conversations in a smaller school setting” because instead of meeting with students individually, she highlighted that she has “19 other things to do . . . because of the makeup of my job.”

Students’ Self-Efficacy
     Participants also identified barriers regarding underrepresented students’ beliefs about STEM and their STEM abilities. Mark explained that one of the biggest issues he faces in supporting students from diverse backgrounds who are interested in STEM “is that they struggle with some of the challenging courses.” Similarly, Jane expressed that students may have struggled in STEM coursework during elementary and middle school, resulting in negative self-efficacy beliefs like “I’m not a math person or I’m not good at math.” In a similar vein, Jo explained that some of his underrepresented students do have the academic foundation; however, they “sometimes don’t feel as confident” about their STEM abilities. He stated, “I think a lot of my students, when they’re looking at these careers, sometimes they don’t see themselves in those careers and so that steers them away. . . . They just don’t feel it’s a possibility.”

Language
     Lastly, some participants recognized the prevalence of barriers specific to the Latinx community. Tina mentioned the role of a counselor when helping students make the connections to various career options:

Working with Latinx and some undocumented or DACA students, the students of color, and even first-generation students . . . our role is very influential. In certain situations, especially for my kiddos whose parents don’t speak English, we are the adult, we are the person that’s helping them make those important decisions.

Some families Jo worked with did not always understand the materials about a STEM opportunity because of language barriers. He emphasized the importance of having materials in languages all families can understand:

We can sometimes talk about opportunities, but if it’s not getting into the hands of the families and if they’re not understanding what the opportunity is, they may not be as willing to allow their kid to attend maybe a 6-week program or a college program.

Discussion 

     STEM fields are growing in demand and are in need of talented and diverse individuals from varying gender identities and racial backgrounds (BLS, 2020; NCES, 2019). High school is the last opportunity in the K–12 system to promote and increase the pipeline of underrepresented students pursuing STEM careers. This study sought to support and extend the literature on the role of school counselors in supporting underrepresented students’ STEM career interests while also exploring the impact of context, including the COVID-19 pandemic, on STEM counseling. The findings emphasize the importance of high school counselors in promoting, encouraging, and supporting girls, racial minorities, and students at the intersections of both identities who are interested in STEM careers.

The results of this study aligned with the findings of Shillingford and colleagues (2017) that knowledge and training related to STEM professions was lacking for school counselors. Similarly, in the present study, some participants were able to identify concrete formal and informal training that they received in regard to STEM careers and diversity issues, but many of the participants in this study stated that they either received no training or were in need of more information and training related to STEM careers and diversity concerns. Further, time was similarly identified as a barrier. In both studies, school counselors explained that there is not enough time in the day to dedicate to discussing STEM career pathways with students individually.

Our findings have added a more nuanced understanding of time as a barrier for students and school counselors given its emphasis on high school. School counselors (n = 3) discussed how lack of prior STEM academic experiences can have negative consequences for high school students’ interest in STEM. For example, if a student is missing the foundational academic understanding of STEM before they get to high school, then they can fall further behind in the academic work even though they may express an interest in STEM careers. In addition, although high school is not too late to intervene and support students’ STEM interests, it is late in the academic journey to both (a) supplement academic understanding and (b) combat the internalized beliefs that students may have because of their prior educational experiences with STEM.

Similar to the work of Falco and Summers (2019), the importance of self-efficacy was explained by the participants in this study. For example, both Jo and Jane explained how Black and Latinx girls may lack confidence in themselves and not see themselves as being capable of pursuing and excelling in STEM careers. In interviews, they both observed how students either struggling in STEM coursework previously or not seeing themselves represented in STEM careers experienced diminished self-confidence regarding STEM. Although none of the participants explicitly discussed the term self-efficacy, they explained that Black and Brown students and girls may have low STEM-related self-efficacy and school counselors can play a role in increasing students’ exposure to STEM. The role high school counselors play in exposing students to diversity in STEM and diverse STEM careers is integral to challenging students’ distorted STEM self-efficacy beliefs. Moreover, Christy discussed her role in supporting students with STEM bridge courses—school counselors’ participation in these programs can help students develop STEM skills and self-efficacy.

Furthermore, in alignment with ASCA’s (2021) emphasis on school counselors’ role in supporting the social-emotional learning and career development of students, the findings in this study also revealed the importance of career development assessments in high school counselors’ ability to support students. Career assessment tools and platforms such as Naviance, Xello, CollegeBoard, etc., provided participants in this study with the tools to 1) identify students who may be interested in STEM careers and 2) help students connect their interests and abilities to STEM careers. Though school counselors might be pressed for time, utilizing career assessments can help structure individual meetings with students and open the door to follow-up conversations and programming surrounding careers in STEM.

In addition, the findings also revealed the importance of making community connections and utilizing social media to further support underrepresented students as they pursue STEM careers. Participants mentioned the importance of connecting students with HBCUs or other colleges in the area in order to help underrepresented students explore postsecondary options in STEM. Moreover, to increase students’ access to representation, as Dawn mentioned, high school counselors can expose students to social media campaigns that emphasize the representation of Black women in STEM, Latinx women in STEM, Native American men in STEM, and more. Increasing students’ access to more diverse images and professionals in STEM can help students to think about what being in STEM can look like after high school and, therefore, begin to see themselves in those STEM positions.

With the current emphasis on anti-racist educational processes in mind, the findings revealed the importance of communication. Participants explained that specifically, communication with math and science teachers is critical to identifying and supporting underrepresented students who are exhibiting strong potential in STEM. Additionally, Kate pointed out the importance of knowing that everyone in the school, including teachers and school counselors, are engaging in anti-racist practices in order to communicate with underrepresented students surrounding opportunities that increase access to STEM. Schmidt and colleagues (2012) also emphasized the importance of school counselors encouraging teachers to remove systemic barriers to students’ educational success. Moreover, Jo and Tina highlighted the importance of having materials for students and parents in various languages in order to communicate STEM possibilities. In engaging in anti-racist practices, it is important for school counselors to collaborate with school administrators to reduce barriers in communication, particularly surrounding the languages used to share STEM opportunities targeted to underrepresented students.

Overall, the findings of this study revealed that COVID-19 has resulted in additional barriers to supporting underrepresented high school students’ STEM career interests. In alignment with the emerging literature surrounding COVID-19 and its impact on the educational system, participants explained the technology gap is even wider for their Black and Brown students (Aguilar, 2020). Students’ inadequate access to technology has made it difficult for school counselors even to check in with students, much less discuss students’ STEM career aspirations. As Lauren mentioned, many school counselors have been addressing students’ basic needs during the pandemic. Although many STEM companies are still hiring during the pandemic and STEM careers are still projected to grow even after the pandemic, school counselors’ conversations with underrepresented students regarding STEM may be stalled at this time.

Implications

     The present study has implications for school counseling practice, counselor education, and school administration. As expressed in the participants’ interviews, high school counselors care deeply about supporting underrepresented students’ STEM interests, despite the barriers. At the same time, high school counselors may be limited in their own training and their knowledge of STEM opportunities. Furthermore, COVID-19 has resulted in additional barriers for school counselors who may already be confronted with limited time and resources.

School Counseling
     Students may benefit from school counselors sharing more STEM postsecondary options. For example, when discussing postsecondary options related to STEM, none of the participants discussed students participating in apprenticeships. Most participants reflected on connecting students to universities, including HBCUs. However, apprenticeships are paid industry-driven experiences in which students can receive specialized training with a company (U.S. Department of Labor, n.d.). Many apprenticeship programs are related to STEM. For example, there are apprenticeships for information technology specialists, medical laboratory specialists, and pharmacy technicians. In addition, a main benefit of completing an apprenticeship program in a STEM industry after high school is that after the completion of their apprenticeship, over 90% of employers retain their apprentices for full-time employment.

Moreover, although COVID-19 has shifted many schools to virtual formats, there are still opportunities for school counselors to help underrepresented students. For example, many STEM companies, such as Boeing, AT&T, Abbott, and more, are offering students virtual internship experiences. Websites such as Vault.com have offered virtual internship job search tools during the pandemic. In addition, online tools such as LinkedIn Learning can provide students ages 16 and above with access to training opportunities related to coding, math, and science concepts. School counselors increasing their knowledge about practical virtual STEM resources can help increase underrepresented students’ access to STEM careers during the pandemic. Through connecting with local university and community college career services departments, school counselors can learn more about STEM resources to share with students. In addition, there are several STEM-focused social media groups that school counselors can join in order to learn more about STEM. School counselors with an interest in STEM can develop more state or regional interest networks within their school counseling organizations in order to share resources and information with each other.

Counselor Education
     This study also has several implications for counselor educators who will train the next generation of school counselors. Several participants highlighted that they had limited or no training on STEM career opportunities. In order to help increase school counselors’ knowledge regarding the need for STEM professionals and the ways that they can support underrepresented students, counselor educators can incorporate this learning into career counseling coursework. For instance, as an assignment, counselor educators can help school counseling graduate students utilize career counseling theory to develop a program aimed at promoting STEM to underrepresented high school students. Utilizing career counseling coursework to encourage students to find creative solutions to career-related issues can help make this course more meaningful and practically significant for future school counselors.

In addition, counselor educators can engage in research endeavors to build the literature connecting school counseling and STEM education. In doing so, counselor educators can host webinars, present at conferences, and disseminate information in both school counseling newsletters and professional journals in order to help increase school counselors’ knowledge on the needs of underrepresented students who may be interested in STEM. Additionally, counselor educators can collaborate with ASCA to conduct professional development opportunities for school counselors that explain relevant literature on STEM and how school counselors help develop students’ STEM career aspirations.

School Administration
     Similarly, school administrators can support and encourage school counselors to attend professional development opportunities regarding STEM. This support can entail sharing STEM-related professional development opportunities with school counselors and giving school counselors the time to attend these professional development opportunities. Additionally, school administrators could benefit from listening to school counselors’ recommendations for how schools can better support underrepresented students and ensure equitable access to STEM coursework. Further, school administrators can review policies to incorporate anti-racist practices that promote STEM to diverse populations of students. These practices can include: (a) reviewing the racial and gender makeup of STEM courses to ensure equitable representation of students in STEM courses; (b) building connections with community organizations and stakeholders that provide resources to underrepresented students who are interested in STEM; and (c) ensuring that school counselors have access to documents regarding STEM opportunities to share with students and their parents in multiple languages, including both English and Spanish. Moreover, school administrators can work to ensure that the duties assigned to school counselors align with the ASCA National Model (2012) and allow school counselors to focus on STEM-related career development interventions for students.

