The impact of self beliefs on post-secondary transitions: The moderating effects of institutional selectivity
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The purpose of this study was to examine the relationships between self beliefs, institutional characteristics, and college student persistence. More specifically, this study sought to understand whether self-efficacy beliefs, both academic self-efficacy and social self-efficacy, play a role in college persistence. Further, the possible moderating effects of institutional selectivity were explored. Results showed academic and social self-efficacy beliefs were associated with first-year college persistence. Accounting for the moderating effects of college selectivity revealed a nuanced relationship between self-efficacy beliefs and persistence. Social self-efficacy had the greatest impact on the persistence of students at less selective colleges, whereas academic efficacy was associated with a greater persistence for students at highly selective colleges. Implications for higher education practitioners and counselors are discussed.
KeywordsCollege persistence Self-efficacy College selectivity
- ACT. (2010). ACT institutional data file, 2010. Summary table: national first- to. Second-Year Retention Rates by. Institutional Type. Retrieved March 30, 2011 from: http://www.act.org/research/policymakers/pdf/retain_2010.pdf.
- Adelman, C. (1999). Answers in the toolbox: Academic intensity, attendance patterns, and bachelor’s degree attainment. U.S. Department of Education. Washington, DC: Office of Educational Research and Improvement.Google Scholar
- Arbona, C., & Nora, A. (2007). The influence of academic and environmental factors on Hispanic college degree attainment. The Review of Higher Education, 30(3), 247–269.Google Scholar
- Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: W. H. Freeman.Google Scholar
- Bean, J. P. (1983). The application of a model of turnover in work organizations to the student attrition process. Review of Higher Education, 6(2), 129–148.Google Scholar
- Bean, J. P., & Eaton, S. B. (2000). A psychological model of college student retention. In J. M. Braxton (Ed.), Reworking the departure puzzle: New theory and research on college student retention. Nashville: University of Vanderbilt Press.Google Scholar
- Bound, J., Lovenheim, M., & Turner, S. (2007). Understanding the decrease in college completion rates and the increased time to the baccalaureate degree. Population Studies Center Research Report, 2007 07-626.Google Scholar
- Camara, W. J., & Echternacht, G. (2000). The SAT I and high school grades: Utility in predicting success in college (College Board Rep. No. 10). New York, NY.Google Scholar
- Dhawan, A. (2014). Time to recognise private universities’ role in putting India on the global education map. The Economic Times. Retrieved from: http://articles.economictimes.indiatimes.com/2014-07-13/news/51429474_1_education-system-private-universities-azim-premji-university.
- Drew, D. E. (1996). Aptitude revisited: Rethinking math and science education for America’s next century. Baltimore: John Hopkins University Press.Google Scholar
- Gloria, A. M., Robinson Kurpius, S. E. R., Hamiliton, K. D., & Wilson, M. S. (1999). African American students’ persistence at a predominantly white university: Influences of social support, university comfort, and self-beliefs. Journal of College Student Development, 40(3), 257–268.Google Scholar
- Himelhoch, C. R., Nichols, A., Ball, S. R., & Black, L. C. (1997). A comparative study of the factors which predict persistence for African American students at historically black institutions and predominantly white institutions. Paper presented at the annual meeting of the Association for the Study of Higher Education, Albuquerque, NM.Google Scholar
- Knapp, L. G., Kelly-Reid, J. E., Whitmore, R. W., & Miller, E. (2007). Enrollment in postsecondary institutions, fall 2005; graduation rates, 1999 and 2002 cohorts; and financial statistics, fiscal year 2005 (NCES 2007-154). U.S. Department of Education. Washington, DC: National Center for Education Statistics. Retrieved September 5, 2007 from: http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2007154.
- Long, J. S. (1997). Regression models for categorical and limited dependent variables. Thousand Oaks, CA: Sage Publications Inc.Google Scholar
- McKeachie, W. (2002). McKeachie’s teaching tips: Strategies, research, and theory for college and university teachers. Boston: Houghton Mifflin Company.Google Scholar
- Nora, A., & Lang, D. (2001). Pre-college psychosocial factors related to persistence. Paper presented at the annual meeting of the association for institutional research, Texas.Google Scholar
- Pascarella, E. T., & Terenzini, P. T. (1991). How college affects students: A third decade of research, (Vol. 2). San Francisco, CA: Wiley.Google Scholar
- Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications (2nd ed.). Upper Saddle River, NJ: Prentice Hall.Google Scholar
- Sharkness, J., DeAngelo, L., & Pryor, J. (2010). CIRP Construct Technical Report. Los Angeles: Higher Education Research Institute.Google Scholar
- Stage, F. K., Muller, P. A., Kinzie, J., & Simmons, A. (1998). Creating learning centered classrooms: What does learning theory have to say?. San Francisco: Jossey-Bass.Google Scholar
- Strauss, L. C., & Volkwein, J. F. (2004). Predictors of student commitment at two-year and four-year institutions. Journal of Higher Education, 75(2), 203–228.Google Scholar
- Tierney, W. G., & Henschke, G. C. (2007). New players, different game: Understanding the rise of for-profit colleges and universities. Baltimore: The Johns Hopkins University Press.Google Scholar
- Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition. Chicago: University of Chicago Press.Google Scholar
- Tinto, V. (2005). Epilogue: Moving from theory to action. In A. Seidman (Ed.), College student retention: Formula for student success. Westport, CT: ACE/Praeger.Google Scholar
- United Nations Educational, Scientific and Cultural Organization (UNESCO). (2014). Education: Enrollment by type of institution. Retrieved from: http://data.uis.unesco.org/index.aspx?queryid=130&lang=en.
- U.S. Department of Education, National Center for Education Statistics. (2013a). Table 326.10: Graduation rates of first-time, full-time bachelor’s degree-seeking students at 4-year postsecondary institutions, by race/ethnicity, time to completion, sex, and control of institution: Selected cohort entry years, 1996 through 2006. In U.S. Department of Education, National Center for Education Statistics (Ed.), Digest of education statistics. Retrieved from https://nces.ed.gov/programs/digest/d13/tables/dt13_326.10.asp.
- U.S. Department of Education, National Center for Education Statistics. (2013b). Table 326.20: Graduation rates of first-time, full-time degree/certificate-seeking students at 2-year postsecondary institutions who completed a credential within 150 percent of normal time, by race/ethnicity, sex, and control of institution: Selected cohort entry years, 2000 through 2009. In U.S. Department of Education, National Center for Education Statistics (Ed.), Digest of education statistics. Retrieved from https://nces.ed.gov/programs/digest/d13/tables/dt13_326.20.asp.
- van Dinther, M., Dochy, F., & Segers, M. (2011). Factors affecting students' self-efficacy in higher education. Educational Research Review, 6, 95–108.Google Scholar
- Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91.Google Scholar