Using methods of multidimensional analysis to research decision making in academic career choice
stmm. 2023 (3): 71-89
DOI https://doi.org/10.15407/sociology2023.03.071
Full text: http://stmm.in.ua/archive/ukr/2023-3/7.pdf
PAVLO SEREDA, MA (Sociology), NaUKMA (8/5 Volosska St., Building 4, Kyiv, 04655)
pavelsereda@yahoo.com
KATERYNA MALTSEVA, PhD (Philosophy), PhD (Anthropology), Associate Professor, Head of theDepartment of Sociology, NaUKMA (8/5 Volosska St., Building 4, Kyiv, 04655)
maltsevaKS@ukma.edu.ua
http://orcid.org/0000-0001-6540-8734
The decision that students make regarding his or her further education or professional career is a complex process driven by multiple different factors. On the global scale, this research direction represents an important strategic tangent, given the significance of the universities in the formation of virtually all aspects of one’s life after graduation. It is equally crucial in the Ukrainian context, considering the educational reforms that are currently taking place in our country. As motivation to make a choice and embark on a particular career trajectory can be informed by different sources and is thus a multifactorial entity, so researching factors that affect academic career choice should accomodate multiple dimensions. To optimize the analytical procedures and to increase the informativeness of the results in our survey we employ methods of multidimensional analysis to explore and explain various aspects of decision making that can influence one’s choice of the institution for further education. To elicit the determinants of the university choice and to illustrate the effects of various factors in different domains of career choice, we use the cognitive self-report data collected from the NaUKMA undergraduates in Spring 2019. The results suggest that in students’ perception institutional characteristics of the NaUKMA, social atmosphere, academic climate and personal features of a student emerge as distinct factors. In the set of factors, the institutional characteristics were subdivided into the evaluation of the quality of the received education and strategic argument against applying for a postgraduate degree at the NaUKMA. Social atmosphere and academic climate, in their turn, split into social atmosphere, academic climate and being socially connected with individuals currently enrolled as MA students. Personal features were further subdivided into career values, attitudes toward one’s studies and attitudes towards the MA programmes. Positive evaluation of NaUKMA’s institutional characteristics has a positive correlation with one’s intentions of joining the programme and continuing one’s studies at NaUKMA, and a negative correlation with planning to apply to MA programmes abroad or elsewhere in Ukraine. Planning to avail of the international mobility programmes had a positive effect on choosing to join the MA programme at NaUKMA.
Keywords: university; academic career; motivation; decision making; multidimensional analysis
References
Biancani, S., & McFarland, D. A. (2013). Social networks research in higher education. In: M. Paulsen (Ed.), Higher education: Handbook of theory and research, 28. Dordrecht: Springer. https://doi.org/10.1007/978-94-007-5836-0_4
Bourdieu, P. (1979). La distinction: Critique sociale du jugement. Paris: Editions de Minuit.
Burt, R. (2004). Structural holes and good ideas. American Journal of Sociology, 110(2), 349-399. https://doi.org/10.1086/421787
Carrell, S. L., Fullerton, R., & West, J. (2009). Does your cohort matter? Measuring peer effects in college achievement. Journal of Labor Economics, 27, 439-464. https://doi.org/10.1086/600143
Coleman, J. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, 95-120. https://doi.org/10.1086/228943
Deil-Amen, R. (2011). Socio-academic integrative moments: Rethinking academic and social integration among two-year college students in career-related programs. The Journal of Higher Education, 82(1), 54-91. https://doi.org/10.1353/jhe.2011.0006
Eagan, M. K., Hurtado, S., Chang, M. J., Garcia, G. A., Herrera, F. A., & Garibay, J. C. (2013). Making a difference in science education: The impact of undergraduate research programs. American Educational Research Journal, 50(4), 683-713. https://doi.org/10.3102/0002831213482038
English, D., & Umbach, P. D. (2016). Graduate school choice: An examination of individual and institutional effects. The Review of Higher Education, 39(2), 173-211. https://doi.org/10.1353/rhe.2016.0001
Ethington, C. A., & Smart, J. C. (1986). Persistence to graduate education. Research in Higher Education, 24, 287-303. https://doi.org/10.1007/BF00992076
Goldrick-Rab, S. (2006). Following their every move: An investigation of social-class differences in college pathways. Sociology of Education, 79(1), 67-79. https://doi.org/10.1177/003804070607900104
Golle, J., Rose, N., Gallner, R., Spengler, M., Stoll, G., Hubner, N., & Nagengast, B. (2019). School or work? The choice may change your personality. Psychological Science, 30(1), 32-42. https://doi.org/10.1177/0956797618806298
Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380. https://doi.org/10.1086/225469
Hackett, G., & Betz N. E. (1995). Self-efficacy and career choice and development. In: J. E. Maddux (Ed.), Self-Efficacy, Adaptation, and Adjustment. The Plenum Series in Social/Clinical Psychology. Boston, MA: Springer. https://doi.org/10.1007/978-1-4419-6868-5_9
Johnson, M., & Elder, G. (2002). Educational pathways and work value trajectories. Sociological Perspectives, 45(2), 113-138. https://doi.org/10.1525/sop.2002.45.2.113
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79-122. https://doi.org/10.1006/jvbe.1994.1027
Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511815447
Mullainathan, S. & Shafir, E. (2013). Scarcity: Why having too little means so much. New York: Times Books.