Limitations and Future Research 

     There are several limitations to this study that warrant discussion. First, many of the participants in this study were counselors of color. Thus, there may be an element of self-selection bias wherein participants (school counselors of color) were more inclined to value the purpose of the study and be more connected to the experiences of underrepresented students. Hence, future research can emphasize the importance of all school counselors, regardless of race, addressing the needs of underrepresented students in STEM. Similarly, all the counselors in this study were several years removed from their graduate school experience. School counselors who have graduated recently may have more training and awareness of the disparities in STEM; thus, future studies can explore beginning counselors’ knowledge of STEM issues and support of underrepresented students.

In addition, all interviews were conducted virtually, which can increase the likelihood of response inhibition, wherein participants were uncomfortable with confidentiality and privacy when speaking across the internet (Janghorban et al., 2014). Future studies that are not limited by a pandemic or geography may benefit from doing in-person interviews in participants’ schools or an environment where the participants feel more comfortable. Although validity practices such as journaling, external auditing, and check-ins were utilized by our lead researcher, her closeness to the topic as both a professional and a Black woman may have impacted the objectivity of the study. The sample size was in accordance with phenomenological research; however, an increased sample size that is even more representative of school counselors from high schools across the nation could help increase this study’s generalizability.

Future research studies can explore the educational experiences of underrepresented professionals (e.g., Black women) in STEM in order to better understand what makes students pursue and stay in STEM fields as well as the role of the school counselor in their future success in STEM. In addition, future studies can explore how school counselors can collaborate with career advisors at local colleges in order to increase diversity in the STEM pipeline. In a similar vein, future studies can explore the experiences of underrepresented high school students who received STEM-related support from their school counselors and transitioned to college to pursue a major in STEM. Also, very few of the participants in this study explicitly spoke to their experience supporting Native American and Indigenous students. Given the lack of Indigenous and Native American professionals in STEM, future studies can specifically focus on their needs with regard to STEM education.

Conclusion 

In sum, school counselors play a vital role in supporting the academic and career success of all students. For students who may find themselves underrepresented in STEM, high school counselors can make the difference by exposing them to possibilities and opportunities in STEM. High school might be some students’ last opportunity to (a) explore and discover varying career paths, (b) complete the preparation needed for a smooth transition to college, and/or (c) access resources to support diversity in STEM. In spite of barriers and limitations, school counselors ensure that students, regardless of gender or race, do not fall through the cracks and are encouraged to pursue any profession they desire, including a career in STEM.

 

Conflict of Interest and Funding Disclosure
This study was made possible by a grant from
the Virginia Counseling Association Foundation.
The authors reported no conflict of interest
for the development of this manuscript.

 

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Appendix
Interview Questions

What is your understanding of the issues of diversity in STEM?

What training did you receive regarding the needs of underrepresented students who are interested in STEM?

What do you believe is the role of a school counselor in supporting underrepresented students’ interest in STEM careers?

What is your role in supporting STEM academic and career opportunities for underrepresented students?

What has been your experience in promoting STEM careers to underrepresented students?

How do you identify underrepresented students who may have potential or interest in STEM careers?

What barriers do you face in promoting STEM careers to underrepresented students?

What school and community factors influence your ability to support underrepresented students’ STEM career aspirations and interests?

How do you prepare underrepresented students for postsecondary opportunities in STEM?

What do you wish was different about how you support underrepresented students’ STEM career interests and aspirations?

How has the COVID-19 pandemic impacted your role in supporting underrepresented students’ STEM career aspirations and interests?

 

The authors would like to thank and acknowledge the Virginia Counseling Association Foundation; and Lexi Caliendo and Kirsten Nozime for their feedback, which improved the quality of this study. Autumn L. Cabell, PhD, NCC, LPC, CCC, CCTP, is an assistant professor at DePaul University. Dana Brookover, PhD, NCC, is an assistant professor at the University of Scranton. Amber Livingston, MEd, is a doctoral student at Virginia Commonwealth University. Ila Cartwright, MEd, is a doctoral student at Virginia Commonwealth University. Correspondence may be addressed to Autumn L. Cabell, DePaul University, 2247 N Halsted St., Rm. 246, Chicago, IL 60614, acabell@depaul.edu.

A Mixed Methods Evaluation of the “Aged-Up” STAC Bullying Bystander Intervention for High School Students

April D. Johnston, Aida Midgett, Diana M. Doumas, Steve Moody

This mixed methods study assessed the appropriateness of an “aged-up,” brief bullying bystander intervention (STAC) and explored the lived experiences of high school students trained in the program. Quantitative results included an increase in knowledge and confidence to intervene in bullying situations, awareness of bullying, and use of the STAC strategies. Utilizing the consensual qualitative research methodology, we found students spoke about (a) increased awareness of bullying situations, leading to a heightened sense of responsibility to act; (b) a sense of empowerment to take action, resulting in positive feelings; (c) fears related to intervening in bullying situations; and (d) the natural fit of the intervention strategies. Implications for counselors include the role of the school counselor in program implementation and training school staff to support student “defenders,” as well as how counselors in other settings can work with clients to learn the STAC strategies through psychoeducation and skills practice.

Keywords: bullying, bystander intervention, consensual qualitative research (CQR), high school, mixed methods

Researchers have defined bullying as “when one or more students tease, threaten, spread rumors about, hit, shove, or hurt another student over and over again” (Centers for Disease Control & Prevention [CDCP], 2017, p. 7). Bullying includes verbal, physical, or relational aggression, as it often occurs through the use of technology (e.g., cyberbullying). National statistics indicate approximately 20.5% of high school students are victims of bullying at school and 15.8% are victims of cyberbullying (CDCP, National Center for Injury Prevention and Control, 2016). Although school bullying peaks in middle school, it remains a significant problem at the high school level, with the highest rates of cyberbullying reported by high school seniors (18.7%; U.S. Department of Education, National Center for Education Statistics, 2016).

There are wide-ranging negative consequences experienced by students who are exposed to bullying as either a target or bystander (Bauman, Toomey, & Walker, 2013; Doumas, Midgett, & Johnston, 2017; Hertz, Everett Jones, Barrios, David-Ferdon, & Holt, 2015; Rivers & Noret, 2013; Rivers, Poteat, Noret, & Ashurst, 2009; Smalley, Warren, & Barefoot, 2017). High school students who are targets of bullying report higher levels of risky health behaviors, including physical inactivity, less sleep, risky sexual practices (Hertz et al., 2015), elevated substance use (Doumas et al., 2017; Smalley et al., 2017), and higher levels of depression and suicidal ideation (Bauman et al., 2013; Smalley et al., 2017). Adolescents who observe bullying as bystanders also report associated negative consequences, and, in some instances, report more problems than students who are directly involved in bullying situations (Rivers & Noret, 2013; Rivers et al., 2009). Specifically, bystanders have been found to be at higher risk for substance abuse and overall mental health concerns than students who are targets (Rivers et al., 2009). Bystanders also are significantly more likely to report symptoms of helplessness and potential suicidal ideation compared to students not involved in bullying (Rivers & Noret, 2013). Furthermore, although bystanders are often successful when they intervene on behalf of targets of bullying (Gage, Prykanowski, & Larson, 2014), bystanders usually do not intervene because they do not know what to do (Forsberg, Thornberg, & Samuelsson, 2014; Hutchinson, 2012). Failure to respond to observed bullying leads to feelings of guilt (Hutchinson, 2012) and coping through moral disengagement (Forsberg et al., 2014). Thus, there is a need to train bystanders to intervene to both reduce bullying and buffer bystanders from the negative consequences associated with observing bullying without acting.

To address the negative effects that can result from being exposed to bullying, researchers have developed numerous bullying prevention and intervention programs for implementation within the school setting. Many of these programs are comprehensive, school-wide interventions (Polanin, Espelage, & Pigott, 2012; Ttofi, Farrington, Lösel, & Loeber, 2011). However, findings indicate these programs are most effective for students in middle and elementary school (Yeager, Fong, Lee, & Espelage, 2015). Additionally, a recent meta-analysis indicates that bystander intervention is an important component of bullying intervention; however, few comprehensive programs include a bystander component (Polanin et al., 2012). Further, those programs that do include a bystander component have been normed on children within the context of the classroom setting (Salmivalli, 2010). High school students experience greater independence at school, with less adult supervision in the hallways and at lunch, and move to different classroom locations throughout the day. Thus, there is a need for effective bullying bystander programs and interventions that have been “aged up” specifically for the high school level (Denny et al., 2015).

The STAC Program

The STAC program is a brief bystander intervention that teaches students who witness bullying to intervene as “defenders” (Midgett, Doumas, Sears, Lundquist, & Hausheer, 2015). The STAC acronym stands for the four bullying intervention strategies taught in the program: “Stealing the Show,” “Turning It Over,” “Accompanying Others,” and “Coaching Compassion.” The second author created the STAC program for the middle and elementary school level with the intention of establishing school counselors as leaders in program implementation. The program includes a 90-minute training with bi-weekly, 15-minute small group follow-up meetings, placing low demands on schools for implementation. Findings from studies conducted at the elementary and middle school level indicate students trained in the STAC program report an increase in knowledge and confidence to intervene as defenders (Midgett et al., 2015; Midgett & Doumas, 2016; Midgett, Doumas, & Trull, 2017), as well as increased use of the STAC strategies (Midgett, Doumas, Trull, & Johnston, 2017). Additionally, research demonstrates students trained in the STAC program report reductions in bullying (Midgett, Doumas, Trull, & Johnson, 2017), as well as increases in self-esteem (Midgett, Doumas, & Trull, 2017) and decreases in anxiety (Midgett, Doumas, Trull, & Johnston, 2017), compared to students in a control group.

Development of the STAC Program for High School

The authors conducted a previous qualitative study to inform the modification of the original STAC program to be appropriate for the high school level (for details, see Midgett, Doumas, Johnston, et al., 2017). Based upon data generated from high school students, the authors “aged up” the STAC program by incorporating the following content into the didactic and role-play components of the training: (a) cyberbullying through social media and texting, (b) group dynamics in bullying, and (c) bullying in dating and romantic relationships. The authors also aged up the program by including developmentally appropriate language (e.g., breaks vs. recess) and content, including common locations where bullying occurs (e.g., school parking lot vs. the school bus) and age-appropriate examples of physical bullying (e.g., covert behaviors such as “shoulder checking,” “backpack checking,” and “tripping” vs. physical fights).

