Student Success is often used as short-hand for the larger retention-persistence-graduation (RPG) conversation. Broadly, student success contains aspects of one or more variables related to academic achievement, engagement in educationally purposeful activities, satisfaction, acquisition of desired knowledge, skills and competencies, persistence, attainment of educational objectives, and post-college performance (Kuh, Kinzie, Buckley, Bridges, & Hayek, 2007). In order to positively impact retention and student success, it is important for an institution to understand the phenomenon of attrition on their campus such that informed efforts can be made to decrease the rate of its occurrence (Braxton & McClendon, 2001; Butcher, 1997; Martinez, Sher, Krull & Wood, 2009; Tinto, 1993).

One explanation for high attrition rates is that students may experience “marginality,” the sense that they do not fit in or belong (Pillow, Malone, & Hale, 2014), or the feeling of being disconnected from the institution (Schlossberg, 1981; Taub, 2020). Marginality can lead to negative outcomes such as self-consciousness, irritability and depression (Dixon & Kurpius, 2008) and happens differently for different co-populations (Cabrera, Burkum, LaNasa, & Bibo, 2012; Johnson, Soldner, Leonard, Alvarez, Rowan-Kenyon, & Longerbeam, 2007; Hurtado & Carter, 1997; Strayhorn, 2012; Zubrunn, McKim, Buhs, & Hawley, 2014). The opposite feeling is “mattering” (Rosenberg & McCullough, 1981), the feeling that students count, that they make a difference. Mattering is affected by:

  • attention (being noticed, not invisible)
  • importance (that someone is concerned, cares about you)
  • ego extension (that someone will share in your pride of accomplishment and sympathize with your failures)
  • dependence (the sense of being needed)
  • appreciation (the feeling that one’s efforts are appreciated)

“Helping students feel that they matter to the institution is a first step toward engaging students and involving them in the college community” (Zavatkay, 2015). One element that helps to make students feel like they matter is social support. Social support is especially important when any event or nonevent creates a transition that results in changed relationships and routines (Anderson, Grossman, & Schlossberg, 2012). Social support comes in various types (emotional, informational, appraisal, etc.) and from various sources such as close friends, family members, professors, staff, and community members. Interestingly, students do not distinguish between student services and academics when reporting whether or not they feel social support—they perceive it as being all one package (Hart, 2018). College-friend social support is the most powerful predictor of mattering, and mattering to the college is the most powerful predictor of academic stress levels (Rayle & Chung, 2007). Specifically, students feel like they matter when staff/faculty gave attention, expressed care and concern, and are responsive (Hart, 2018).

Retention, persistence and completion can be enhanced or impeded during the first six weeks of the new college student’s experience. During this critical time, students need support from peers, faculty and staff. Racism and discrimination can lead to a lower sense of belonging for marginalized groups (Pope, Miklitsch and Weigand, 2005; Sue, 2010; Harwood, Huntt, Mendenhall & Lewis, 2012). Thus, there is a need to find out and monitor how connected students feel to their institution and how supported they feel socially before dropout occurs. It is also imperative to disaggregate those data by co-populations to understand the varied student experiences.

The Student Social Support/Connectedness Inventory (SSCI)was developed to address those needs.  The SSCI assesses student perceptions of esteem/emotional support, social companionship, academic support, connectedness to the institution, connectedness to instructors, connectedness to campus organizations/resources, and diversity, equity and inclusion. Ultimately, the goal is to assess whether students feel like they really matter to the institution.

The SSCI was developed through a multi-step process, beginning with a thorough literature review and an examination of existing scales. From those sources, common themes were derived and an initial set of 92 items was developed. Following review by knowledgeable experts, items were deleted and modified. Then 61 remaining items were sent to selected individual with knowledge and experience in higher education. They were asked to rate each item on a scale of 1 “Not important at all” to 5 “Absolutely essential.” An open-ended question was also included for comments and suggestions. Following data collection, descriptive statistics and z-scores were computed to determine the relative importance of each item. This process resulted in the original instrument of 50 items.

 

References

Anderson, M. L, Grossman, J., & Schlossberg, N. K. (2012). Counseling adults in transition: Linking Schlossberg’s theory with practice in a diverse world (4th ed.). New York, NY: Springer.

Barrera, M., Jr. Social support in the adjustment of pregnant adolescents:  Assessment Issues.  In B.H. Gottlieb (Ed.), Social networks and social support in community mental health (pp. 69-96).  Beverly Hills:  Sage, 1981.

Barrera, M., Jr., Sandler, I.N., & Ramsay, T.B. Preliminary development of a scale of social support: Studies on college students.  American Journal of Community Psychology, 1981,  9, 435-447.

Braxton, J. M., & McClendon, S. A. (2001). The fostering of social integration and retention through institutional practice. Journal of College Student Retention: Research, Theory & Practice, 3(1), 57-71.

Butcher, J. L. (1997). Involvement and persistence: Nontraditional student perceptions of the student-college relationship. West Virginia University.

Cabrera, A. F., Burkum, K. R., La Nasa, S. M., & Bibo, E. W. (2012). Pathways to a four-year degree: Determinants of degree completion among socioeconomically disadvantaged students. In A. Seidman (Ed.), College student retention: Formula for student success (2nd ed., pp. 167-210). Lanham, MD: RowMan & Littlefield.

Cohen, S., & Hoberman, H. M. (1983). Positive events and social supports as buffers of life change stress. Journal of Applied Social Psychology,13, 99–125.                               

