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:
Titles Available as e-Books:
Applied Missing Data Analysis: Second EditionCraig K. Enders
Bayesian Structural Equation ModelingSarah Depaoli
Computerized Adaptive Testing: From Concept to ImplementationDavid J. Weiss and Alper Şahin
Conducting Personal Network Research: A Practical GuideChristopher McCarty, Miranda J. Lubbers, Raffaele Vacca, and José Luis Molina
Data Analysis with MplusChristian Geiser
Doing Statistical Mediation and ModerationPaul E. Jose
Dyadic Data AnalysisDavid A. Kenny, Deborah A. Kashy, and William L. Cook
Foreword by Jeffry A. Simpson
Foreword by Jeffry A. Simpson
Growth Modeling: Structural Equation and Multilevel Modeling ApproachesKevin J. Grimm, Nilam Ram, and Ryne Estabrook
Hypothesis Testing and Model Selection in the Social SciencesDavid L. Weakliem
Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling ResearchNiall Bolger and Jean-Philippe Laurenceau
Longitudinal Structural Equation Modeling: Second EditionTodd D. Little
Foreword by Noel A. Card
Foreword by Noel A. Card
Machine Learning for Social and Behavioral ResearchRoss Jacobucci, Kevin J. Grimm, and Zhiyong Zhang
Measurement Theory and Applications for the Social SciencesDeborah L. Bandalos
Missing Data: A Gentle IntroductionPatrick E. McKnight, Katherine M. McKnight, Souraya Sidani, and Aurelio José Figueredo
Psychometric Methods: Theory into PracticeLarry R. Price
Quasi-Experimentation: A Guide to Design and AnalysisCharles S. Reichardt
Regression Analysis and Linear Models: Concepts, Applications, and ImplementationRichard B. Darlington and Andrew F. Hayes
