Data-Informed Decision-Making in Higher Education

Author:

Liu Ying

Publisher

Springer Nature Switzerland

Reference7 articles.

1. Bean, J. P., & Metzner, B. S. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55, 485–540.

2. Bell, S. (1998). College transfer students: A Canadian case. Community College Journal of Research and Practices, 22, 21–37.

3. Jenkins, P. D., & Fink, J. (2016). Tracking transfer: New measures of institutional and state effectiveness in helping community college students attain bachelor’s degrees. Community College Research Center, Teachers College, Columbia University. Retrieved online at https://academiccommons.columbia.edu/doi/10.7916/D8SF34SR/download

4. Liu, Y., Ma, Z., & Arora, A. (2019). Applying survival model to college transfer students risk prediction. The 2019 AIR forum, May 27–31, Denver, CO.

5. Menard, K., Liu, Y., & Zhang, J. (2010). A combined approach for retention research: Data mining and discrete hazard model. Unpublished paper, presented at the 50th AIR forum, May 2010, Chicago.

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