Abstract
Universities are facing challenges in the area of student retention and graduation. A critical question is what schools can do to improve undergraduate students’ intentions to complete college. Dropout intention has been studied, yet the exploration of college completion intention has not been thoroughly examined. Using structural equation modeling, a model was developed to explain college completion intention of undergraduate students. The independent variables were perceived institutional support, academic self-efficacy, institutional commitment, classroom learning environment, and social support. A total of 260 university students participated. The model explains 37 % of the variance in college completion intention. The conclusion reached from the analysis is that the learning environment is a moderately powerful but indirect influence on students’ college completion intention. Furthermore, social support and perceived institutional support contribute to a student’s intention to complete college. Academic self-efficacy plays a smaller yet significant role in student’s college completion intention also. Institutions need to be places that develop positive experiences in the classroom as this is a major catalyst in the student’s intention to complete college.
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Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.
Ajzen, I. (2001). Nature and operant attitudes. Annual Review of Psychology, 52, 27–58.
Ajzen, I., & Driver, B. (1991). Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. Leisure Sciences, 13, 185–204.
Al-Rafee, S., & Cronan, T. (2006). Digital piracy: Factors that influence attitude toward behavior. Journal of Business Ethics, 63(3), 237–259.
Alvarez, D., & Mehan, H. (2006). Whole-school detracking: A strategy for equity and excellence. Theory Into Practice, 45(1), 82–89.
Aselage, J., & Eisenberger, R. (2003). Perceived organizational support and psychological contracts: a theoretical integration. Journal of Organizational Behavior, 24, 491–509.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.
Bandura, A. (1986). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147.
Bandura, A. (1989). Social cognitive theory. In R. Vasta (Ed.), Annals of child development (Vol. 6, pp. 1–60)., Six theories of child development Greenwhich, CT: JAI.
Bandura, A., Barbaranelli, C., Caprara, G., & Pastorelli, C. (1996). Multifaceted impact of self-efficacy beliefs on academic functioning. Child Development, 67(3), 1206–1222.
Bean, J. (1980). Dropouts and turnover: The synthesis and test of a causal model of student attrition. Research in Higher Education, 12(2), 155–187.
Bean, J. (1983). The application of a model of turnover in work organizations to the student attrition process. The Review of Higher Education, 6(2), 127–148.
Bean, J. (2005). Nine themes of college student retention. In A. Seidman (Ed.), College student retention: Formula for student success (pp. 215–244). Westport, CT: Praeger.
Blunch, N. (2008). Introduction to structural equation modelling using SPSS and AMOS. Thousand Oaks, CA: Sage.
Bound, J., Lovenheim, M., & Turner, S. (2010). Why have college completion rates declined? An analysis of changing student preparation and collegiate resources. American Economic Journal, 2(3), 129–157.
Cabrera, A., Castaneda, M., Nora, A., & Hengstler, D. (1992). The convergence between two theories of college persistence. Journal of Higher Education, 63(2), 143–164.
Cabrera, A., Nora, A., & Castaneda, M. (1993). College persistence: Structural equation modeling test of an integrated model of student retention. Journal of Higher Education, 64(2), 123–139.
Cartoni, A., Minganti, C., & Zelli, A. (2005). Gender, age, and professional-level differences in the psychological correlates of fear of injury in Italian gymnasts. Journal of Sport Behavior, 28(1), 3–17.
Chionha, Y., & Fraser, B. (2009). Classroom environment, achievement, attitudes and self-esteem in geography and mathematics in Singapore. International Research in Geographical and Environmental Education, 18(1), 29–44.
Chu, K. (2009). Inquiry project-based learning with a partnership of three types of teachers and the school librarian. Journal of the American Society for Information Science and Technology, 60(8), 1671–1686.
Cooke, R., Sniehotta, F., & Schuz, B. (2007). Predicting binge-drinking behavior using an extended TPB: Examining the impact of anticipated regret and descriptive norms. Alcohol and Alcoholism, 42(2), 84–91.