Purpose of the Study

The purpose of this study was to extend the literature by evaluating the appropriateness of the aged-up STAC program for the high school level and to explore the experiences of students trained in the program. Following guidelines suggested by Leech and Onwuegbuzie (2010), the literature review guided the formulation of the study rationale, goal, objectives, and research questions. Despite the need to provide anti-bullying programs to high school students, the majority of bullying intervention research has been conducted with elementary and middle school students (Denny et al., 2015). Although intervening on behalf of students who are targets of bullying is associated with positive outcomes (Hawkins, Pepler, & Craig, 2001), research on bystander intervention programs aged up for high school students is limited. The present authors could find only one program, StandUP, developed specifically for high school students. Results of a pilot study indicated students participating in the 3-session StandUP online program reported an increase in positive bystander behavior and decreases in bullying behavior (Timmons-Mitchell, Levesque, Harris, Flannery, & Falcone, 2016). The research noted several methodological limitations that limit the generalizability and validity of the findings, including a 6.8% response rate, 22% attrition rate with differential attrition by race and bullying status, and the use of a single-group design.

Thus, the goal of this study was to add to the knowledge on bullying interventions for high school students. Our objectives were to (a) examine the influence of the STAC program on knowledge and confidence, awareness of bullying, and use of the STAC strategies, and (b) describe and explore the experience of high school students participating in the STAC intervention. We were interested in answering the following mixed method research questions: (a) Do students trained in the aged-up STAC intervention report an increase in knowledge and confidence to intervene as defenders? (b) Do students trained in the aged-up STAC intervention have an increased awareness of bullying? (c) Do students trained in the aged-up STAC intervention use the STAC strategies to intervene when they observe bullying? and (d) What were high school students’ experiences of participating in the aged-up STAC intervention and using the STAC strategies to intervene in bullying situations?

Methods

Mixed Research Design

A mixed methods design was implemented with a single group of participants who completed the STAC training. We were interested in the influence of the STAC intervention on students’ knowledge and confidence, awareness of bullying, and use of the STAC strategies. An additional interest was to understand students’ experiences of the STAC training. The purpose of selecting a mixed methods design was to maximize interpretation of findings, as mixed methods designs often result in a greater understanding of complex phenomena than either quantitative or qualitative studies can produce alone (Creswell, 2013). Hesse-Biber (2010) also advocates for the convergence of qualitative and quantitative data to enhance and triangulate findings. Following the guidelines described by Leech and Onwuegbuzie (2010), we chose to supplement the quantitative data with qualitative data to investigate the in-depth, lived experiences of high school students trained as defenders in the aged-up STAC program. Our research design was a partially mixed, sequential design (Creswell, 2009; Leech & Onwuegbuzie, 2010). The quantitative design was a single-group repeated-measures design and the qualitative component included consensual qualitative research (CQR; Hill et al., 2005).

Participants

Our sampling design was sequential-identical (Leech & Onwuegbuzie, 2010), with the same participants completing surveys followed by focus groups. The sample consisted of 22 students
(n = 15 females [68.2%]; n = 7 males [31.8%]) recruited from a public high school via stratified random sampling in the Northwestern region of the United States. Participants ranged in age from 15–18 years old (M = 16.82 and SD = 0.91), with reported racial backgrounds of 59.1% White, 18.2% Asian, 13.6% Hispanic, and 9.1% African American. Of the 22 participants trained in the STAC program, 100% participated in follow-up focus groups and follow-up data collection.

Procedures

The current study was completed as part of a larger study designed to develop and test the effectiveness of the aged-up STAC intervention. Following institutional research board approval, the researchers randomly selected 200 students using stratified proportionate sampling and then obtained parental consent and student assent from 57 students, for a response rate of 28.5%. The current sample consists of the 22 students who participated in the STAC intervention. The recruiting team included school counselors, a doctoral student, and master’s students. A team member met briefly with students selected to discuss the project and provided an informed consent form to be signed by a parent or guardian. A team member met with students with parental consent to explain the research in greater detail and to obtain student assent. Researchers trained participants in the 90-minute aged-up STAC program and then conducted two 15-minute bi-weekly follow-up meetings for 30 days following the training. Students completed baseline, post-training, and 30-day follow-up surveys. Six weeks after the STAC training, team members conducted three 45-minute open-ended, semi-structured focus groups to investigate students’ experiences being trained as defenders in the aged-up STAC program. Researchers audio recorded the focus groups for transcription purposes. The team provided pizza to students after the follow-up survey and at the end of each focus group. The university and school district review boards approved all research procedures.

Measures

Knowledge and Confidence to Intervene. The Student-Advocates Pre- and Post-Scale (SAPPS; Midgett et al., 2015) was used to measure knowledge of bullying, knowledge of the STAC strategies, and confidence to intervene. The questionnaire is comprised of 11 items that measure student knowledge of bullying behaviors, knowledge of the STAC strategies, and confidence intervening in bullying situations. Examples of items include: “I know what verbal bullying looks like,” “I know how to use humor to get attention away from the student being bullied,” and “I feel confident in my ability to do something helpful to decrease bullying at my school.” Items are rated on a 4-point Likert scale ranging from 1 (I totally disagree) to 4 (I totally agree). Items are summed to create a total scale score. The SAPPS has established content validity and adequate internal consistency with Cronbach’s alpha ranging from .75–.81 (Midgett et al., 2015; Midgett & Doumas, 2016; Midgett, Doumas, & Trull, 2017; Midgett, Doumas, Trull, & Johnston, 2017). Cronbach’s alpha was .83 for this sample.

Awareness of Bullying. Awareness of bullying was assessed using one item. Students were asked to respond Yes or No to the following question: “Have you seen bullying at school in the past month?” Prior research has used this question to test the impact of the STAC program on observing and identifying bullying behavior post-training (Midgett, Doumas, Trull, & Johnston, 2017).

Use of STAC Strategies. The use of each STAC strategy was measured by a single item. Students were asked, “How often would you say that you used these strategies to stop bullying in the past month? (a) Stealing the Show—using humor to get the attention away from the bullying situation,
(b) Turning It Over—telling an adult about what you saw, (c) Accompanying Others—reaching out to the student who was the target of bullying, and (d) Coaching Compassion—helping the student who bullied develop empathy for the target.” Items were rated on a 5-point Likert scale ranging from 1 (Never/Almost Never) to 5 (Always/Almost Always). Prior research has used these items to examine use of STAC strategies post-training (Midgett, Doumas, Trull, & Johnston, 2017).

High School Students’ Experiences. Researchers followed Hill et al.’s (2005) recommendation to develop a semi-structured interview protocol to answer the question, “What were high school students’ experiences of participating in the aged-up STAC intervention and using the STAC strategies to intervene in bullying situations?” Researchers developed questions based on previous qualitative findings with middle school students (Midgett, Moody, Reilly, & Lyter, 2017), quantitative results indicating students trained in the program use the STAC strategies (Midgett, Moody, et al., 2017), and a review of the literature (Jacob & Furgerson, 2012). Researchers asked students the following questions: (1) Can you please talk about the personal values you had before the STAC training that were in line with what you learned during the STAC training? (2) Please share your experience using the STAC strategies (Stealing the Show, Turning It Over, Accompanying Others, and Coaching Compassion), (3) Can you share how using the STAC strategies made you feel about yourself? (4) How did being trained in the STAC program impact your relationships? (5) Can you please talk about your fears related to using the strategies in different bullying situations? and, (6) Overall, what was it like to be trained in the STAC program and use the STAC strategies?

The STAC Intervention

The STAC intervention began with a 90-minute training, which included information about bullying and strategies for intervening in bullying situations (Midgett et al., 2015). Following the training, facilitators met with students twice for 15 minutes throughout the subsequent 30 days to support them as they applied what they learned in the training. During these meetings, researchers reviewed the STAC strategies with students, and asked students about bullying situations they witnessed and whether they utilized a strategy. If students indicated they observed bullying but did not utilize a strategy, researchers helped students brainstorm ways in which they could utilize one of the four STAC strategies in the future.

Didactic Component. The didactic component included icebreaker exercises, an audiovisual presentation, two videos about bullying, and hands-on activities to engage students in the learning process. Students learned about (a) the complex nature of bullying in high school often involving group dynamics rather than single individuals; (b) different types of bullying, with a focus on cyberbullying and covert physical bullying; (c) characteristics of students who bully, including the likelihood they have been bullied themselves, to foster empathy and separate the behavior from the student; (d) negative associated consequences of bullying for students who are targets, perpetrate bullying, and are bystanders; (e) bystander roles and the importance of acting as a defender; and (f) the STAC strategies used for intervening in bullying situations. The four strategies are described below.

Stealing the Show. Stealing the Show involves using humor or distraction to turn students’ attention away from the bullying situation. Trainers teach bystanders to interrupt a bullying situation to displace the peer audience’s attention away from the target (e.g., tell a joke, initiate a conversation with the student who is being bullied, or invite peers to play a group game such as basketball).

Turning It Over. Turning It Over involves informing an adult about the situation and asking for help. During the training, students identify safe adults at school who can help. Students are taught to always “turn it over” if there is physical bullying taking place or if they are unsure as to how to intervene. Trainers also emphasized the importance of documenting evidence in cyberbullying cases by taking a screenshot or picture of the computer or cell phone over time for authorities (i.e., school principal and resource officer) to take action.

Accompanying Others. Accompanying Others involves the bystander reaching out to the student who was targeted to communicate that what happened is not acceptable, that the student who was targeted is not alone, and that the student bystander cares about them. Trainers provide examples of how students can use this strategy either directly, by inviting a student who was targeted to talk about the situation, or indirectly, by approaching a peer after they were targeted and inviting them to go to lunch or spend time with the bystander. This strategy focuses on communicating empathy and support to the student who was targeted.

 Coaching Compassion. Coaching Compassion involves gently confronting the student who bullied either during or after the bullying incident to communicate that his or her behavior is unacceptable. Additionally, the student bystander encourages the student who bullied to consider what it would feel like to be the target in the situation, thereby fostering empathy toward the target. Bystanders are encouraged to implement Coaching Compassion when they have a relationship with the student who bullied or if the student who bullied is in a lower grade and the bystander believes they will respect them.

