KI-Beratung Beta

Produktbild: Multiple Regression and Beyond

Multiple Regression and Beyond An Introduction to Multiple Regression and Structural Equation Modeling

363,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

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...

Beschreibung

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 techniques New 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

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

28.01.2019

Abbildungen

schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Verlag Taylor and Francis

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

28.01.2019

Abbildungen

schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Verlag Taylor and Francis
Seitenzahl

654

Maße (L/B/H)

26/18,3/3,9 cm

Gewicht

1409 g

Auflage

3rd edition

Sprache

Englisch

ISBN

978-1-138-06142-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

Weitere Artikel finden Sie in

Die Leseprobe wird geladen.
  • Produktbild: Multiple Regression and Beyond
  • Preface

    Part I: Multiple Regression

    Chapter 1: Simple Bivariate Regression

    Chapter 2: Multiple Regression: Introduction

    Chapter 3: Multiple Regression: More Depth

    Chapter 4: Three and More Independent Variables and Related Issues

    Chapter 5: Three Types of Multiple Regression

    Chapter 6: Analysis of Categorical Variables

    Chapter 7: Regression with Categorical and Continuous Variables

    Chapter 8: Testing for Interactions and Curves with Continuous Variables

    Chapter 9: Mediation, Moderation, and Common Cause

    Chapter 10: Multiple Regression: Summary, Assumptions, Diagnostics, Power, and Problems

    Chapter 11: Related Methods: Logistic Regression and Multilevel Modeling

    Part II: Beyond Multiple Regression: Structural Equation Modeling

    Chapter 12: Path Modeling: Structural Equation Modeling with Measured Variables

    Chapter 13: Path Analysis: Assumptions and Dangers

    Chapter 14: Analyzing Path Models Using SEM Programs

    Chapter 15: Error: The Scourge of Research

    Chapter 16: Confirmatory Factor Analysis I

    Chapter 17: Putting It All Together: Introduction to Latent Variable SEM

    Chapter 18: Latent Variable Models II: Multigroup Models, Panel Models, Dangers & Assumptions

    Chapter 19: Latent Means In SEM

    Chapter 20: Confirmatory Factor Analysis II: Invariance and Latent Means

    Chapter 21: Latent Growth Models

    Chapter 22: Latent Variable Interactions and Multilevel Models In SEM

    Chapter 23: Summary: Path Analysis, CFA, SEM, Mean Structures, and Latent Growth Models

    Appendices

    Appendix A: Data Files.

    Appendix B: Review of Basic Statistics Concepts

    Appendix C: Partial and Semipartial Correlation

    Appendix D: Symbols Used in This Book

    Appendix E: Useful Formulae