Ability and motivation: Assessing individual factors that contribute to university retention

Journal of Educational Psychology

Volumn 105, Issue 1, 2013, Pages 129-137

  Alarcon, Gene M ^a   Edwards, Jean M ^b  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b WRIGHT STATE UNIVERSITY   (United States)

Author keywords

Ability; Affectivity; Motivation; Personality; Retention

Indexed keywords

EID: 84880998592     PISSN: 00220663     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0028496     Document Type: Article

References (55)

1. ACT. (2008). 2008 Retention/completion summary tables. Retrieved from http://www.act.org/research/policymakers/pdf/retain_trends.pdf
2. Aitken, N. D. (1982). College student performance, satisfaction, and retention: Specification and estimation of a structural model. Journal of Higher Education, 53, 32-50. doi: http://www.jstor.org/stable/1981537
3. American College Health Association. (2007). American College Health Association National College Health Assessment spring 2006 reference group data report (abridged). Journal of American College Health, 55, 195-206. doi:10.3200/JACH.55.4.195-206
4. Asparouhov, T., Masyn, K., & Muthén, B. (2006, August). Continuous time survival in latent variable models. In Proceedings of the Joint Statistical Meeting in Seattle, Washington, American Statistical Association Section on Biometrics, 180-187.
5. Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
6. Barrick, M. R., Mount, M. K., & Judge, T. A. (2001). Personality and performance at the beginning of the new millennium: What do we know and where do we go next? International Journal of Selection and Assessment, 9, 9-30. doi:10.1111/1468-2389.00160
7. Bean J. P. (1980). Dropout and turnovers: The synthesis and test of a causal model of student attrition. Research in Higher Education 12, 155-187 doi:10.1007/BF00976194
8. Borman, W. C., White, L. A., Pulakos, E. D., & Oppler, S. H. (1991). Models of supervisory job performance ratings. Journal of Applied Psychology, 76, 863-872. doi:10.1037/0021-9010.76.6.863
9. Bozick, R. (2007). Making it through the first year of college: The role of student's economic resources, employment, and living arrangement. Sociology of Education, 80, 261-285. doi:10.1177/003804070708000304
10. Brett, J. F., Brief, A. P., Burke, M. J., George, J. M., & Webster, J. (1990). Negative affectivity and the reporting of stressful life events. Health Psychology, 9, 57-68. doi:10.1037/0278-6133.9.1.57
11. Campbell, J. P. (1990). Modeling the performance prediction problem in industrial and organizational psychology. In M. D. Dunnette & L. Hough (Eds.), Handbook of industrial and organizational psychology (Vol. 2, pp. 687-732). Palo Alto, CA: Consulting Psychologist Press.
12. Chamorro-Premuzic, T., & Furnham, A. (2003). Personality predicts academic performance: Evidence from two longitudinal university samples. Journal of Research in Personality, 37, 319-338. doi:10.1016/S0092-6566(02)00578-0
13. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Erlbaum.
14. Conn, S. R., & Rieke, M. L. (1994). 16 PF technical manual (5th ed.). Champaign, IL: Institute for Personality and Ability Testing.
15. Costa, P. T., Jr., & McCrae, R. R. (1992a). Normal personality assessment in clinical practice: The NEO Personality Inventory. Psychological Assessment, 4, 5-13.
16. Costa, P. T., Jr., & McCrae, R. R. (1992b). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI). Odessa, FL: Psychological Assessment Resources.
17. Cote, S., Saks, A. M., & Zikic, J. (2006). Trait affect and job search outcomes. Journal of Vocational Behavior, 68, 233-252. doi:10.1016/j.jvb.2005.08.001.
18. Credé, M., & Kuncel, N. R. (2008). Study habits, skills, and attitudes: The third pillar supporting collegiate academic performance. Perspectives on Psychological Science, 3, 425-453. doi:10.1111/j.1745-6924.2008.00089.x
