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…

This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. The author takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and…

Like the previous editions of this bestselling text, "Surviving Your Dissertation: A Comprehensive Guide to Content and Process, Third Edition" offers readers guidance that other dissertation guides often miss, from ways to improve one's writing, to identifying one's learning preferences, to dealing with emotional blocks. Using examples from a…

The purpose of this study guide, designed for computer students who have never been involved in a research project, practicum, or dissertation activity, is to provide background information on the affective and cognitive skills required for success in any project involving research and/or statistics. Successful enrollment in computer based…