Dakota W. Cintron is an Assistant Professor of Psychology in the Division of Behavioral and Organizational Sciences at Claremont Graduate University. His research investigates how well-being and health unfold over time across diverse populations, with particular attention to groups facing systemic disadvantage. To do this, he draws on advanced quantitative methods, including growth mixture modeling, structural equation modeling, and natural language processing, to map the complex relationships between psychosocial factors, health outcomes, and individual development. A central focus of his work is measurement: how to rigorously capture well-being, emotional dynamics, and social health disparities in ways that are both precise and equitable. His scholarship has advanced intersectional approaches to measurement invariance testing and graphical modeling, revealing how structural forces shape everyday experience and long-term outcomes. He is also co-author of Introduction to Modern Modeling Methods and has contributed to research spanning health policy, intersectionality, and psychological resilience.
Dakota W. Cintron, PhD
