Todd D. Little

Todd D. Little is a Professor of Educational Psychology at Texas Tech University, internationally recognized for his work in structural equation modeling (SEM) and developmental psychology. His research spans applied methodology, action-control processes, motivation, coping, and self-regulation, with a focus on developmental trajectories and cross-cultural influences.

Education:

• Ph.D., Developmental Psychology, University of California, Riverside (1988)
• B.A., English Literature, University of California, Riverside (1983)

Little has pioneered innovations in SEM, including indicator selection, parceling, and modeling developmental processes. His substantive research explores motivational self-beliefs, school achievement, and the social-personality nexus in childhood and adolescence. He has authored over 280 publications, including the seminal Longitudinal Structural Equation Modeling (2013), and his work has received over 45,000 citations with an H-index of 95.

His recent publications highlight methodological rigor in longitudinal analysis and practical applications in diverse fields. Topics include chronic wound healing, educational equity, coping during crises, and prevention science, reflecting his interdisciplinary impact.

Scientific Awards and Leadership:

• Elected Member, Society for Multivariate Experimental Psychology (2001)
• President, APA Division 5 (Evaluation, Measurement, and Statistics) (2009)

Little founded Stats Camps, an international training program in quantitative methods, and has served on review panels for NSF, NIH, and the Jacobs Foundation. He has led over 15 grants and consulted on 70+ projects, contributing to measurement tools like the CAMI and Multi-CAM.