Dakota W. Cintron is an Assistant Professor at Claremont Graduate University. He received his PhD in educational psychology with a concentration in research methods, measurement, and evaluation from the Neag School of Education at the University of Connecticut. He earned an EdM in measurement and evaluation and MS in applied statistics from Teachers College at Columbia. In the past, he has held positions at the Institute for Health, Health Care Policy and Aging Research, the National Institute for Early Education Research, and Robert Wood Johnson’s Evidence for Action (E4A) program.
Cintron, D. W., & Ong, A. D. (2024). Trajectories of affective well-being and survival in middle-aged and older adults. Emotion.
Cintron, D. W., Matthay, E. C., & McCoach, D. B. (2023). Testing for intersectional measurement invariance with the alignment method: evaluation of the 8‐item patient health questionnaire. Health Services Research, 58, 248-261
Cintron, D. W., Gottlieb, L. M., Hagan, E., Tan, M. L., Vlahov, D., Glymour, M. M., & Matthay, E. C. (2023). A quantitative assessment of the frequency and magnitude of heterogeneous treatment effects in studies of the health effects of social policies. SSM-Population Health, 22, 101352
Cintron, D. W., & Montrosse-Moorhead, B. (2022). Integrating big data into evaluation: R code for topic identification and modeling. American Journal of Evaluation, 43(3), 412-436.
Cintron, D. W., Loken, E., & McCoach, D. B. (2023). A cautionary note about having the right mixture model but classifying the wrong people. Multivariate Behavioral Research, 58(4), 675-686.
McCoach, D. B., & Cintron, D. (2022). Introduction to modern modelling methods. Sage.
Psych 315E Multilevel Modeling
Psych 315NN Bayesian Statistics
Psych 302 Research Methods (PhD)