Craig Enders, Ph.D. is a Professor in the Department of Psychology at the University of California, Los Angeles, where he teaches courses in Introductory and Intermediate Statistics, Longitudinal Growth Modeling, Multilevel Modeling, Structural Equation Modeling, and Missing Data. Craig received his Ph.D. in Quantitative and Qualitative Methods in Education from the University of Nebraska. He is an elected member of the Society of Multivariate Experimental Psychology.
The majority of Craig’s methodological research focuses on analytic issues related to missing data analyses and multilevel modeling, and his current research focuses on developing multiple imputation algorithms for multilevel models. Craig has also published methodological papers in the area of longitudinal models and growth mixtures models. He is the author of more than 120 articles, and his book, Applied Missing Data Analysis, was published with Guilford Press in 2010.