Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and…

This book is a practical, hands-on guide to using commonly available everyday technology, including Microsoft software, to manage and streamline research projects. It uses straight-forward, everyday language to walk readers through this process, drawing on a wide range of examples to demonstrate how easy it is to use such software. This guide is…

Methods for meta-analysis have evolved dramatically since Gene Glass first proposed the term in 1976. Since that time statistical and nonstatistical aspects of methodology for meta-analysis have been developing at a steady pace. This guide is an attempt to provide a practical introduction to rigorous procedures in the meta-analysis of social…