Cole, D. A., Nick, E. A., Zelkowitz, R. L., Roeder, K. M., & Spinelli, T. (2017). Online social support for young people: Does it recapitulate in-person social support; can it help?  Computers in Human Behavior, 68, 456-464.

Dixon, S. K., & Kurpius, S. E. R. (2008). Depression and college stress among university undergraduates: Do mattering and self-esteem make a difference? Journal of College Student Development, 49(5), 412-424.

Hart, T. L. (2018). The relationship between online students’ use of services and their feelings of mattering. (Doctoral dissertation). Retrieved from ProQuest Dissertation and Theses database.

Harwood, S. A., Browne Huntt, M., Mendenhall, R., & Lewis, J. A. (2012). Racial microaggressions in residence halls: Experiences of Students of Color at a predominantly White university. Journal of Diversity in Higher Education, 5(3), 159-173.

Hurtado, S., & Carter, D. F. (1997). Effects of college transition and perceptions of the campus racial climate on Latino college students’ sense of belonging. Sociology of Education, 70(4), 324-345.

Johnson, D. R., Soldner, M., Leonard, J. B., Alvarez, P., Inkelas, K. K., Rowan-Kenyon, H. T., & Kim, M. M. (2011). Early career earnings of African-American students: The impact of attendance at historically Black versus White colleges and universities. Journal of Negro Education, 80, 505-520. Retrieved from http://search.proquest.com/docview/1022254981?accountid=14766

Kuh, G. D., Kinzie, J., Buckley, J. A., Bridges, B. K., Hayek, J. (2007). Piecing Together the Student Success Puzzle: Research, Propositions, and Recommendations. ASHE Higher Education Report, Volume 32, Number 5. p1-182 (2007). https://eric.ed.gov/?id=EJ791634

Longerbeam, S. D. (2007). Examining sense of belonging among first-year undergraduates from different racial/ethnic groups. Journal of College Student Development, 48(5), 525-542.

Martinez, J.A., Sher, K.J., Krull, J.L., & Wood, P.K. (2009). Blue-collar scholars? Mediators and moderators of university attrition in first-generation college students. Journal of College Student Development, 50, 87-103. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/ articles/PMC2742431/

Martirosyan, N. M.,  Bustamante, R. M., & Saxon, D. P. (2019). Academic and social support services for international students: Current practices. Journal of International Students, 9, 172-191.

Nick, E. A., Cole, D. A., Cho, S., Smith, D. K., Carter, T. G., & Zelkowitz, R. L. (2018).  The Online Social Support Scale: Measure development and validation. Psychological Assessment, 30, 1127-1143.

Norbeck, J. S., Lindsey, A. M., & Carrieri, V. L. (1981). The development of an instrument to measure social support. Nursing Research, 30,264–269.                                                                 

Pillow, D.R., Malone, G.P., and Hale, W. J. (2015). The need to belong and its association with fully satisfying relationships: A tale of two measures. Personality and Individual Differences. 74 (2015) 259 – 264.

Pope, R. L., Miklitsch, T.A., and Weigand, M.J. (2005). First-year students: Embracing their diversity, enhancing our practice. In R.S. Feldman (editor) Improving the first year of college: Research and practice. Lawrence Erlbaum Associates: Nahwah, NJ.

Rayle, A. D., & Chung, K.-Y. (2007). Revisiting First-Year College Students’ Mattering: Social Support, Academic Stress, and the Mattering Experience. Journal of College Student Retention: Research, Theory & Practice9(1), 21–37. https://doi.org/10.2190/X126-5606-4G36-8132

Rosenberg, M., & McCullough, B. (1981). Mattering: Inferred significance and mental health among adolescents. Research in Community and Mental Health, 2, 163-182.

Russell, D , Peplau, L. A.. & Ferguson, M. L. (1978). Developing a measure of loneliness. Journal of Personality Assessment, 42, 290-294.

Schlossberg, N. K. (1981). A model for analyzing human adaptation to transition. The Counseling Psychologist, 9, 2-18.

Seaman, J. E., Allen, I. E., & Seaman, J. (2018). Grade increase: Tracking distance education in the United States. Retrieved from Babson Survey Research Group website: https://onlinelearningsu rvey.com/reports/gradeincrease.pdf

Smith, B. G. (2010). E-learning technologies: A comparative study of adult learners enrolled on blended and online campuses engaging in a virtual classroom. (Doctoral dissertation). Retrieved from ProQuest Dissertation and Theses database.

Stayhorn, T.L. (2018). College students’ sense of belonging: A key to educational success for all students. New York, NY: Routledge.

Sue, D. W. (2010). Microaggressions in Everyday Life: Race, Gender, and Sexual Orientation. Hoboken, NJ: John Wiley & Sons, Inc.

Taub, D. J. (2020). Student development theory and online learners. In S. S. Budhai & Associates (editors), Online and Engaged: Innovative Student Affairs Practices for Online Learner Success (pp. 3-20).

Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd ed.). Chicago: University of Chicago Press.

Tovar, E. (2013). A conceptual model on the impact of mattering, sense of belonging, engagement/involvement, and socio-academic integrative experiences on community college students’ intent to persist. CGU Theses & Dissertations. Paper 81. http://scholarship.claremont.edu/cgu_etd/81

Weinert, C. (2003). Measuring social support: PRQ2000. In O. Strickland & C. DiIorio (Eds.), Measurement of nursing outcomes (Vol. 3, pp.161–172). New York, NY: Springer.

Zubrunn, S., McKim, C., Buhs, E., & Hawley, L. R. (2014). Support, belonging, motivation, and engagement in the college classroom: A mixed method study. Instructional Science42, 661-684.

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