Multiple Regression and Beyond

Autor Matthew Reynolds, Jacqueline Caemmerer, Jacqueline Caemmerer & další

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Gump: Jsme dvojka

Na své osmnáctiny čeká únos. Král Nezemě si přichází pro další dívku a nic ho nezastaví. Temná verze Petra Pana plná nebezpečí, vášně a vztahů, které bolí i přitahují. Více informací

Multiple Regression and Beyond provides a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with related analyses. By emphasising 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, and random intercept panel modelsSupport for the statistical program R and the R package lavaan in the text and on the website (www.tzkeith.com)New examples and exercisesUpdated instructor and student online resources (www.tzkeith.com)