Davis, L., Ajzen, I., Saunders, J., & Williams, T. (2002). The decision of African American students to complete high school: An application of the theory of planned behavior. Journal of Educational Psychology, 94(4), 810–819.
Deseve, G. (2009). “Integration and Innovation” in the intelligence community: The role of a netcentric environment managed networks, and social networks. In S. Goldsmith & D. Kettl (Eds.), Unlocking the power of networks: Keys to high-performance government (pp. 121–144). Harrisonburg, VA: RR Donnelley.
Dressler, W. (1991). Stress and adaptation in the context of culture: Depression in a Southern Black Community. Albany, NY: State University of New York Press.
Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived organizational support. Journal of Applied Psychology, 71, 500–507.
Elias, M., & Haynes, N. (2008). Social competence, social support, and academic achievement in minority, low-income, urban elementary school children. School Psychology Quarterly, 23(4), 474–495.
Fraser, B., McRobbie, C., & Fisher, D. (1996). Development, validation and use of personal and class forms of a new classroom environment instrument. Paper presented at the annual meeting of the American Educational Research Association, New York.
Gansemer-Topf, A., & Schuh, J. (2006). Institutional selectivity and institutional expenditures: Examining organizational factors that contribute to retention and graduation. Research in Higher Education, 47(6), 613–642.
Gouldner, A. (1960). The norm of reciprocity: A prelimnary statement. American Sociological Review, 25(2), 161–172.
Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.
Hawthorn, J., & Conrad, F. (1997). Emblems of quality in higher education. Developing and sustaining high-quality programs. Needham Heights, MA: Allyn and Bacon.
Homans, G. C. (1961). Social behavior. New York, NY: Harcourt Brace and World.
Jacobson, L., & Burdsal, C. (2012). Academic performance in middle school: Friendship influences. Global Journal of Community Practice, 2(3), 1–12.
Jolliffe, W. (2007). Cooperative learning in the classroom: Putting it into practice. Thousand Oaks, CA: Sage.
Kaplan, D. (2000). Structural equation modeling: Foundations and extensions. Thousand Oaks, CA: Sage.
Kargar, M., Tarmizia, R., & Bayata, S. (2010). Relationship between mathematical thinking, mathematics anxiety and mathematics attitudes among university students. Procedia—Social and Behavioral Sciences, 8, 537–542.
Karp, M., Bickerstaff, S., Rucks-Ahidiana, Z., Bork, R., Barragan, M., & Edgecombe, N. (2012). College 101 courses for applied learning and student success. New York, NY: Community College Research Center, Teachers College, Columbia University.
Kim, H. (2010). The nature of theoretical thinking in nursing (3rd ed.). New York, NY: Springer.
Kline, R. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford.
Kornish, I., & Mann, D. (2010). The management of diabetes. In J. Suls, K. Davidson, & R. Kaplan (Eds.), Handbook of health psychology and behavioral medicine (pp. 426–442). New York, NY: Guildford.
Lan Rong, X., & Preissle, J. (2009). Educating immigrant students in the 21st century: What educators need to know. Thousnad Oaks, CA: Corwin.
Lane, J., Lane, A., & Kyprianou, A. (2004). Self-efficacy, self-esteem and their impact on academic performance. Social Behavior and Personality, 32(3), 247–256.
Latimer, A., & Ginis, K. (2005). The importance of subjective norms for people who care what others think of them. Psychology and Health, 20, 53–62.
Liou, S., & Cheng, C. (2010). Organisational climate, organisational commitment and intention to leave amongst hospital nurses in Taiwan. Journal of Clinical Nursing, 19, 1635–1644.
Lotkowski, V., Robbins, S., & Noeth, R. (2004). The role of academic and non-academic factors in improving college retention. Retrieved from http://www.act.org/research/policymakers/pdf/college_retention.pdf.