19. Digman, J. M. (1990). Personality structure: Emergence of the Five-Factor model. Annual Review of Psychology, 41, 417-440. doi:10.1146/annurev.ps.41.020190.002221
20. Feldman, M. J. (1993). Factors associated with one-year retention in a community college. Research in Higher Education, 34, 503-512. doi: 10.1007/BF00991857
21. Flynn, J. R. (1999). Searching for justice: The discovery of IQ gains over time. American Psychologist, 54, 5-20. doi:10.1037/0003-066X.54.1.5
22. Gerhardt, M. W., & Brown, K. G. (2006). Individual differences in selfefficacy development: The effects of goal orientation and affectivity. Learning and Individual Differences, 16, 43-59. doi:1041-6080, DOI:10.1016/j.lindif.2005.06.006
23. Goldberg, L. R. (1990). An alternative "description of personality": The Big-Five factor structure. Journal of Personality and Social Psychology, 59, 1216-1229. doi:10.1037/0022-3514.59.6.1216
24. Harackiewicz, J. M., Barron, K. E., Tauer, J. M., & Elliot, A. J. (2002). Predicting success in college: A longitudinal study of achievement goals and ability measures as predictors of interest and performance from freshman through graduation. Journal of Educational Psychology, 94, 562-575. doi:10.1037/0022-0663.94.3.562
25. Harrison, D. A., & Martocchio, J. J. (1998). Time for absenteeism: A 20-year review of origins, offshoots, and outcomes. Journal of Management, 24, 305-350. doi: 10.1016/S0149-2063(99)80064-6
26. Hough, L. M., & Schneider, R. J., (1996). Personality traits, taxonomies, and applications in organizations. In K. R. Murphy (Ed.), Individual differences and behavior in organizations (pp. 31-88). San Francisco, CA: Jossey-Bass.
27. Ishitani, T. T. (2006). Studying attrition and degree completion behavior among first-generation college students in the United States. Journal of Higher Education, 77, 861-885. http://www.jstor.org/stable/3838790. doi:10.1353/jhe.2006.0042
28. Iverson, R. D., Olekalns, M., & Erwin, P. J. (1998). Affectivity, organizational stressors, and absenteeism: A causal model of burnout and its consequences. Journal of Vocational Behavior, 52, 1-23. doi:10.1006/jvbe.1996.1556
29. John, O. P., & Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102-138). New York, NY: Guilford.
30. Judge, T. A., Martocchio, J. J., & Thoresen, C. J. (1997). Five-factor model of personality and employee absence. Journal of Applied Psychology, 82, 745-755. doi:10.1037/0021-9010.82.5.745
31. Kahn, J. H., & Nauta, M. M. (2001). Social- cognitive predictors of first-year persistence: The importance of proximal assessment. Research in Higher Education, 42, 633-652. doi:10.1023/A:1012225510213
32. Kanfer, R., & Ackerman, P. L. (1989). Motivation and cognitive abilities: An integrative/aptitude-treatment approach to skill acquisition. Journal of Applied Psychology, 74, 657-690. doi:10.1037/0021-9010.74.4.657
33. Kuncel, N. R., Hezlett, S. A., & Ones, D. S. (2004). Academic performance, career potential, creativity, and job performance: Can one construct predict them all? Journal of Personality and Social Psychology, 86, 148-161. doi:10.1037/0022-3514.86.1.148
34. Lesik, S. A. (2007). Do developmental mathematics programs have a causal impact on student retention? An application of discrete-time survival and regression- discontinuity analysis. Research in Higher Education, 48, 583-608. doi:10.1007/s11162-006-9036-1
35. McCloy, R. A., Campbell, J. P., & Cudeck, R. (1994). A confirmatory test of a model of performance determinants. Journal of Applied Psychology, 79, 493-505. doi:10.1037/0021-9010.79.4.493
36. Mills, C., Heyworth, J., Rosenwax, L., Carr, S., & Rosenberg, M. (2009). Factors associated with the academic success of first year health science students. Advances in Health Sciences Education, 14, 205-217. doi: 10.1007/s10459-008-9103-9
