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: Second Edition 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: Second Edition 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.