Role-Plays. Trainers divided students into small groups to practice the STAC strategies through role-plays that included hypothetical bullying situations. The team developed the scenarios based on student feedback on types of bullying that occur in high school, including cyberbullying, romantic relationship issues, and covert physical bullying (Midgett, Doumas, Johnston, Trull, & Miller, 2017). See Appendix A for the STAC scenarios.

Post-Training Groups. STAC training participants met in 15-minute groups with two graduate student trainers twice in the 30 days post-training. In these meetings, students reviewed the STAC strategies, shared which strategies they used, and explained whether they felt the strategies were effective in intervening in bullying. Trainers also addressed questions and supported students in brainstorming other ways to implement the strategies, including combining strategies or working as a group to intervene together.

Data Analysis

Quantitative. The authors used quantitative analyses to test for significant changes in knowledge and confidence and to provide descriptive statistics for frequency of awareness of bullying and the use of the STAC strategies. An a priori power analysis was conducted using the G*Power 3.1.3 program (Faul, Erdfelder, Lang, & Buchner, 2007) for a repeated-measures, within-subjects ANOVA with three time points. Results of the power analysis indicated a sample size of 20 was needed for power of > 0.80 to detect a medium effect size for the main effect of time with an alpha level of .05. Thus, the final sample size of 22 met the needed size to provide adequate power for analyses.
Before conducting primary analyses, all variables were examined for outliers and normality. The authors found no outliers and all variables were within the normal range for skew and kurtosis. To assess changes in knowledge and confidence, we conducted a GLM repeated-measures ANOVA with one independent variable, time (baseline, post-intervention, follow-up), and post-hoc follow-up paired t-tests to examine differences between time points. To evaluate awareness of bullying, we computed descriptive statistics to determine how many participants observed bullying at baseline and follow-up. To evaluate the use of STAC strategies, we computed descriptive statistics to examine the frequency of use of each strategy at the follow-up assessment. The authors used an alpha level of p < .05 to determine statistical significance and used partial eta squared (h2p) as the measure of effect size for the repeated-measures ANOVA and Cohen’s d for paired t-test with magnitude of effects interpreted as follows: small (h2p > .01; d = .20), medium (h2p > .06; d = .50), and large (h2p  > .14; d = .80; Cohen, 1969; Richardson, 2011). All analyses were conducted using SPSS version 24.0.

Qualitative. The authors conducted focus groups and employed CQR methodology to investigate participant experiences (Hill et al., 2005). Specifically, CQR was chosen because it uses elements from phenomenology, grounded theory, and comprehensive process (Hill et al., 2005). CQR is predominantly constructivist with postmodern influence (Hill et al., 2005), which was a good fit for the project as we were interested in students’ experiences being trained in the aged-up STAC program. Furthermore, we selected CQR because it includes semi-structured interviews to promote the exploration of participants’ experiences, while also allowing for spontaneous probes that can uncover related experiences and insights, adding depth to findings (Hill et al., 2005). CQR was well suited for this study because it requires a team of researchers working together to reach consensus analyzing complex data (Hill et al., 2005). Focus groups were chosen because they allow researchers to observe participants’ interactions and shared experiences such as teasing, joking, and anecdotes that can add depth to the findings (Kitzinger, 1995). Focus groups have potential therapeutic benefits for participants, including increasing feelings of self-worth (Powell & Single, 1996) and empowerment (Race, Hotch, & Parker, 1994). Additionally, focus groups can be especially useful when power differentials exist between participants and decision makers (Morgan & Kreuger, 1993).

Three team members (the first and second authors and a master’s in counseling student) employed the CQR methodology to analyze the data. After the data transcription, each member worked individually to identify domains and core ideas prior to meeting as a group. The team met three times in the next month to achieve consensus. Researchers relied on participant quotations to resolve disagreements, to cross-analyze the data, and to move into more abstract levels of analysis (Hill et al., 2005). The team labeled domains as general (typical of all but one participant or all participants), typical (more than half of participants), and variant (at least two participants; Hill et al., 2005). An external auditor analyzed the data separately, utilizing NVivo qualitative analysis software (Version 10; 2012), and reported similar findings with the exception of a minor modification to one domain, which the team incorporated into final findings. Next, the researchers conducted member checks (Lincoln & Guba, 1985) by emailing all participants with an overview of the findings. All participants who responded agreed the findings were an accurate representation of their experience.

Strategies for Trustworthiness. As recommended by Hays, Wood, Dahl, and Kirk-Jenkins (2016), we used multiple strategies to strengthen the trustworthiness of the study. First, our process was reflexive with continuous awareness of expectations and biases. Prior to conducting focus groups, we discussed and wrote memos about our expectations and biases (Creswell, 2013). To triangulate data, all three analysts were involved throughout the process and in comparing findings among the team. An external auditor was included to provide oversight and increase credibility of findings. Once all researchers reached agreement about major findings, we elicited participant feedback to increase credibility and confirmability of our findings (Lincoln & Guba, 1985).

Findings

Knowledge and Confidence

The researchers examined changes in knowledge and confidence across three time points (baseline, post-intervention, and follow-up). Results indicated a significant main effect for time: Wilks’ Lambda = .31, F (2, 20) = 6.85, p < .000, h2p = .31. Follow-up paired t-tests indicated a significant difference in knowledge and confidence between baseline (M = 35.68, SD = 4.35) and post-intervention (M = 40.64, SD =3.11), t(21) = -6.52, p < .001, Cohen’s d = -1.46; and between baseline (M = 35.68, SD = 4.35) and 30-day follow-up (M = 40.68, SD = 4.10), t(21) = -4.96, p < .001, Cohen’s d = -1.06; but not between post-intervention (M = 40.64, SD = 3.11) and 30-day follow-up (M = 40.68, SD = 4.10), t(21) = -0.05, p = .96, Cohen’s d = -.01. Findings indicate students reported an increase in knowledge and confidence from baseline to post-intervention, and this increase was sustained at the 30-day follow-up.

Awareness of Bullying

The researchers examined rates of observing bullying at baseline and at the 30-day follow-up to determine if students became more aware of bullying after being trained in the STAC program. Rates of observing bullying increased from 54.5% to 63.6%, indicating that the STAC program raised awareness of bullying.

Use of the STAC Strategies

The researchers examined how frequently students in the intervention group used the STAC strategies at the 30-day follow-up. Among students who reported witnessing bullying (63.6%, n = 14), 100% indicated using one or more STAC strategies in the past month. Specifically, 64.3% reported using Stealing the Show, 42.9% reported using Turning It Over, 100% reported using Accompany Others, and 85.7% reported using Coaching Compassion.

Qualitative

Through CQR analysis, the team agreed on four domains with supporting core ideas. All of the domains below are general or typical and endorsed by participants via member checks.

Domain 1: Awareness and Sense of Responsibility. Participants (n = 8; 57%) talked about the STAC program enhancing their awareness of bullying behavior and increasing their sense of responsibility to act. Students spoke about some types of bullying being difficult to recognize and that the STAC training helped them become more aware of covert bullying situations. One participant gave an example about being able to recognize types of bullying that can often be overlooked. The student shared, “People look like they’re joking around and you . . . ignore it, but now it’s like they’re not [joking]. You can tell a little bit. I think . . . [the STAC program] brought . . . [awareness] out in us.” Students also talked about their experience being able to recognize different types of bullying and being equipped to intervene, as well as becoming aware that their actions can have an impact on others. One participant shared that “learning the different ways you can address . . . [bullying] also helps you realize the different forms it happens in, so it makes you value being aware of what’s going on and how your own actions affect other people.” Another student also spoke about the connection between being trained to act as a defender and a newfound sense of responsibility and shared that after STAC training, “there’s not really a reason to say that you don’t want to [get involved] because you’re scared, because you know what’s happening to the person is wrong and if you can change it, you should.” Another participant stated that “there’s some others that don’t have this training, so we’re the ones that should be stepping in if we see it. Everyone should, but . . . we know what to do.”

Domain 2: Empowerment and Positive Feelings. Participants (n = 9; 64%) spoke about a sense of empowerment and associated positive feelings that came from using the STAC strategies to intervene in bullying situations. For example, one participant stated, “It makes you feel a little bit more empowered because you realize you actually can make a difference in someone else’s life or in the whole community at your school or community in general.” Students also talked about the STAC program empowering them to make decisions about their friendships. A participant shared, “I actually told some people I didn’t want to talk to them or be friends with them [because] I can’t be around someone who is making fun of people with disabilities. . . . So, it changed the way I picked my friends.” Some students talked about the association between a sense of empowerment to make a difference in a bullying situation and feeling good about themselves and helping other students. A student said, “I feel like it made us feel good, like we made a positive difference in some way regarding the person that’s being bullied. So it makes it feel like we did something good, like a good deed.” Another student shared, “Somebody actually went to talk to him [ethnic minority student who was bullied] . . . and that was me. It was good to see him happy after he was feeling sad.”

Domain 3: Fears. Almost all participants (n = 12; 86%) spoke about how acting as a defender elicited fears related to judgment from peers or creating tension with friends. For example, one student shared, “I have a fear of being judged, which is kind of the thing of bullying. So, I try not to be so active with people at school.” Another participant also talked about fears related to peer judgment and creating tension with friends when utilizing the STAC strategy Accompanying Others by having lunch with a student who was a target of bullying. The student said, “It’s a social fear, or like ‘why are you hanging out with them?’ . . . and it’s kind of tense between you and your other friends because you brought this person that they didn’t want.” Students also talked about fears of making a situation worse. In particular, participants spoke about fears about reporting bullying situations to adults by using the STAC strategy Turning It Over. For example, one participant stated, “When you get teachers involved or your parents . . . [bullying] kind of . . . escalates . . . a lot of kids will avoid going to adults if they can until it gets physical.” However, most participants were encouraged to act despite their fears, and many discovered that the STAC program allowed them to overcome their fears. One participant stated, “I think starting out my biggest fear was that [using STAC strategies] wasn’t going to do anything, that nothing was going to change, but it really did, and I was pretty shocked that I had a positive effect on people.”

