Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond (4)

By: Charles M. Judd and Carey S. Ryan and Gary H. McClelland and Josh Correll and Abigail M. Folberg

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Synopsis: This essential textbook provides an integrated treatment of data analysis for the social and behavioral sciences. It covers all the key statistical models in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model.The text describes the foundational logic of the unified model comparison framework. It then shows how this framework can be applied to increasingly complex models including multiple continuous and categorical predictors, as well as product predictors (i.e., interactions and nonlinear effects). The text also describes analyses of data that violate assumptions of independence, homogeneity, and normality. The analysis of nonindependent data is treated in some detail, covering standard repeated measures analysis of variance and providing an integrated introduction to multilevel or hierarchical linear models and logistic regression.Highlights of the fourth edition include: Expanded coverage of generalized linear models and logistic regression in particular A discussion of power and ethical statistical practice as it relates to the replication crisis An expanded collection of online resources such as PowerPoint slides and test bank for instructors, additional exercises and problem sets with answers, new data sets, practice questions, and R code Clear and accessible, this text is intended for advanced undergraduate and graduate level courses in data analysis.

Book Quality:: Publisher Quality
Book Size:: 394 Pages
ISBN-13:: 9781040388020
Related ISBNs:: 9781032572086, 9781040387993, 9781003438335, 9781317591207, 9781032572093
Publisher:: Taylor & Francis
Date of Addition:: 08/04/25
Copyrighted By:: Joshua Correll, Abigail M. Folberg, Charles M. Judd, Gary H. McClelland and Carey S. Ryan. The right of Joshua Correll, Abigail M. Folberg, Charles M. Judd, Gary H. McClelland and Carey S. Ryan to be identified as authors of this work has been asserted in
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Psychology, Education, Mathematics and Statistics, Sociology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.