Supplementary Files & Resources

We are pleased to offer extensive sets of downloadable files and online resources to accompany several titles from Guilford's Methodology in the Social Sciences Series.

Supplementary resources for Applied Missing Data Analysis: Second Edition by Craig K. Enders

Supplementary resources for Bayesian Statistics for the Social Sciences by David Kaplan

Supplementary resources for Bayesian Structural Equation Modeling by Sarah Depaoli

Supplementary resources for Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables by Jörg Henseler

Supplementary resources for Confirmatory Factor Analysis for Applied Research: Second Edition by Timothy A. Brown

Supplementary resources for Data Analysis with Mplus by Christian Geiser

Supplementary resources for Doing Statistical Mediation and Moderation by Paul E. Jose

Supplementary resources for Dyadic Data Analysis by David A. Kenny, Deborah A. Kashy, and William L. Cook

Supplementary resources for Growth Modeling: Structural Equation and Multilevel Modeling Approaches by Kevin J. Grimm, Nilam Ram, and Ryne Estabrook

Supplementary resources for Hypothesis Testing and Model Selection in the Social Sciences by David L. Weakliem

Supplementary resources for Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research by Niall Bolger and Jean-Philippe Laurenceau

Supplementary resources for Introduction to Mediation, Moderation, and Conditional Process Analysis: Third Edition: A Regression-Based Approach by Andrew F. Hayes

Supplementary resources for Longitudinal Structural Equation Modeling by Todd D. Little

Supplementary resources for Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Christian Geiser

Supplementary resources for Machine Learning for Social and Behavioral Research by Ross Jacobucci, Kevin J. Grimm, and Zhiyong Zhang

Supplementary resources for Measurement Theory and Applications for the Social Sciences by Deborah L. Bandalos

Supplementary resources for Principles and Practice of Structural Equation Modeling: Fifth Edition by Rex B. Kline

Supplementary resources for Psychometric Methods: Theory into Practice by Larry R. Price

Supplementary resources for Regression Analysis and Linear Models: Concepts, Applications, and Implementation by Richard B. Darlington and Andrew F. Hayes

Supplementary resources for Regression Analysis for Categorical Moderators by Herman Aguinis

Supplementary resources for The Theory and Practice of Item Response Theory: Second Edition by R. J. de Ayala

Supplementary resources for Theory Construction and Model-Building Skills: Second Edition: A Practical Guide for Social Scientists by James Jaccard and Jacob Jacoby

Methodology in the Social Sciences Series

Todd D. Little - Series Editor

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.