Domain 4: Natural Fit of STAC Strategies and Being Equipped to Intervene. Many participants (n = 10; 71%) indicated the STAC strategies were a natural fit and equipped them with tools to intervene when they witnessed bullying. For example, one student shared, “Stealing the Show [was a natural fit]. I think it happened during accelerated PE. Someone was making fun of someone’s bench max, and I could tell the person was uncomfortable, so I just made a joke or something and changed the subject.” Another participant spoke about Coaching Compassion: “It’s probably one of my favorite ones because it actually does something in the moment, [and] it actually taught me how I can put out the effort without feeling uncomfortable when doing it.” Further, participants shared that implementing the strategies increased their knowledge and confidence to intervene. For example, one participant shared, “You know when to use them [the strategies] and when it’s not necessary and how far you should go when using them.” The strategies seemed to successfully meet participants at their level of understanding and equip them with more structure and guidance to intervene more confidently and consistently.

Discussion

The purpose of this study was to investigate the appropriateness of the aged-up STAC program for the high school level and to explore the experiences of high school students trained in the program. Quantitative data indicated students trained in the aged-up program reported an increase in knowledge and confidence to intervene and an increase in awareness of bullying, and also reported using the STAC strategies when they observed bullying at school. Qualitative data enhanced the interpretation of quantitative findings, depicting students’ experiences being trained in the program and using the STAC strategies.

Findings indicate that participating in the STAC training was associated with an increased awareness and sense of responsibility. Reported rates of observing bullying increased from baseline to the 30-day follow-up (54.5% to 63.6%). These findings are consistent with research showing students trained in the STAC program report increased awareness of bullying behavior (Midgett, Doumas, Trull, & Johnston, 2017). Further, students indicated that once they became aware of covert bullying, they felt responsible to intervene. One explanation for this finding is that participating in the training leads to an increase in awareness of bullying situations, which promotes a sense of responsibility to act. This explanation is consistent with research suggesting that awareness of negative consequences to others leads to an increase in feelings of personal responsibility, which in turn, leads to action (de Groot & Steg, 2009).

Our data also revealed that the STAC training was associated with an increase in knowledge and confidence and a sense of empowerment associated with positive feelings and changes in friendships. These findings are consistent with research showing that when students intervene in bullying situations they feel a sense of congruence, a positive sense of self (Midgett, Moody, et al., 2017), and a sense of well-being (Schwartz, Keyl, Marcum, & Bode, 2009). Researchers also have shown that when bystanders do not intervene, the lack of action leads to guilt (Hutchinson, 2012) and moral disengagement (Forsberg et al., 2014). Further, researchers have found that students have a desire to belong to a peer group with similar values in “defending” behaviors as their own (Sijtsema, Rambaran, Caravita, & Gini, 2014). Thus, it is possible that the confidence and positive feelings associated with being trained to act as defenders extended to feeling empowered to disengage from peers who do not intervene on behalf of targets of bullying.

Results indicated students used Turning It Over the least frequently among the strategies, with only 49% of students using this strategy. This finding is in direct contrast to research with middle school students suggesting Turning It Over is used by 91% of students (Midgett, Doumas, Trull, & Johnston, 2017). Qualitative data revealed that students felt fearful about intervening; specifically, students talked about being afraid that Turning It Over to an adult would make the situation worse. This finding parallels research suggesting that high school students believe adults at school do not handle bullying effectively (Midgett, Doumas, Johnston, et al., 2017) and that when they report bullying to teachers, the situation either remains the same or worsens (Fekkes, Pijpers, & Verloove-Vanhorick, 2005). Coupled with research indicating students are more likely to report bullying when they believe their teachers will act (Cortes & Kochenderfer-Ladd, 2014) and will be effective in intervening (Veenstra, Lindenberg, Huitsing, Sainio, & Salmivalli, 2014), our findings suggest it may be useful to provide teachers with knowledge and skills so that they may effectively support students who report bullying.

Finally, findings indicated that 100% of students who witnessed bullying post-training used at least one STAC strategy and that students experienced the STAC strategies as a natural fit and felt equipped with tools to act in bullying situations. These findings are consistent with prior research indicating students trained in the STAC program report using the strategies (Midgett, Moody, et al., 2017; Midgett, Doumas, Trull, & Johnston, 2017). The most frequently used strategies were Accompanying Others and Coaching Compassion, used by 100% and 85.7% of students, respectively. One explanation for these two strategies being the most natural fit for students is that the formation of peer relationships is an important developmental priority for adolescents (Wang & Eccles, 2012). Accompanying Others allows students to foster relationships in a way that feels natural and altruistic. Also, as adolescents mature emotionally and their ability to empathize grows (Allemand, Steiger, & Fend, 2015), Coaching Compassion can encourage bystanders and students who bully to develop empathy toward targets.

Limitations and Future Research

Although this study contributes to the literature regarding developmentally appropriate bullying interventions for high school students, several limitations must be considered. First, because of our small sample size and lack of control group, we cannot make causal attributions or generalize our findings to the larger high school student population. Although we enhanced the significance of our findings with a mixed methods design, there is a need for future studies investigating the efficacy of the aged-up STAC program through a randomized controlled trial. Further, since our study was intended as a first step in the development of an age-appropriate program for high school, we did not assess decreases in bullying victimization or perpetration. Therefore, future randomized controlled trial studies should include these outcome variables. Another limitation is related to the measures used. Specifically, both awareness of bullying and use of each STAC strategy were measured by a single item, which can result in decreased reliability. Further, although the developers constructed the items to have face validity, there are no studies investigating the psychometric properties of these items in measuring awareness of bullying or use of the STAC strategies. Additionally, our quantitative and qualitative findings were based on self-report data. It is possible that students’ responses were influenced by their desire to please the researchers, especially within the context of the focus groups. Thus, including objective measures of observable defending behaviors would strengthen the findings.

Practical Implications

Our findings provide important implications for counselors in both school and other settings. First, high school counselors can implement aged-up bullying intervention programs such as the STAC program. High school counselors can find encouragement in our findings indicating high school students are invested in helping reduce school bullying and that being trained to intervene can be associated with increased awareness and sense of responsibility. Further, findings suggest it might be helpful for school counselors to provide students trained in the program with an opportunity to meet in small groups to foster friendships with peers who are committed to acting as defenders.

Results also suggest that high school students believe reporting bullying to adults may not be an effective strategy. School counselors are well positioned as student advocates to establish anonymous reporting procedures to counteract potential student fears related to being negatively perceived when they report bullying to adults. In all bullying intervention efforts, school counselors should coordinate with administration to ensure success. School counselors can facilitate teacher and staff development to help them understand students’ fears related to reporting bullying and provide teachers with necessary tools to help students who report bullying to them. Additionally, although a teacher training would increase the required time and resources needed to implement the STAC program, it may be an important addition at the high school level. In this module, school counselors could educate teachers about bullying and the STAC strategies so that teachers could reinforce the strategies with students. The training would emphasize Turning It Over, explaining to teachers their important role in helping student bystanders intervene when they observe bullying.

Lastly, this study also has implications for counselors working with adolescents outside the school setting. There are negative associated consequences to witnessing bullying as a bystander (Rivers & Noret, 2013; Rivers et al., 2009). In addition, adolescents report not knowing how to intervene on behalf of targets (Forsberg et al., 2014; Hutchinson, 2012), which can lead to feelings of guilt (Hutchinson, 2012). Thus, counselors can empower clients to act as defenders by providing psychoeducation regarding the STAC strategies. They can focus on strategies that clients feel are a natural fit as a starting point. Counselors can encourage clients to share bullying situations they most commonly observe at school and invite clients to talk through how they could use a favorite STAC strategy.

Bullying is a significant problem among high school students. This study provided support for the aged-up STAC intervention as an anti-bullying approach that is appropriate for high school students. Specifically, the STAC program helped students be more aware of bullying, feel a stronger sense of responsibility to intervene, and feel empowered to use the STAC strategies.


Conflict of Interest and Funding Disclosure

The authors received internal funding for this project from a College of Education Seed Grant from Boise State University.

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Appendix A

Aged-Up STAC Scenarios

Scenario 1

In the PE locker room, you overhear some girls talking about another girl who is going through a break-up. You hear them call her a “loser” (and some other hurtful names) and gossip about the reasons she and her boyfriend broke up. They also talk about how the girl is not skinny or pretty enough to date the guy.

Scenario 2

For a few weeks during break, you have noticed a group of students stand in the middle of the hallway and “shoulder check” another student as he tries to walk by to get to his next class on the other side of the school. Today, the student is tripped by one of the students standing with a group and something he was carrying was damaged.

Scenario 3

Your friends are hanging out at your house after school, looking through Twitter. One friend decided to follow a girl from school that they do not like and then repost one of her posts making fun of her in a humiliating way. This is not the first time your friend has done something like this.

Scenario 4

You are in the parking lot and suddenly you hear yelling coming from a car that is trying to pull out of a parking spot. You see a guy yelling at his girlfriend that she can’t go to lunch with a certain friend because he saw the text messages they sent last night. You know this happens a lot with this guy, and you’ve been concerned for a while.

 

April D. Johnston is a doctoral student at Boise State University. Aida Midgett is an associate professor at Boise State University.  Diana M. Doumas is a professor at Boise State University. Steve Moody, NCC, is an assistant professor at Idaho State University.  Correspondence can be addressed to April Johnston, 1910 University Blvd, Boise, ID 83725, aprilwatts@u.boisestate.edu.

 

High School Predictors of College Persistence: The Significance of Engagement and Teacher Interaction

Daniel T. Sciarra, Holly J. Seirup, Elizabeth Sposato

Over the past few decades there has been a dramatic paradigm shift in both focus and attitude among postsecondary institutions regarding the importance of student persistence, retention and academic success (Hu, 2011; Kuh, Kinzie, Buckley, Bridges, & Hayek, 2007), in contrast to the past where an institution’s prestige was tied to its ability to exclude students (Coley & Coley, 2010). U.S. News and World Report solidified this sea change, as its report of college rankings now includes retention and graduation rates as a measure of institutional quality (Morse, 2015). In addition, colleges and universities are under increased pressure from public policymakers to improve retention and graduation rates (Hossler, Ziskin, & Gross, 2009). The matter of college graduation rates and persistence has in fact taken on national prominence. In a speech at the University of Texas at Austin, President Obama (2010) commented that over a third of America’s college students and over half of our minority students don’t earn a degree even after six years. So we don’t just need to open the doors of college to more Americans; we need to make sure they stick with it through graduation. (Obama, 2010, para. 34)

The importance of completing a college degree has been magnified because of the high correlation with economic self-sufficiency and responsible citizenship (Kuh, Cruce, Shoup, Kinzie, & Gonyea, 2008). In this regard, the college degree has come to replace the high school diploma.

