Skip to main content

Advertisement

Log in

Factors that Influence College Completion Intention of Undergraduate Students

  • Regular Article
  • Published:
The Asia-Pacific Education Researcher Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.

    Article  Google Scholar 

  • Ajzen, I. (2001). Nature and operant attitudes. Annual Review of Psychology, 52, 27–58.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Al-Rafee, S., & Cronan, T. (2006). Digital piracy: Factors that influence attitude toward behavior. Journal of Business Ethics, 63(3), 237–259.

    Article  Google Scholar 

  • Alvarez, D., & Mehan, H. (2006). Whole-school detracking: A strategy for equity and excellence. Theory Into Practice, 45(1), 82–89.

    Article  Google Scholar 

  • Aselage, J., & Eisenberger, R. (2003). Perceived organizational support and psychological contracts: a theoretical integration. Journal of Organizational Behavior, 24, 491–509.

    Article  Google Scholar 

  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.

    Article  Google Scholar 

  • Bandura, A. (1986). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Bandura, A., Barbaranelli, C., Caprara, G., & Pastorelli, C. (1996). Multifaceted impact of self-efficacy beliefs on academic functioning. Child Development, 67(3), 1206–1222.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Blunch, N. (2008). Introduction to structural equation modelling using SPSS and AMOS. Thousand Oaks, CA: Sage.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived organizational support. Journal of Applied Psychology, 71, 500–507.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Gouldner, A. (1960). The norm of reciprocity: A prelimnary statement. American Sociological Review, 25(2), 161–172.

    Article  Google Scholar 

  • Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  • Hawthorn, J., & Conrad, F. (1997). Emblems of quality in higher education. Developing and sustaining high-quality programs. Needham Heights, MA: Allyn and Bacon.

    Google Scholar 

  • Homans, G. C. (1961). Social behavior. New York, NY: Harcourt Brace and World.

    Google Scholar 

  • Jacobson, L., & Burdsal, C. (2012). Academic performance in middle school: Friendship influences. Global Journal of Community Practice, 2(3), 1–12.

    Google Scholar 

  • Jolliffe, W. (2007). Cooperative learning in the classroom: Putting it into practice. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Kaplan, D. (2000). Structural equation modeling: Foundations and extensions. Thousand Oaks, CA: Sage.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Kim, H. (2010). The nature of theoretical thinking in nursing (3rd ed.). New York, NY: Springer.

    Google Scholar 

  • 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.

    Google Scholar 

  • Lan Rong, X., & Preissle, J. (2009). Educating immigrant students in the 21st century: What educators need to know. Thousnad Oaks, CA: Corwin.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Schubert, W. (1986). Curriculum: Perspective, paradigm, possibilty. New York, NY: MacMillan.

    Google Scholar 

  • Schumacker, R., & Lomax, R. (2004). A beginners’s guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Sigelman, C., & Rider, E. (2012). Life-Span Human Development. Belmont, CA: Wadsworth Cengage Learning.

    Google Scholar 

  • Skahill, M. (2003). The role of social support network in college persistence among freshman students. Journal of College Student Retention, 4(1), 39–52.

    Google Scholar 

  • Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125.

    Article  Google Scholar 

  • Tinto, V. (1999). Taking retention seriously: Rethinking the first year of college. NACADA Journal, 19(2), 5–9.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Darrin Thomas.

Rights and permissions

Reprints and permissions

About this article

Cite this article

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

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40299-013-0099-4

Keywords

Navigation