Methodology in the Social Sciences Series
Edited by Todd D. Little, PhD
This series provides applied researchers and students with analysis and research design books that emphasize the use of methods to answer research questions. Rather than emphasizing statistical theory, each volume in the series illustrates when a technique should (and should not) be used and how the output from available software programs should (and should not) be interpreted. Common pitfalls as well as areas of further development are clearly articulated.
Most titles in the series include extensive downloadable files and online resources.
New Titles:
All Titles:
Machine Learning for Social and Behavioral Research
Ross Jacobucci, Kevin J. Grimm, and Zhiyong Zhang

Applied Missing Data Analysis: Second EditionCraig K. Enders
Bayesian Structural Equation ModelingSarah Depaoli
Dyadic Data AnalysisDavid A. Kenny, Deborah A. Kashy, and William L. Cook
Foreword by Jeffry A. Simpson
Foreword by Jeffry A. Simpson
Theory Construction and Model-Building Skills: Second Edition: A Practical Guide for Social ScientistsJames Jaccard and Jacob Jacoby
Quasi-Experimentation: A Guide to Design and AnalysisCharles S. Reichardt
Conducting Personal Network Research: A Practical GuideChristopher McCarty, Miranda J. Lubbers, Raffaele Vacca, and José Luis Molina
Measurement Theory and Applications for the Social SciencesDeborah L. Bandalos
Psychometric Methods: Theory into PracticeLarry R. Price
Growth Modeling: Structural Equation and Multilevel Modeling ApproachesKevin J. Grimm, Nilam Ram, and Ryne Estabrook
Regression Analysis and Linear Models: Concepts, Applications, and ImplementationRichard B. Darlington and Andrew F. Hayes
Hypothesis Testing and Model Selection in the Social SciencesDavid L. Weakliem
Bayesian Statistics for the Social SciencesDavid Kaplan
Doing Statistical Mediation and ModerationPaul E. Jose
Longitudinal Structural Equation ModelingTodd D. Little
Foreword by Noel A. Card
Foreword by Noel A. Card
Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling ResearchNiall Bolger and Jean-Philippe Laurenceau
Data Analysis with MplusChristian Geiser
Missing Data: A Gentle IntroductionPatrick E. McKnight, Katherine M. McKnight, Souraya Sidani, and Aurelio José Figueredo