Students, parents, high school counselors and college counselors expend much time and energy on the college admissions process with high expectations that the student will be successful and persist (Seirup & Rose, 2011). Yet, the statistics regarding college persistence are surprisingly low, while the cost of attrition to the student, the college and the community is quite high. Forty-one percent of students who begin their college careers at a four-year college will not graduate within six years (U.S. Department of Education, 2013), while 35% will drop out completely (Tinto, 2004). The costs associated with students dropping out of college are sobering and impact multiple stakeholders who would potentially benefit from individuals who persisted and graduated from college. The American Institutes for Research (2010) found that the cost of students dropping out of their first year of college is more than nine billion dollars in state and federal funds. For individual students, the average debt is currently $29,000. More problematic is that those who drop out do not have the requisite economic and employment opportunities needed to repay those loans and therefore are four times more likely to default (Casselman, 2012). There also are the additional costs associated to the colleges and universities that need to provide redundant and remedial courses. Amos (2006) found that it costs $1.4 billion to provide remedial education to students who have recently completed high school. Finally, there are the costs to individuals who leave college without achieving their goals and are thus robbed of important opportunities to learn and benefit from that education after college (Hossler et al., 2009).

Prior Research on College Persistence

Based on the seminal work of authors such as Tinto (1975, 1987, 1993), Astin (1984, 1993), Kuh (2007), and Hu (2011), colleges and universities have begun to study factors that impact college persistence and, consequently, to develop and initiate programs to support student success, transition and persistence/retention. Tinto (1975) is perhaps the most recognized for work regarding college persistence. His original model focused on the impact of students’ academic and social integration on the decision to persist but was later revised to focus more on the issues of separation from the home environment and culture, transition from high school to college, and incorporation into the campus community (Tinto, 1987). Tinto (1993) introduced a model of student departure where he addressed the fact that different groups of students (e.g., first generation, at-risk, adults) and different institutions (e.g., public, private, residential) required different retention programs and support services to support student persistence. For example, pre-entry attributes such as family background, skills and abilities, and prior schooling are included in this latest model, yet the main focus of the model is student integration and engagement at the postsecondary institution. Tinto (1993) found that students enter college with certain traits, experiences and intentions that are subsequently and continually modified and reformulated as a result of interactions between the individual and members of the institution’s academic and social systems.

Astin (1993) found that student persistence was positively linked to involvement in academic and social activities along with interaction with faculty and peers. Kuh et al. (2007) found that most persistence and retention models included the following variables: (a) student background characteristics including pre-college academic and other experiences; (b) structural characteristics of institutions such as mission, size and selectivity; (c) interactions with faculty, staff members, and peers; (d) student perceptions of the learning environment; and (e) the quality of effort students devote to educational activities. Pascarella and Terenzini (2005) found the main variables that impact college persistence were: (a) academic performance as measured by grades, particularly those in the first semester/year; (b) academic support programs (e.g., developmental studies, remedial programs, supplemental instruction, instruction in non-academic support skills such as study skills and time management, first-year seminars, academic advising, counseling, and undergraduate research programs); (c) financial aid (the impact and importance of grants, scholarships, and loans and how these things often impact a student’s decision and need to work by reducing the economic obstacles one may face when deciding to persist); (d) interaction with faculty (the perception that faculty are available outside of the classroom positively impacts student persistence); (e) interaction with peers; (f) residence (overall, living on campus positively impacts persistence); (g) learning communities that promote both academic and social interaction; (h) academic major; and (i) social interaction in the form of extracurricular and social involvement. Pascarella and Terenzini (2005) further noted that the degree of integration into campus social systems had positive net effects on persistence and ultimately degree attainment, while involvement in extracurricular activities and the extent and quality of students’ peer interactions were particularly influential.

Current literature on college persistence continues to be based upon the work and models of Tinto, Astin and Kuh but has also focused on the impact of race and ethnicity (Arbona & Nora, 2007; Lundberg & Schreiner, 2004), finding that key variables on persistence are consistent with prior research. Lundberg and Schreiner (2004) found that “satisfying relationships with faculty members and frequent interaction with faculty members, especially those that encouraged students to work harder were strong predictors of learning across every racial group” (p. 559). Arbona and Nora (2007) supported prior findings that academic integration and engagement are significant predictors of persistence for Hispanic students as well.

Currently, a public outcry exists for colleges and universities to be more accountable in supporting students’ persistence to graduation (Nelson, 2012; U.S. Department of Education, 2006). The response to this outcry and the research on college persistence and academic success has been the implementation of initiatives to support students’ transitions from high school to college. These initiatives appear to focus on pre-admission/pre-college attributes such as family background, socioeconomic status and academic performance measured by high school GPA, SAT and ACT scores. Examples of such initiatives include enhanced orientation programs, freshman seminars, living-learning communities and housing options. The resulting outcome data from the successful implementation of these types of support initiatives have yielded increases in retention rates (Barefoot, 2004). Higher education institutions have therefore come to realize the important role the first year, and even the first few weeks, of college may play in a student’s decision to persist.

The above review indicates a clear identification of factors on the college level that impact persistence. Little is known, however, about whether these factors on the high school level can impact college persistence. If such factors could be identified, then counselors who work with pre-college adolescents could increase a student’s chances of persisting in college by developing and strengthening these factors.

While in the academic realm it seems clear that the intensity of the high school curriculum and GPA are predictive of academic success in college (Adelman, 2006; Kuh, et.al., 2008; Sciarra, 2010; Sciarra & Whitson, 2007; Trusty & Niles, 2003), less is known about the predictive effect upon persistence of other high school experiences and skills such as engagement in extracurricular activities, interaction with faculty, amount of time spent studying and doing homework, time doing paid and volunteer work, and the amount of social and academic support. Research (e.g., Kuh, 2007) has shown these factors in college to have a relationship to persistence; yet little if any research has shown whether such factors in high school are predictive of college persistence. This study seeks to answer the following question: Do the same factors at the college level that have a relationship to persistence also have a predictive value for persistence when measured at the high school level?

Method

The study used data from the three waves of ELS (U.S. Department of Education, 2008). ELS included a base year of 10th graders in 2002 followed by two subsequent waves that took place in 2004 and 2006. The base year of ELS comprised a nationally representative probability sample of 15,362 10th graders. A second wave of data in 2004 came from the same base-year participants in their senior year, and a third wave in 2006 came 2 years after scheduled graduation (Sciarra & Ambrosino, 2011). The base year of ELS employed a two-stage sample selection process. Schools were chosen with probability proportional to school size, and size was a composite measure based on school enrollment by race and ethnicity. There were 1,221 eligible public, Catholic and other private schools. Of these, 752 agreed to participate and were asked to provide sophomore enrollment lists. To deal with non-response bias, ELS conducted analyses in conjunction with weighting adjustment to reduce but not completely eliminate all bias. In the second step of sample selection, 26 students were selected from these lists using a stratified systematic sampling of students selected on a flow basis (Ingels et al., 2007). To provide non-academic data, participants completed paper-and-pencil, self-administered questionnaires usually done in the school setting. The ELS Web site provides actual copies of the questionnaires.

Participants

Participants included students who participated in all three waves (2002, 2004 and 2006) of ELS (U.S. Department of Education, 2008) and who enrolled in either a two-year or four-year institution upon graduation from high school. The enrollment condition was necessary since the study is an investigation into those who persisted in college versus those who did not. This resulted in a final N of 7,271. Participants also included sophomore math and English teachers. The student participants were 54% female and 46% male. Their ethnic identification was 1% Native American, 5% Asian, 15% African American, 13% Latino, 62% White, and 4% Multiracial. Since not all of the originally selected schools participated in the study’s three waves, the data were weighted to adjust for this and for probabilities that were unequal in the selection of schools and students (Ingels, Pratt, Rogers, Siegel, & Stutts, 2005). There are two main steps in the weighting process. First is the calculation of unadjusted weights as the inverse of the probabilities of selection; second, these weights are adjusted to compensate for non-response (Curtin, Ingels, Wu, & Heuer, 2002) and result in a relative weight derived by dividing the panel weight of the data base by the average weight of the sample.

Variables

The study employed a total of nine predictor variables, seven categorical and two interval.

Categorical variables. Four of the categorical variables were yes/no questions, two of which were teacher-reported. Both the student’s math and English teachers were asked: “Does this student talk with you outside of class about school work, plans for after high school or personal matters?” ELS limits its survey to only the math and English teachers. Another yes/no question included asking the students if they had gone to the school counselor for college entrance information, and the fourth asked the students whether they had performed any unpaid, volunteer, community service work during the past two years. The remaining three variables were the result of categorizing the number of hours spent weekly working at a job, doing homework and performing extracurricular activities. As regards to hours worked at a job, the original 10-category variable was collapsed into four categories: “none,” “low” (1 to 10 hours per week), “moderate” (11 to 20 hours per week), and “high” (21 or more hours per week). Hours spent weekly doing homework in or out of school were categorized as “very low” (none to less than 1 hour), “low” (1 to 6 hours), “moderate” (7 to 15 hours), and “high” (16 or more hours). Time spent weekly in extracurricular activities was categorized as “none,” “low” (less than 1 hour to 4 hours), “moderate” (5 to 14 hours), and “high” (15 or more hours). The two teacher-reported variables were from sophomore year, while the rest were asked of students in their senior year.

Interval variables. Created from individual items in the database, the study employed two composite, interval variables: academic and social support. These variables were selected based upon the research of Pascarella and Terenzini (2005), Kuh (2007), and Hu (2011) who identified these constructs as being integral to a student’s success in higher education. The academic support variable was composed of three Likert-scaled items: (1) “Among your close friends, how important is it to them that they study?”; (2) “Among your close friends, how important is it that they finish high school?”; and (3) “Among your close friends, how important is it that they continue their education past high school?” Cronbach’s alpha for the academic support scale was .72. The social support variable was also composed of three Likert-scaled items: (1) “Among your close friends, how important is it that they get together with friends?”; (2) “Among your close friends, how important is it that they go to parties?”; and (3) “How important is it to you to have strong friendships in your life?” Cronbach’s alpha for the social support scale was .49. All questions were asked of students in their sophomore year of high school and had three choices for answers: (1) not important, (2) somewhat important and (3) very important. Higher scores represented greater socialization.

