Dakota W. Cintron

Dakota W. Cintron is an Assistant Professor in the Division of Behavioral and Organizational Sciences at Claremont Graduate University. He specializes in advanced quantitative methods in psychology, focusing on latent variable modeling, measurement theory, and causal inference.

Education:

• BS
• MS
• EdM
• PhD

Research interests include studying how psychosocial factors influence well-being and health outcomes over time, particularly in at-risk populations. He applies methods like growth mixture modeling, alignment optimization, and natural language processing to analyze social disparities, emotional dynamics, and long-term health trends.

Selected publications highlight his work on heterogeneous treatment effects in social policies, intersectional measurement invariance, and the use of big data for psychological modeling. His methodological contributions address classification accuracy in mixture models and enhance policy evaluation frameworks.

Teaching:

• Psych 315E: Multilevel Modeling
• Psych 315NN: Bayesian Statistics
• Psych 302: Research Methods (PhD)