Luzzo, D. A., Hasper, P., Albert, K. A., Bibby, M. A., & Martinelli, E. A. (1999). Effects of self-efficacy-enhancing interventions on the math/science self-efficacy and career interests, goals, and actions of career undecided college students. Journal of Counseling Psychology, 46(2), 233–243.
Mallinckrodt, B. (1988). Student retention, social support, and dropout intention: Comparison of Black and White students. Journal of College Student Development, 29(1), 60–64.
Melese, W., & Fenta, G. (2009). Trend and causes of female students dropout from teacher education institutions of Ethiopia: The case of Jimma University. Ethiopian Journal of Education and Sciences, 5(1), 1–19.
Nicpon, M., Huser, L., Blanks, E., Sollenberger, S., Befort, C., & Kurpius, S. (2007). The relationship of loneliness and social support with college freshmen’s academic performance and persistence. Journal of College Student Retention, 8(3), 345–358.
Notani, A. (1998). Moderators of perceived behavioral control’s predictiveness in the theory of planned behavior: A meta-analysis. Journal of Consumer Psychology, 7, 247–271.
Owen, S., & Froman, R. (1988). Development of a college academic self-efficacy scale. Paper presented at the Annual Meeting of the National Council on Measurement in Education, New Orleans, LA, April 6–8, 1988.
Palloff, R., & Pratt, K. (2003). The virtual student: A profile and guide to working with online learners. San Francisco, CA: Wiley.
Roberts, E., & Lund, J. (2007). Exploring e-learning community in a global postgraduate programme. In R. Andrews & C. Haythornthwaite (Eds.), The Sage handbook of e-learning research (pp. 487–503). Thousand Oaks, CA: Sage.
Saab, N., van Joolingen, W., & van Hout-Wolters, B. (2012). Support of the collaborative inquiry learning process: influence of support on task and team regulation. Metacognition and Learning, 7(1), 7–23.
Sanchez, R. (2006). The role of language fluency self-efficacy in organizational commitment and perceived organizational support. Journal of Foodservice Business Research, 9(2/3), 49–65.
Schubert, W. (1986). Curriculum: Perspective, paradigm, possibilty. New York, NY: MacMillan.
Schumacker, R., & Lomax, R. (2004). A beginners’s guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.
Sigelman, C., & Rider, E. (2012). Life-Span Human Development. Belmont, CA: Wadsworth Cengage Learning.
Skahill, M. (2003). The role of social support network in college persistence among freshman students. Journal of College Student Retention, 4(1), 39–52.
Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125.
Tinto, V. (1999). Taking retention seriously: Rethinking the first year of college. NACADA Journal, 19(2), 5–9.
Vekiria, I., & Chronak, A. (2008). Gender issues in technology use: Perceived social support, computer self-efficacy and value beliefs, and computer use beyond school. Computers and Education, 51(3), 1392–1404.
Walsh, C., Larsen, C., & Parry, D. (2009). Academic tutors at the frontline of student support in a cohort of students succeeding in higher education. Educational Studies, 35(4), 405–424.
Witkow, M., & Fuligni, A. (2011). Ethnic and generational differences in the relations between social support and academic achievement across the high school years. Journal of Social Issues, 67(3), 531–552.
Yost, Handley, D., Cotten, S., & Winstead, V. (2010). Understanding the links between mentoring and self-efficacy in the new generation of women STEM scholars. In A. Cater-Steel & E. Cater (Eds.), Women in engineering, science and technology: Education and career challenges (pp. 97–117). Hershey, PA: Engineering Science References.
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Thomas, D. Factors that Influence College Completion Intention of Undergraduate Students. Asia-Pacific Edu Res 23, 225–235 (2014). https://doi.org/10.1007/s40299-013-0099-4
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DOI: https://doi.org/10.1007/s40299-013-0099-4