Mullen, A., Goyette, K., & Soares, J. (2003). Who goes to graduate school? Social and academic correlates of educational continuation after college. Sociology of Education, 76(2), 143-169. https://doi.org/10.2307/3090274
Nevill, С. S. & Chen, X. (2007). The path through graduate school: A longitudinal examination 10 years after bachelor's degree. Postsecondary Education Descriptive Analysis Report. NCES 2007-162.
Nora, A. (2004). The role of habitus and cultural capital in choosing a college, transitioning from high school to higher education, and persisting in college among minority and nonminority students. Journal of Hispanic Higher Education, 3(2), 180-208. https://doi.org/10.1177/1538192704263189
Stolzenberg, R. M. (1994). Educational continuation by college graduates. American Journal of Sociology, 99, 1042-1077. https://doi.org/10.1086/230371
Veloutsou, C., Lewis, J. W., & Paton, R. A. (2004), University selection: information requirements and importance, International Journal of Educational Management, 18(3), 160-171. https://doi.org/10.1108/09513540410527158
Zhang, L. (2005). Advance to graduate education: The effect of college quality and undergraduate majors. The Review of Higher Education, 28(3), 313-338. https://doi.org/10.1353/rhe.2005.0030
Received 12.07.2023
Using methods of multidimensional analysis to research decision making in academic career choice
stmm. 2023 (3): 71-89
DOI https://doi.org/10.15407/sociology2023.03.071
Full text: http://stmm.in.ua/archive/ukr/2023-3/7.pdf
PAVLO SEREDA, MA (Sociology), NaUKMA (8/5 Volosska St., Building 4, Kyiv, 04655)
pavelsereda@yahoo.com
KATERYNA MALTSEVA, PhD (Philosophy), PhD (Anthropology), Associate Professor, Head of theDepartment of Sociology, NaUKMA (8/5 Volosska St., Building 4, Kyiv, 04655)
maltsevaKS@ukma.edu.ua
http://orcid.org/0000-0001-6540-8734
The decision that students make regarding his or her further education or professional career is a complex process driven by multiple different factors. On the global scale, this research direction represents an important strategic tangent, given the significance of the universities in the formation of virtually all aspects of one’s life after graduation. It is equally crucial in the Ukrainian context, considering the educational reforms that are currently taking place in our country. As motivation to make a choice and embark on a particular career trajectory can be informed by different sources and is thus a multifactorial entity, so researching factors that affect academic career choice should accomodate multiple dimensions. To optimize the analytical procedures and to increase the informativeness of the results in our survey we employ methods of multidimensional analysis to explore and explain various aspects of decision making that can influence one’s choice of the institution for further education. To elicit the determinants of the university choice and to illustrate the effects of various factors in different domains of career choice, we use the cognitive self-report data collected from the NaUKMA undergraduates in Spring 2019. The results suggest that in students’ perception institutional characteristics of the NaUKMA, social atmosphere, academic climate and personal features of a student emerge as distinct factors. In the set of factors, the institutional characteristics were subdivided into the evaluation of the quality of the received education and strategic argument against applying for a postgraduate degree at the NaUKMA. Social atmosphere and academic climate, in their turn, split into social atmosphere, academic climate and being socially connected with individuals currently enrolled as MA students. Personal features were further subdivided into career values, attitudes toward one’s studies and attitudes towards the MA programmes. Positive evaluation of NaUKMA’s institutional characteristics has a positive correlation with one’s intentions of joining the programme and continuing one’s studies at NaUKMA, and a negative correlation with planning to apply to MA programmes abroad or elsewhere in Ukraine. Planning to avail of the international mobility programmes had a positive effect on choosing to join the MA programme at NaUKMA.
