Structural topic models for the automated measurement of entrepreneurial motivation among college students of different disciplines

References

• Bandera, C., Eminet, A., Passerini, K., & Pon, K. (2018). 6. Cross-cultural entrepreneurship education: Localization amidst globalization. In Annals of entrepreneurship education and pedagogy–2018 (p. 99). https://doi.org/10.4337/9781788114950.00014
   Google Scholar
• Blei, D. M. (2012). Surveying a suite of algorithms that offer a solution to managing large document archives. Communication of the ACM, 55(4), 77–84. https://doi.org/10.1145/2133806.2133826
   Web of Science ®Google Scholar
• Blenker, P., Trolle, E. S., Hedeboe, F. S., Korsgaard, S., & Wagner, K. (2014). Methods in entrepreneurship education research: A review and integrative framework. Education+ Training, 56(8/9), 697–715. https://doi.org/10.1108/ET-06-2014-0066
   Google Scholar
• Chang, J., & Chang, M. J. (2010). Package “lda.” Citeseer.
   Google Scholar
• Chang, J., Gerrish, S., Wang, C., Boyd-Graber, J. L., & Blei, D. M. (2009). Reading tea leaves: How humans interpret topic models. Advances in Neural Information Processing Systems, 32, 288–296.
   Google Scholar
• Cheng, X., Yan, X., Lan, Y., & Guo, J. (2014). BTM: Topic modeling over short texts. IEEE Transactions on Knowledge and Data Engineering, 26(12), 2928–2941. https://doi.org/10.1109/TKDE.2014.2313872
   Web of Science ®Google Scholar
• Gartner, W. B., & Birley, S. (2002). Introduction to the special issue on qualitative methods in entrepreneurship research. Elsevier.
   Google Scholar
• Kolvereid, L., & Moen, Ø. (1997). Entrepreneurship among business graduates: Does a major in entrepreneurship make a difference? Journal of European Industrial Training, 21(4), 154–160. https://doi.org/10.1108/03090599710171404
   Google Scholar
• Liguori, E., Winkler, C., Winkel, D., Marvel, M. R., Keels, J. K., van Gelderen, M., & Noyes, E. (2018). The entrepreneurship education imperative: Introducing EE&P. SAGE Publications.
   Google Scholar
• Lorz, M., Mueller, S., & Volery, T. (2013). Entrepreneurship education: A systematic review of the methods in impact studies. Journal of Enterprising Culture, 21(2), 123–151. https://doi.org/10.1142/S0218495813500064
   Google Scholar
• Lucas, C., Nielsen, R. A., Roberts, M. E., Stewart, B. M., Storer, A., & Tingley, D. (2015). Computer-assisted text analysis for comparative politics. Political Analysis, 23(2), 254–277. https://doi.org/10.1093/pan/mpu019
   Web of Science ®Google Scholar
• Maresch, D., Harms, R., Kailer, N., & Wimmer-Wurm, B. (2016). The impact of entrepreneurship education on the entrepreneurial intention of students in science and engineering versus business studies university programs. Technological Forecasting and Social Change, 104, 172–179. https://doi.org/10.1016/j.techfore.2015.11.006
   Web of Science ®Google Scholar
• Matlay, H., Taatila, V., & Down, S. (2012). Measuring entrepreneurial orientation of university students. Education+ Training. https://doi.org/10.1108/00400911211274864
   Google Scholar
• Mimno, D., Wallach, H. M., Talley, E., Leenders, M., & McCallum, A. (2011). Optimizing semantic coherence in topic models [Paper presentation]. Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 262–272). Association for Computational Linguistics.
   Google Scholar
• Molina-Azorín, J. F., López-Gamero, M. D., Pereira-Moliner, J., & Pertusa-Ortega, E. M. (2012). Mixed methods studies in entrepreneurship research: Applications and contributions. Entrepreneurship & Regional Development, 24(5–6), 425–456. https://doi.org/10.1080/08985626.2011.603363
   Web of Science ®Google Scholar
• Mullen, M. R., Budeva, D. G., & Doney, P. M. (2009). Research methods in the leading small business–entrepreneurship journals: A critical review with recommendations for future research. Journal of Small Business Management, 47(3), 287–307. https://doi.org/10.1111/j.1540-627X.2009.00272.x
   Web of Science ®Google Scholar
• Quan, X., Kit, C., Ge, Y., & Pan, S. J. (2015). Short and sparse text topic modeling via self-aggregation [Paper presentation]. Twenty-Fourth International Joint Conference on Artificial Intelligence (pp. 2270–2276). AAAI Press/International Joint Conferences on Artificial Intelligence.
   Google Scholar
• Rahman, M. S. (2017). The advantages and disadvantages of using qualitative and quantitative approaches and methods in language “testing and assessment” research: A literature review. Journal of Education and Learning, 6(1), 102–112. https://doi.org/10.5539/jel.v6n1p102
   Google Scholar
• Roberts, M. E., Stewart, B. M., & Tingley, D. (2014). STM: R package for structural topic models. Journal of Statistical Software, 10(2), 1–40.
   Google Scholar
• Roberts, M. E., Stewart, B. M., Tingley, D., & Airoldi, E. M. (2013). The structural topic model and applied social science [Paper presentation]. Advances in Neural Information Processing Systems Workshop on Topic Models: Computation, Application, and Evaluation (Vol. 4, pp. 1–20).
   Google Scholar
• Roberts, M. E., Stewart, B. M., Tingley, D., Lucas, C., Leder-Luis, J., Gadarian, S. K., Albertson, B., & Rand, D. G. (2014). Structural topic models for open-ended survey responses. American Journal of Political Science, 58(4), 1064–1082. https://doi.org/10.1111/ajps.12103
   Web of Science ®Google Scholar
• Shane, S., Locke, E. A., & Collins, C. J. (2003). Entrepreneurial motivation. Human Resource Management Review, 13(2), 257–279. https://doi.org/10.1016/S1053-4822(03)00017-2
   Google Scholar
• Taddy, M. (2012). On estimation and selection for topic models [Paper presentation]. Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR (Vol. 22, pp. 1184–1193).
   Google Scholar
• Zacharakis, A., Bygrave, W., & Corbett, A. C. (2017). Entrepreneurship (4th ed.). John Wiley & Sons.
   Google Scholar
• Zuo, Y., Zhao, J., & Xu, K. (2016). Word network topic model: A simple but general solution for short and imbalanced texts. Knowledge and Information Systems, 48(2), 379–398. https://doi.org/10.1007/s10115-015-0882-z
   Web of Science ®Google Scholar