Timothy Z. Keith – författare

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 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)

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 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)

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)

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)

Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely.This book:• Covers both MR and SEM, while explaining their relevance to one another• Includes path analysis, confirmatory factor analysis, and latent growth modeling• Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises• Extensive use of figures and tables providing examples and illustrating key concepts and techniquesNew to this edition:• New chapter on mediation, moderation, and common cause• New chapter on the analysis of interactions with latent variables and multilevel SEM• Expanded coverage of advanced SEM techniques in chapters 18 through 22• International case studies and examples• Updated instructor and student online resources