Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition: A Regression-Based Approach (Methodology in the Social Sciences) | Understanding Regression Analysis: An Introductory Guide (Quantitative Applications in the Social Sciences) | Experimental and Quasi-Experimental Designs for Generalized Causal Inference | Introduction to Mediation, Moderation, and Conditional Process Analysis | Principles and Practice of Structural Equation Modeling | Personality Assessment | Design and Analysis
*Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification.
*An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses.
*Students are guided to practice what they learn in each chapter using datasets provided online.
*Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.
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