Biography

Todd D. Little, PhD is a Professor and director of the Institute for Measurement, Methodology, Analysis and Policy at Texas Tech University. Little is widely recognized for his quantitative work on various aspects of applied SEM (e.g., modern missing data treatments, indicator selection, parceling, modeling developmental processes) as well as his substantive developmental research (e.g., action-control processes and motivation, coping, and self-regulation). In 2001, Little was elected to membership in the Society for Multivariate Experimental Psychology, and in 2009, he was elected President of APA’s Division 5 (Evaluation, Measurement, and Statistics). He founded the internationally renowned ‘Stats Camps’ (see statscamp.org). He is a fellow in APA, APS, and AAAS. He has received numerous awards including the Cohen award from Division 5 of APA for distinguished contributions to teaching and mentoring and the inaugural distinguished contributions award for mentoring developmental scientists from the Society for Research in Child Development.

Website: Statscamp.org

3-052 - Modern Modeling: Guidelines for Best Practice and Useful Innovations

Session Type: Invited Address

Integrative Statement

Best practices in the field of developmental methods are themselves developing. I will review a number of important features of modern modeling in developmental research from design-related features, to measurement-related features as well as analytic approaches. I will focus on latent variable modeling in general covering related topics such as parceling, missing data treatments, and model testing.

Sub Unit

• Invited Program

Chair

• Adam J. Hoffman, University of Michigan

Speaker

• Todd Little, Texas Tech University