Shifting Gears: Characteristics and Consequences of Latent Class Transitions in Doctoral Socialization
Using a national sample of 336 biology Ph.D. students, this study classified students based on their interactions with faculty and peers, and investigated longitudinal changes in their interaction classifications over 3 years. We also examined associations between students’ interaction classifications, their demographic backgrounds (e.g., gender, international student status, first-generation status, and underrepresented racial/ethnic minority status), and doctoral outcomes (e.g., sense of belonging, satisfaction with academic development, institutional commitment, and scholarly productivity). The findings revealed that three distinct subgroups existed among the current sample of biology Ph.D. students, with respect to their interactions with their faculty and peers: high interaction with faculty and peers, high interaction with peers only, and low interaction with faculty and peers. However, such patterns of doctoral students’ interactions with faculty and peers tended to, in general, be stable over time. In addition, while the differential effects of demographic variables on changes in these interaction patterns were widely founded, such changes were not substantially linked to doctoral student outcomes. Implications for research on doctoral education and socialization theory are discussed.
KeywordsDoctoral socialization Faculty-student interaction Peer interaction Person-centered approach Latent transition analysis
The authors gratefully acknowledge the support of the National Science Foundation. This material is based upon work supported under Awards 1431234 and 1760894. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
- Anderson, M. S., & Swazey, J. P. (1998). Reflections on the graduate student experience: An overview. In M. S. Anderson (Ed.), The experience of being in graduate school: An exploration. New directions for teaching and learning, no. 101 (pp. 3–13). San Francisco, CA: Jossey-Bass.Google Scholar
- Austin, A. E. (2002). Preparing the next generation of faculty. The Journal of Higher Education, 73, 94–122.Google Scholar
- Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis. Hoboken, NJ: Wiley.Google Scholar
- Cumming, J. (2009). Representing doctoral practice in the laboratory sciences. In D. Boud & A. Lee (Eds.), Changing practices of doctoral education (pp. 113–125). Abingdon: Routledge.Google Scholar
- Eddy, S. L., Brownell, S. E., & Wenderoth, M. P. (2014). Gender gaps in achievement and participation in multiple introductory biology classrooms. CBE: Life Sciences Education, 13(3), 478–492.Google Scholar
- Gardner, S. K., & Mendoza, P. (Eds.). (2012). On becoming a scholar: Socialization and development in doctoral education. Sterling, VA: Stylus Publishing.Google Scholar
- Golde, C., Bueschel, A., Jones, L., & Walker, G. E. (2006). Apprenticeship and intellectual community: Lessons from the Carnegie Initiative on the Doctorate. Paper presented at the doctoral education and the faculty of the future conference, Cornell University, Ithaca, New York.Google Scholar
- Magidson, J., & Vermunt, J. (2002). Latent class models for clustering: A comparison with K-means. Canadian Journal of Marketing Research, 20(1), 36–43.Google Scholar
- Maher, M. A., Gilmore, J. A., Feldon, D. F., & Davis, T. E. (2013). Cognitive apprenticeship and the supervision of science and engineering research assistants. Journal of Research Practice, 9(2), Article M5. Retrieved from http://jrp.icaap.org/index.php/jrp/article/view/354/311.
- Muthén, B., & Asparouhov, T. (2002). Latent variable analysis with categorical outcomes: Multiple-group and growth modeling in Mplus. Mplus Web Notes, 4(5), 1–22.Google Scholar
- Muthén, L.K., & Muthén, B.O. (1998–2017). Mplus User’s Guide. Eighth Edition. Los Angeles, CA: Muthén & Muthén.Google Scholar
- National Center for Science and Engineering Statistics. (2017). Survey of doctorate recipients 2013. Employed doctoral scientists and engineers, by field of doctorate, ethnicity, race, and sex: 2013. Retrieved from https://ncsesdata.nsf.gov/doctoratework/2013/html/SDR2013_DST8.html
- National Science Foundation (NSF). (2015). Doctorate recipients from U.S. universities. Washington, DC: Author.Google Scholar
- National Science Foundation (NSF). (2017). Survey of graduate students and postdoctorates in science and engineering Fall 2017. Retrieved from https://ncsesdata.nsf.gov/gradpostdoc/2017
- Nettles, M. T., & Millett, C. M. (2006). Three magic letters: Getting to Ph.D. Baltimore, MD: Johns Hopkins University Press.Google Scholar
- Nylund, K. (2007). Latent transition analysis: Modeling extensions and an application to peer victimization. Unpublished doctoral dissertation, University of California, Los Angeles.Google Scholar
- Sowell, R., Bell, N., & Mahler, J. (2008). Ph.D. completion and attrition: Analysis of baseline demographic data from the Ph.D. Completion project. Washington, DC: Council of Graduate Schools Ph.D. Completion Project. Retrieved from http://www.phdcompletion.org/information/book2.asp
- Twale, D. J., Weidman, J. C., & Bethea, K. (2016). Conceptualizing socialization of graduate students of color: Revisiting the Weidman-Twale-Stein Framework. Western Journal of Black Studies, 40(2), 89–94.Google Scholar
- Weidman, J. C., Twale, D. J., & Stein, E. L. (2001). Socialization of graduate and professional students: A perilous passage? ASHE-ERIC Higher Education Report, 28, No. 3. San Francisco, CA: Jossey-Bass.Google Scholar
- Wulff, D. H., Austin, A. E., Nyquist, J. D., & Sprague, J. (2004). The development of graduate students as teaching scholars: a four-year longitudinal study. In D. Wulff & A. Austin (Eds.), Paths to the professoriate: strategies for enriching the preparation of future faculty. San Francisco: Jossey-Bass.Google Scholar