37. Murtaugh, P. A., Burns, L. D., & Schuster, J. (1999). Predicting the retention of university students. Research in Higher Education, 40, 355-371. doi:10.1023/A:1018755201899
38. Muthén, B., & Masyn, K. (2005). Discrete-time survival mixture analysis. Journal of Educational and Behavioral Statistics, 30, 27-58. doi: 10.3102/10769986030001027
39. Muthén, B., & Muthén, L. K. (1998-2010). Mplus [Computer software]. Los Angeles, CA: Authors.
40. National Audit Office (2007). Staying in the course: The retention of student in higher education. Report by the Comptroller and Auditor. London, England: The Stationery Office. Available from http://www.nao.org.uk/publications/0607/student_retention_in_higher_ed.apex
41. Neisser, U., Boodoo, G., Bouchard, T. J., Boykin, A. W., Brody, N., Ceci, S. J.,... Urbina, S. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51, 77-101. doi:10.1037/0003-066X.51.2.77
42. Ransdell, S. (2001). Predicting college success: The importance of ability and non-cognitive variables. International Journal of Educational Research, 35, 357-364. doi:10.1016/S0883-0355(01)00032-5
43. Sackett, P. R., Hardison, C. M., & Cullen, M. J. (2004). On interpreting stereotype threat as accounting for African American-White differences on cognitive tests. American Psychologist, 59, 7-13. doi:10.1037/0003-066X.59.1.7
44. Spector, P. E., Chen, P. Y., & O'Connell, B. J. (2000). A longitudinal study of relations between job stressors and strains while controlling for prior negative affectivity and strains. Journal of Applied Psychology, 85, 211-218. doi:10.1037/0021-9010.85.2.211
45. Thoresen, C. J., Kaplan, S. A., Barsky, A., Warren, C. R., & de Chermont, K. (2003). The affective underpinnings of job perceptions and attitudes: A meta-analytic review and integration. Psychological Bulletin, 129, 914-945. doi:10.1037/0033-2909.129.6.914
46. Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45, 89-125. doi: 10.3102/00346543045001089
47. Towbes, L. C., & Cohen, L. H. (1996). Chronic stress in the lives of college students: Scale development and prospective prediction of distress. Journal of Youth and Adolescence, 25, 199-217. doi:10.1007/BF01537344
48. Tross, S. A., Harper, J. P., Osher, L. W., & Kneidinger, L. M. (2000). Not just the usual cast of characteristics: Using personality to predict college performance. Journal of College Student Development, 41, 323-334.
49. U.S. News & World Report. (2008). U.S. News & World Report on college rankings. Retrieved from http://colleges.usnews.rankingsandreviews.com/usnews/edu/college/rankings/about/weight_brief.php
50. Voelkle, M. C., & Sander, N. (2008). University dropout: A structural equation modeling approach to discrete-time survival analysis. Journal of Individual Differences, 29, 134-147. doi:10.1027/1614-0001.29.3.134
51. Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063-1070. doi:10.1037/0022-3514.54.6.1063
52. Wolfe, R. N., & Johnson, S. D. (1995). Personality as a predictor of college performance. Educational and Psychological Measurement, 55, 177-185. doi:10.1177/0013164495055002002
53. Wright, T. A., & Cropanzano, R. (2000). Psychological well-being and job satisfaction as predictors of job performance. Journal of Occupational Health Psychology, 5, 84-94. doi:10.1037/1076-8998.5.1.84
54. Zellars, K. L., Perrewe, P. L., Hochwarter, W. A., & Anderson, K. S. (2006). The interactive effects of positive affect and conscientiousness on strain. Journal of Occupational Health Psychology, 11, 281-289. doi:10.1037/1076-8998.11.3.281
55. Zyphur, M. J., Bradley, J. C., Landis, R. S., & Thoresen, C. J. (2007). The effects of cognitive ability and conscientiousness on performance over time: A censored latent growth model. Human Performance, 21, 1-27. doi:10.1080/08959280701521967