Keywords: university; academic career; motivation; decision making; multidimensional analysis
References
Biancani, S., & McFarland, D. A. (2013). Social networks research in higher education. In: M. Paulsen (Ed.), Higher education: Handbook of theory and research, 28. Dordrecht: Springer. https://doi.org/10.1007/978-94-007-5836-0_4
Bourdieu, P. (1979). La distinction: Critique sociale du jugement. Paris: Editions de Minuit.
Burt, R. (2004). Structural holes and good ideas. American Journal of Sociology, 110(2), 349-399. https://doi.org/10.1086/421787
Carrell, S. L., Fullerton, R., & West, J. (2009). Does your cohort matter? Measuring peer effects in college achievement. Journal of Labor Economics, 27, 439-464. https://doi.org/10.1086/600143
Coleman, J. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, 95-120. https://doi.org/10.1086/228943
Deil-Amen, R. (2011). Socio-academic integrative moments: Rethinking academic and social integration among two-year college students in career-related programs. The Journal of Higher Education, 82(1), 54-91. https://doi.org/10.1353/jhe.2011.0006
Eagan, M. K., Hurtado, S., Chang, M. J., Garcia, G. A., Herrera, F. A., & Garibay, J. C. (2013). Making a difference in science education: The impact of undergraduate research programs. American Educational Research Journal, 50(4), 683-713. https://doi.org/10.3102/0002831213482038
English, D., & Umbach, P. D. (2016). Graduate school choice: An examination of individual and institutional effects. The Review of Higher Education, 39(2), 173-211. https://doi.org/10.1353/rhe.2016.0001
Ethington, C. A., & Smart, J. C. (1986). Persistence to graduate education. Research in Higher Education, 24, 287-303. https://doi.org/10.1007/BF00992076
Goldrick-Rab, S. (2006). Following their every move: An investigation of social-class differences in college pathways. Sociology of Education, 79(1), 67-79. https://doi.org/10.1177/003804070607900104
Golle, J., Rose, N., Gallner, R., Spengler, M., Stoll, G., Hubner, N., & Nagengast, B. (2019). School or work? The choice may change your personality. Psychological Science, 30(1), 32-42. https://doi.org/10.1177/0956797618806298
Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380. https://doi.org/10.1086/225469
Hackett, G., & Betz N. E. (1995). Self-efficacy and career choice and development. In: J. E. Maddux (Ed.), Self-Efficacy, Adaptation, and Adjustment. The Plenum Series in Social/Clinical Psychology. Boston, MA: Springer. https://doi.org/10.1007/978-1-4419-6868-5_9
Johnson, M., & Elder, G. (2002). Educational pathways and work value trajectories. Sociological Perspectives, 45(2), 113-138. https://doi.org/10.1525/sop.2002.45.2.113
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79-122. https://doi.org/10.1006/jvbe.1994.1027
Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511815447
Mullainathan, S. & Shafir, E. (2013). Scarcity: Why having too little means so much. New York: Times Books.
Mullen, A., Goyette, K., & Soares, J. (2003). Who goes to graduate school? Social and academic correlates of educational continuation after college. Sociology of Education, 76(2), 143-169. https://doi.org/10.2307/3090274
Nevill, С. S. & Chen, X. (2007). The path through graduate school: A longitudinal examination 10 years after bachelor's degree. Postsecondary Education Descriptive Analysis Report. NCES 2007-162.
Nora, A. (2004). The role of habitus and cultural capital in choosing a college, transitioning from high school to higher education, and persisting in college among minority and nonminority students. Journal of Hispanic Higher Education, 3(2), 180-208. https://doi.org/10.1177/1538192704263189
Stolzenberg, R. M. (1994). Educational continuation by college graduates. American Journal of Sociology, 99, 1042-1077. https://doi.org/10.1086/230371
Veloutsou, C., Lewis, J. W., & Paton, R. A. (2004), University selection: information requirements and importance, International Journal of Educational Management, 18(3), 160-171. https://doi.org/10.1108/09513540410527158
Zhang, L. (2005). Advance to graduate education: The effect of college quality and undergraduate majors. The Review of Higher Education, 28(3), 313-338. https://doi.org/10.1353/rhe.2005.0030
Received 12.07.2023