Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling (4)

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Synopsis
Multiple Regression and Beyond provides a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with related analyses. By emphasizing the concepts and purposes of MR rather than the derivation and calculation of formulas, this book presents the material in a clearer and more accessible way. This approach not only covers essential coursework but also makes it more approachable for students, increasing the likelihood that they will conduct research using MR or SEM effectively and wisely.This book covers both MR and SEM, explaining their relevance to each other. It also includes path analysis, confirmatory factor analysis, and latent growth modeling, incorporating real-world research examples throughout the chapters and end-of-chapter exercises. Figures and tables are used extensively to illustrate key concepts and techniques.This new edition includes: New sections on quantile regression, statistical suppression, contrast coding, and random intercept panel models Support for the statistical program R and the R package lavaan in the text and on the website (www.tzkeith.com) New examples and exercises Updated instructor and student online resources (www.tzkeith.com)
Copyright:
2026

Book Details

Book Quality:
Publisher Quality
Book Size:
712 Pages
ISBN-13:
9781040401682
Related ISBNs:
9781032520957, 9781351667920, 9781032520971, 9781040401606, 9781003405191
Publisher:
Taylor & Francis
Date of Addition:
Copyrighted By:
Timothy Z. Keith, Matthew R. Reynolds and Jacqueline M. Caemmerer, The right of Timothy Z. Keith, Matthew R. Reynolds and Jacqueline M. Caemmerer to be identified as authors of this work has been asserted in accordance with sections
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Education, Social Studies
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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