Criterion variable. The criterion variable measured student status 2 years after scheduled graduation and had three categories: (1) leaver (enrolled after high school but not enrolled in January of 2006), (2) still enrolled in a two-year institution, and (3) still enrolled in a four-year institution. This same criterion variable with four categories was used in a previous study (Sciarra & Ambrosino, 2011).

Data Analysis

Since the criterion variable has three categories (leaver, still enrolled in a two-year institution, still enrolled in a four-year institution), the appropriate method for analysis is a multinomial logistic regression (MLR; Norusis, 2004). The MLR models the relationship between a categorical criterion variable and predictor variables (Menard, 2010; Norusis, 2004; Pampel, 2000). In MLR, the effect size results from the odds ratios for each predictor. Odds ratios are ratios of the probability of being in a particular group compared to being in the baseline or reference group (Sciarra & Ambrosino, 2011). In the present analysis, the reference group was the first category (leaver), to which the other groups were compared along the predictor variables. Unlike linear regression, MLR employs categorical variables and cannot rely on traditional transformation methods to deal with missing data. The SPSS default position was employed, which excludes all cases with missing values on any of the independent variables. The analysis, more theory-testing than exploratory, utilized the forced entry method where all predictors are entered at the same time into the regression equation. In large data sets, there is a danger of overdispersion. To check for this, a dispersion parameter was calculated by dividing the Pearson chi square goodness of fit by the degrees of freedom, which equaled 1.23. While any parameter greater than 1 indicates the presence of overdispersion, only a parameter approaching or greater than 2 suggests a problem (Field, 2009).

Results

The original MLR model had nine predictor variables (academic support, social support, talks with math teacher outside of class, talks with English teacher outside of class, has gone to counselor for college entrance information, performed volunteer/community service work, number of hours spent weekly on working, homework and extracurricular activities). From the sample of 7,271 who participated in all three waves (2002, 2004 and 2006) of ELS (U.S. Department of Education, 2008) and who enrolled in either a two-year or four-year institution upon graduation from high school, academic support [χ2 (2, 3148) =.90, ρ=.64], social support [χ2 (2, 3148) =.59, ρ=.74], talks with English teacher outside of class [χ2 (2, 3148) =1.14, ρ=.57] , has gone to counselor for college entrance information [χ2 (2, 3148) =1.44, ρ=.49], performed community/volunteer service [χ2 (2, 3148) =.63, ρ=.73], and number of hours worked [χ2 (6, 3148) =4.64, ρ=.59] were not significant and therefore were excluded from subsequent analyses.

The revised model included the three remaining variables whose correlations were .066 (hours spent on homework and talks with math teacher outside of class), .00 (number of hours spent on extracurricular activities and talks with math teacher outside of class, and .01 (number of hours spent on homework and number of hours spent on extracurricular activities). Low correlations along with low standard errors (ranging from .06 to .18) among the independents suggest the absence of multicollinearity. Tests for multicollinearity revealed tolerances values and various inflations factors to hover around 1.0, and the highest condition index was 7.9. All observations reveal low risk of multicollinearity (Cohen, Cohen, West, & Aiken, 2013).

For the MLR examining the effects of the three predictor variables, the likelihood ratio test for the overall model revealed that the model was significantly better than the intercept-only model [χ2 (14, 7271) = 594.63, p < .000]. In other words, the null hypothesis (that the regression coefficients of the independent variables are zero) was rejected. Both the Hosmer-Lemeshow test (Hosmer & Lemeshow, 2000) for model deviance [χ2 (48)=59.87, p < .117] and the goodness of fit test [χ2 (48)=58.53, p < .142] failed to reject the null hypothesis, implying that the model’s estimates fit the data at an acceptable level. Furthermore, the likelihood ratio test for individual effects showed that all of the predictor variables were significantly related to the categories of the criterion variable: talks with math teacher, χ2 (2) = 14.94, p < .001; hours of homework, χ2 (6) = 13.50, p < .05; and hours of extracurricular activities, χ2 (6) = 533.65, p < .000. Regarding effect size, the Nagelkerke R2 (Norusis, 2004) in the overall model was .086, considered a medium effect size (Sink & Stroh, 2006). Therefore, the independent variables included in the model explained 8.6% of the variability in college persistence.

Table 1

MLR Parameter Estimates and the Effects of the Predictor Variables Upon Postsecondary Education Status.

Still Enrolled in Two-Year Institution

Still Enrolled in Four-Year Institution

VARIABLE

β

Odds

β

Odds

Talks with Math Teacher Outside of ClassNoYes

.04

1.04

.21***

1.24

Hours Spent Weekly on HomeworkVery LowLowModerateHigh

.13

.20

.16

.88

1.23

1.17

.08.24.18

1.08

1.27

1.20

Hours Spent Weekly on Extracurricular ActivityNoneLowModerateHigh

-.25*

-.12

-.01

.78

.86

.99

-1.6***-.58***-.15

.20

.56

.86

Note. Leaver is the reference category for the dependent variable. The comparison categories for the predictor variables were talking to the math teacher outside of class, high (16 or more) number of hours per week on homework, and high (15 or more) number of hours spent in extracurricular activities. AM software (American Institutes for Research, 2003) was used to calculate adjusted standard errors for sampling design effects. Nagelkerke R2 = .09. * p ≤ .05; ** p ≤ .01; *** p ≤ .001.

Table 1 gives the parameter estimates from the MLR that analyzed the effects of the predictor variables on postsecondary education status and presents two nonredundant logits since our criterion variable (postsecondary status) has three possible values: leaver, still enrolled in a two-year institution, and still enrolled in a four-year institution. When comparing those still enrolled in a two-year institution to those no longer enrolled, the only parameter estimate that was significantly different from zero was time spent in extracurricular activities. Those students with no extracurricular activities (β=-.25) compared to those with a high number extracurricular activities (15 or more hours per week) were less likely to still be enrolled in a two-year institution. When examining the second logit (those still enrolled in a four-year institution compared to those no longer enrolled in any postsecondary institution), two predictors were significant: talks to the math teacher outside of class and time spent in extracurricular activities. Those students who spoke with their math teacher outside of class increased their chances of still being enrolled in a four-year institution rather than being in the leaver group by a factor of 1.24. The parameters for homework were not significant. In regards to the number of weekly hours in extracurricular activities, the parameters for none and low (1–4) hours were significant. Those students who spent either no or a low number of hours in extracurricular activities compared to those with a high number of hours (15 or more) were less likely to still be enrolled in a four-year institution. The difference between a moderate number (5–14) and a high number (15+) of hours spent in extracurricular activities was not significant.

Discussion

Based on previous research about factors in college related to persistence, this study hypothesized nine criterion variables on the high school level to predict college persistence. The hypothetical question guiding this study was: Would the same variables on the college level known to influence persistence predict persistence when measured at the high school level? Three of these nine variables were significant in the overall model: talks with math teacher outside of class, number of hours spent weekly on homework, and number of hours spent weekly on extracurricular activities. Six of the nine variables were not significant: academic support, social support, talks with English teacher outside of class, has gone to counselor for college entrance information, performed community/volunteer service, and number of hours worked. As a result, our original model was replaced with a more parsimonious model of three predictor variables. Furthermore, number of hours spent weekly on homework, while significant in the overall model, was not a strong enough predictor to distinguish those who persisted in two-year colleges from those who left or to distinguish those who persisted in four-year colleges from those who left. In the end, the two predictors strong enough to differentiate among the three groups were: talks with math teacher outside of class and number of hours spent in extracurricular activities.

Some of the predictor variables, like academic support and social support, were composite variables of just three Likert-scaled student-reported items. Thus, the reliability of these is questionable and may explain their lack of predictive value. Previous research (Kuh et al., 2008; Pascarella & Terenzini, 2005) has shown that college students with both academic and social support have a greater chance of persisting. Related to academic support, however, is seeking out and talking with professors outside of class. College students who interact with professors outside of class have a greater chance of persisting. The results of the present study indicate that high school students who spoke with their math teacher (not the English teacher) outside of class had a greater chance of persisting in a four-year college, but not necessarily in a two-year college. This result is not surprising as it was hypothesized that high school students who speak with their teachers outside of class would have a greater likelihood of doing so on the college level and, in turn, a greater likelihood of persisting in college. What may be surprising is that the predictive value lies particularly with the math teacher. The predictive value of the math curriculum upon completion of the baccalaureate degree has been well established (Adelman, 1999, 2006; Trusty & Niles, 2003). Thus, based on previous research, one might argue that students taking math more seriously in high school will have a greater chance of persisting in a four-year college, and one indication of such seriousness is speaking with the teacher outside of class. This is not to say that speaking with other teachers is unimportant, but it may be that such communication has less of an effect upon college persistence and completion of a four-year degree. Many students find math difficult, especially the more advanced courses. Some students may have the self-confidence to approach math teachers, and these attributes contribute to their persistence in college. The average student, however, may not feel so comfortable. If students are able to overcome the intimidation of difficult and challenging subject matter by approaching their teacher either to seek help for material that is confusing and not understood or desiring further work, they will find fewer obstacles in approaching other teachers or professors. Without wishing to sound overly simplistic, it may be stated: If you can speak with a teacher whose subject matter you find difficult and challenging, you might be able to speak with anyone. It fosters a help-seeking quality that may very well contribute to persistence in college. A history of speaking with the high school math teacher outside of class may make it less intimidating to speak with university professors once the students arrive at a four-year institution.

