Handbook of Structural Equation Modeling, 2nd Ed. *Rick Hoyle - {9781462544646} {1462544649}

Handbook of Structural Equation Modeling, 2nd Ed. *Rick Hoyle - {9781462544646} {1462544649}

  • Condition: Brand New.
  • Author: Rick H. Hoyle
  • ISBN13: 9781462544646
  • ISBN10: 1462544649
  • Type: Hardcover Book.
  • Pages: 785

By: Rick H. Hoyle Availability: In Stock Condition: Brand New.

$49.99
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Descriptions

Handbook of Structural Equation Modeling, Second Edition
Author: Rick H. Hoyle (Editor)

Key Themes: This comprehensive resource delves into structural equation modeling (SEM), a statistical technique for analyzing complex relationships between variables. It covers both the fundamental concepts and advanced applications of SEM.

Features:

Extensive Coverage: The book offers in-depth explanations of core SEM topics like causality, model fit, and missing data management. It also explores various SEM models and their applications in different research fields.
Practical Examples: Each chapter is enriched with engaging examples that illustrate how SEM can be applied to real-world data.
Software Integration: The book includes computer code (for Mplus and R's lavaan package) associated with the examples, allowing readers to replicate the analyses.
Companion Website: An expanded companion website provides additional resources like full datasets, code outputs, and bonus chapters from the first edition.
Target Audience: This book is geared towards researchers and graduate students who want to gain a thorough understanding of SEM and its applications in various disciplines.

Chapter Headlines: The book includes chapters on a wide range of SEM topics, including:

Causality and SEM
Visualization of SEM Models
Assumptions for SEM
Estimation Methods
Model Fit Assessment
Missing Data in SEM
Specific SEM Models (e.g., Confirmatory Factor Analysis, Path Analysis)
Advanced SEM Applications (e.g., SEM-based meta-analysis, dynamic SEM)
Closing Paragraph: The Handbook of Structural Equation Modeling, Second Edition, serves as an invaluable reference for researchers seeking to leverage SEM in their studies. It provides a clear and comprehensive introduction to the fundamentals of SEM, along with practical guidance on applying it to various research questions.