Research skills and STEM undergraduate research students' aspirations for research careers: Mediating effects of research self-efficacy

Journal of Research in Science Teaching

Volumn 50, Issue 8, 2013, Pages 940-951

  Adedokun, Omolola A ^a   Bessenbacher, Ann B ^a   Parker, Loran C ^a   Kirkham, Lisa L ^a   Burgess, Wilella D ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

aspirations for research careers; research self efficacy; research skills; social cognitive career theory; structural equation modeling; undergraduate research experiences

Indexed keywords

ASPIRATIONS FOR RESEARCH CAREERS; RESEARCH SKILLS; SELF EFFICACY; SOCIAL COGNITIVE CAREER THEORY; STRUCTURAL EQUATION MODELING; UNDERGRADUATE RESEARCH;

STUDENTS;

RESEARCH;

EID: 84883885873     PISSN: 00224308     EISSN: 10982736     Source Type: Journal    
DOI: 10.1002/tea.21102     Document Type: Article

References (37)

1. Adedokun, O. A., &, Burgess, W. D., (2011). Uncovering students' preconceptions of undergraduate research experiences. Journal of STEM Education, 12 (5&6), 12-22.
2. Adedokun, O. A., Zhang, D., Parker, L. C., Bessenbacher, A., Childress, A., &, Burgess, W. D., (2012). Towards an understanding of the processes of the effects of undergraduate research experiences on students' aspirations for research careers and graduate education. Journal of College Science Teaching, 42 (1), 82-91.
3. Arbuckle, J. L., (2005). Amos (version 6.0) [computer software]. Chicago: SPSS, Inc.
4. Bandura, A., (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-Hall.
5. Bandura, A., (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.
6. Bauer, K. W., &, Bennett, J. S., (2003). Alumni perceptions used to assess undergraduate research experience. The Journal of Higher Education, 74 (2), 210-230.
7. Berkes, E., (2007). Practicing biology: Undergraduate laboratory research persistence in science, and the impact of self-efficacy beliefs. Dissertation Abstracts International Section A: Humanities and Social Sciences, 68(6-A), 2388.
8. Berkes, E., (2009). Mentoring takes a village: Maximizing undergraduate research potential by building cohesive learning communities. Student Experience in the Research University. (SERU) Project, UC Berkeley: Accessed June 30, 2009 at http://cshe.berkeley.edu/publications/docs/eberkes-mentoring.pdf
9. Bieschke, K. J., Bishop, R. M., &, Garcia, V. L., (1996). The utility of the research self-efficacy scale. Journal of Career Assessment, 4, 59-75.
10. Gibson, P. R., Kahn, A. S., &, Mathie, V. A., (1996). Undergraduate research groups: Two models. Teaching of Psychology, 23 (1), 36-38.
11. Hathaway, R. S., Nagada, B. A., &, Gregerman, S. R., (2002). The relationship of undergraduate research participation to graduate and professional education pursuit: An empirical study. Journal of College Student Development, 43 (5), 14-31.
12. Hunter, A. B., Laursen, S. L., &, Seymour, E., (2007). Becoming a scientist: The role of undergraduate research in students' cognitive, personal, and professional development. Science education, 91, 36-74. doi: 10.1002/sce.20173
13. Kardash, C. M., (2000). Evaluation of an undergraduate research experience: Perceptions of undergraduate interns and their faculty mentors. Journal of Educational Psychology, 92 (1), 191-201.
14. Kline, R. B., (2005). Principles and practice of structural equation modeling. 2nd edition. New York: Guilford Press.
15. Lent, R. W., Brown, S. D., &, Hackett, G., (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance [monograph]. Journal of Vocational Behavior, 45, 79-122.
16. Lent, R. W., Brown, S. D., &, Hackett, G., (1996). Career development from a social cognitive perspective. In, D. Brown, &, L. Brooks, (Eds.), Career choice and development (pp. 373-421). San Francisco, CA: Jossey-Bass, Inc.
17. Lent, R. W., Brown, S. D., &, Hackett, G., (2000). Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counseling Psychology, 47 (1), 36-49.