The relationship between homework, extracurricular activities and college persistence merits some discussion. As mentioned previously, hours spent doing homework in high school were significant in the overall model of college persistence, but not strong enough to significantly differentiate those who persisted from those who did not. On the other hand, the number of hours spent in extracurricular activities was significant on both the four-year and two-year college levels. The relative lack of significance for homework is a surprising result, as studies show that college grades are related to hours spent doing homework and significantly impact persistence (Pascarella & Terenzini, 2005). Why then is homework not a significant predictor on the high school level? Kuh et al. (2007) found that 47% of high school students study 3 hours a week or less and receive predominantly A and B grades, and academic engagement declines in a linear fashion over the 4 years. This, taken into conjunction with extracurricular activities may explain why the latter is more important than the former. Research (Astin, 1993; Kuh et al., 2008; Pascarella & Terenzini, 2005) has shown that integration (i.e., a feeling of connectedness and belonging) is one of the strongest predictors of persistence on the college level. Participation in extracurricular activities is one of the many ways, if not the most effective way, students become integrated into the school environment. The present study shows that those involved in zero or low (1–4 hours weekly) number of hours of extracurricular activities were less likely to persist in a four-year institution. It can be suggested, then, that those who participated in a moderate (5–14 hours) and high (15+) number of hours in high school activities would more likely participate in clubs and activities on the college level, which may, in turn, foster their sense of belonging and integration in the college environment. This was somewhat less true for those who persisted in a two-year institution, where only those who had zero extracurricular activities were less likely to persist. It may be that since many two-year institutions are commuter schools, integration via participation in extracurricular activities may have a less important role in persistence. Among those who attend four-year colleges, the pathway to persistence initially may be through feeling part of something (e.g., a club, an activity, a sport), which fosters a sense of integration and consequential feelings of contentment. Rare are the students who like doing homework. More common, however, might be students who will do homework because they like the school environment, want to stay and do not want to be dismissed for academic reasons. In other words, the pathway to persistence may be through extracurricular activities.

Implications for Counseling Practice

Implications for School Counselors

School counselors are intricately involved in postsecondary planning and, in many schools, diligently work toward getting their students into the college of their choice (American School Counselor Association [ASCA], 2005b). One of the nine predictive variables in our initial model that was related to the school counselor, “gone to counselor for college entrance information,” was not significant. Getting information from a counselor regarding college entrance requirements is transactional, and although it may assist a student with getting into college, it would not necessarily impact their persistence. Furthermore, this variable focuses on one aspect of the school counselor’s complex role and not on the broader roles school counselors perform that can impact college persistence. The National Standards of ASCA (1997; Campbell & Dahir, 1997), the ASCA National Model (2003, 2005a), and the Transforming School Counseling Initiative (Education Trust, 1997) have contributed to determining the role of the school counselor as more proactive in maximizing the academic development of students. The results of our study imply that school counselors can influence factors related to persistence, namely extracurricular activities and talking with teachers outside of class. The ASCA National Model (ASCA, 2005a) focuses on the school counselor’s role and responsibility to promote the development of students in the academic, career, and personal and social domains. Specifically, the school counselor could support and encourage students to engage in extracurricular activities and to interact/talk with teachers outside of class, which would be proactive measures under the ASCA model and also increase the chances of college persistence. Those who develop a sense of belonging (Adler, 1964) through extracurricular activities in high school will be more equipped to replicate this effort on the college level. School counselors have always tried to promote school bonding by connecting students to clubs and organizations commensurate with their interests. This study shows that they can invigorate their efforts with the added knowledge that it may make a difference in whether a student persists or not on the college level.

A second implication for school counselors concerns the predictive value of talking to the math teacher outside of class. Speaking with a teacher outside of class, especially if it involves material not understood, can be challenging for many students. It requires assertiveness and self-confidence and, in spite of encouragement by counselors, many students may fail to make such efforts. This study implies that school counselors should develop and maintain efforts at facilitating student interactions with teachers outside of class. Most teachers are dedicated professionals and want to help students succeed. School counselors know both the teachers and the students and therefore are in a unique position to broker relationships between the two. Comprehensive school counseling programs emphasize collaboration between the professional school counselor and other educators in order to promote academic achievement (ASCA, 2005b). If students can develop facility during high school for talking with teachers outside of class and seeking help for material they do not understand, this study shows that doing so may make a difference in their ability to persist on the college level. The first year of college can be intimidating for many students, and their help-seeking capacities for academic challenges can make a big difference in their becoming comfortable and engaged in college life. Therefore, school counselors should not tire in their efforts to promote a healthy interaction between students and teachers, especially with a teacher whose subject matter students might find challenging. For many students, this may be the math teacher, which may explain why the present study found that talking to a high school math teacher outside of class positively predicted persistence in college.

Implications for Community and Mental Health Counselors

Often encouraged by the school, many parents whose children are struggling seek counseling services in the community. Poor academic performance can result in a variety of mental health problems, including learned helplessness, low self-esteem and poor self-efficacy (McLeod, Uemura, & Rohrman, 2012; Needham, Crosnoe, & Muller, 2004). A counselor’s advocacy with the school becomes a significant part of the treatment plan because these students often get lost in the system (Holcomb-McCoy & Bryan, 2010). With the parents’ permission, counselors can attend pupil personnel team meetings and talk with the school counselors and teachers. As mentioned several times, the interactions with teachers are an important predictor for college persistence. The first author works with many adolescents who attend large urban schools and struggle with math. He will often suggest talking to the teacher and getting extra help, a suggestion that is often unceremoniously dismissed. In some cases, through counseling and the use of role-plays, students can gain the necessary assertiveness and self-confidence to approach their teachers and discuss difficult subject matter. In other cases, students will continue to resist. After discussing the idea with the student, the counselor can call the school counselor and even the teacher to effectuate greater interactions with the students. More important than who initiates the interaction is the comfort level a student achieves from talking and meeting with teachers outside of class with the hope of receiving tutoring and mentoring (Bryan et al., 2012). With both the adolescent’s and parents’ permission, the senior author has often called teachers to discuss a struggling student’s performance and alert them to the student’s difficulty in asking for help. The phone call usually ends with an agreement that the teacher will reach out to the student. While it may be rare for the college professor to reach out, students who have had the experience of talking with teachers in high school about challenges in the classroom may be more likely to initiate such interactions on the college campus.

Implications for College Student Development Counselors

Recently, there have been calls for stronger links between secondary schools and institutions of higher education (Adams, 2013; Brock, 2010; Lautz, Hawkins, & Perez, 2005). In fact, President Obama’s 2014 budget included grants for high schools to partner with higher education, business and non-profit groups to develop programs to prepare students for college and the workplace (Adams, 2013.) While strides have been made in the development of programs to support early college, dual enrollment programs, various articulation agreements and the integration of offering college level courses in high schools (Adams, 2013; Allen & Murphy, 2008; Fowler & Luna, 2009; Lautz, Hawkins, & Perez, 2005), these programs are mostly academic and do not address the social, non-academic and engagement issues proven to impact persistence (Pascarella & Terenzini, 2005). Thus, it would seem that promoting increased communication and collaboration between school and college student development counselors might provide the needed link for those working directly with students outside of the classrooms at all grade levels. For example, the University of Buffalo has responded by developing a program that includes advisory boards made up of school counselors, hosting the local school counselor association meeting and trainings on campus, and connecting with school counselor education programs (Bernstein, 2003).

Our results suggest the need to promote the importance of students’ involvement in extracurricular activities as well as the interaction with faculty—particularly the math teachers. College student development counselors need to seek out opportunities to meet with high school students not only to recruit them to their respective schools, but to work with the school counselors and the students themselves to assist and encourage students in developing these important skills. Admissions counselors often have that very important initial contact with students and can build into their presentation a simple yet meaningful assessment to identify students who may not have the skills identified as positively impacting persistence. One implication from the present study would be to ask students about the number of hours spent in extracurricular activities and how well they know their teachers (particularly their math teacher). Such questions could give an indication as to how developed those skills are at the moment and identify those students who need additional assistance. Professional development for teachers might also assist in increasing their understanding of the important and future consequences of interaction with their students as it relates to college persistence. Again, if college counselors can promote the interaction between teachers and students on the high school level, it may pave the way for these same students to interact and seek out help more easily from their college professors.

Limitations and Future Research

First, data-based research limits the investigator to items in the data base. The academic and social support variables, known to have a significant effect at the college level upon persistence, were composed of items that made these variables equivocal to the kind of support experienced in college. More reliable measures of academic and social support are needed to properly assess their predictive value on the high school level in regards to persistence. Secondly, the study is longitudinal and relies on data collected over a period of 4 years. As is the case with many longitudinal studies, not all ELS base-year participants were available several years later for the second follow-up, a year and a half after scheduled graduation from high school. Studies using continuous variables can rely on transformation methods available in statistical programs to replace missing data. However, this was not an option for the present study because it employed mostly categorical variables and causes the study to have missing cases, which reduces its randomness and generalizability. Thirdly, in the Discussion section, reference was made to the path toward college persistence and the special significance extracurricular activities might play in that pathway. Logistic regression can measure the significance and strength of individual predictors but cannot determine whether there is a significant difference among the predictors. Future studies, using path analysis, can shed more light on our findings that were achieved through simple regression and determine more specifically the path toward college persistence and the strength of relationship among various predictors.

Conclusion

This study investigated variables at the high school level that predict college persistence. Persistence was the dependent variable and measured by those who were still enrolled in a postsecondary institution a year and a half after graduation from high school. From the variables on the college level known to have a relationship to persistence, this study measured those same variables on the high school level to see if they predicted persistence in either a two-year or four-year institution. Six of the nine variables from the original model were not significant: academic support, social support, talks with English teacher outside of class, has gone to counselor for college entrance information, performed community/volunteer service, and number of hours worked. Two variables were strong enough to distinguish those who persisted from those who left: hours of extracurricular activities and talking with math teachers outside of class. The study discussed the implications for school, college student development and community mental health counselors in regards to the significance of these two variables.

Persistence is a major concern today among colleges. Implications of this study reveal how counselors can contribute to enhancing persistence by examining the relationship between factors on the high school level and persistence. The results of this study indicate that much more research needs to be done on this topic. Only a small number of our originally hypothesized predictors were supported as having a relationship to college persistence. Homework, talking to the math teacher and extracurricular activities contributed to about 9% of the variance, indicating that high school persistence is explained by many more factors other than the ones found significant in this study. This study, however, is a first attempt at investigating how counselors working with high school youth might contribute to enhancing persistence on the college level. The authors hope that the findings that indicate the significance of some and the lack of significance of other variables will spur further interest in this topic. More so than attending college, graduating from college has become a major challenge today. If counselors can help construct a more solid foundation for persistence at the secondary school level, colleges will be in a better position to graduate qualified members for increasingly sophisticated and academically challenging work environments.

 

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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Daniel T. Sciarra, NCC, is a Professor at Hofstra University. Holly J. Seirup is an Associate Professor at Hofstra University. Elizabeth Sposato is Assistant Director of Career Services at New York Institute of Technology. Correspondence can be addressed to Daniel Sciarra, 160 Hagedorn Hall, Hofstra University, Hempstead, NY 11549, daniel.t.sciarra@hofstra.edu.