18. Lent, R. W., Brown, S. D., Sheu, H., Schmidt, J., Brenner, B. R., Gloster, C. S.,., Treistman, D., (2005). Social cognitive predictors of academic interests and goals in engineering: Utility for women and students at historically Black universities. Journal of Counseling Psychology, 52, 84-92.
19. Lent, R. W., &, Brown, S. D., (2006). On conceptualizing and assessing social cognitive constructs in career research: A measurement guide. Journal of Career Assessment, 14, 12-35.
20. Livingston, E. H., (2004). The mean and standard deviation: What does it all mean ? Journal of Surgical Research, 119, 117-123.
21. Lopatto, D., (2004). Survey of undergraduate research experiences (SURE): First findings. Cell Biology Education, 3, 270-277.
22. Lopatto, D., (2007). Undergraduate research experiences support science career decisions and active learning. CBE Life Sciences Education 6, 297-306.
23. Nagda, B. A., Gregerman, S. R., Jonides, J., von Hippel, W., &, Lerner, J. S., (1998). Undergraduate student-faculty research partnerships affect student retention. The Review of Higher Education 22 (1), 55-72.
24. Pajares, F., (2003). Self-efficacy beliefs, motivation, and achievement in writing: A review of the literature. Reading and Writing Quarterly, 19 (2), 139-158.
25. Preacher, K. J., &, Hayes, A. F., (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in simple and multiple mediator models. Behavior Research Methods, 40 (3), 879-891.
26. Preacher, K. J., &, Selig, J. P., (2012). Advantages of Monte Carlo confidence intervals for indirect effects. Communication Methods and Measures, 6, 77-98.
27. Russell, S. H., (2005). Evaluation of NSF support for undergraduate research opportunities: Draft synthesis report executive summary. Available online at: http://www.sri.com/policy/csted/reports/university/documents/ UROreportjune05.pdf
28. Russell, S. H., Hancock, M. P., &, McCullough, J., (2007). The pipeline: Benefits of undergraduate research experiences. Science, 316, 548-549.
29. Sabatini, D. A., (1997). Teaching and research synergism: The undergraduate research experience. Journal of Professional Issues in Engineering Education and Practice, 123 (3), 98-102.
30. Sadler, T. D., Burgin, S., McKinney, L., &, Ponjuan, L., (2010). Learning science through research apprenticeships: A critical review of the literature. Journal of Research in Science Teaching, 47, 235-256.
31. Seymour, E. L., Hunter, A. B., Laursen, S., &, De Antoni, T., (2004). Establishing the benefits of research experiences for undergraduates: First findings from a three-year study. Science Education, 88, 493-594. doi: 10.1002/sce.10131
32. Stephenson, M. T., &, Holbert, R. L., (2003). A Monte Carlo simulation of observable-versus latent-variable structural equation modeling techniques. Communication Research, 30, 332-354.
33. Starke, M. C., (1985). A research practicum: Undergraduates as assistants in psychological research. Teaching of Psychology, 12 (3), 158-160.
34. Strayhorn, T. L., (2010). Does learning about research affect the graduate degree aspirations of STEM undergraduates? A path analysis. Paper presented at the 40th Annual Frontiers in Education Conference, October 27-30, 2010, Washington, DC.
35. Thiry, H., &, Laursen, S. L., (2009). Student outcomes from undergraduate research: An evaluation of three academic year and summer undergraduate research programs in the life sciences at the University of Colorado, Boulder, 2007-2008. Retrieved from http://colorado.edu/eer/research/ documents/BSI-NIH-URsurveyReport2009.pdf
36. Villarejo, M., Barlow, A. E., Kogan, D., Veazey, B. D., &, Sweeney, J. K., (2008). Encouraging minority undergraduates to choose science careers: Career paths survey results. CBE Life Science Education, 7 (4): 394-409.
37. Westland, J. C., (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9 (6), 476-487.