A beginner's guide to structural equation modeling

書誌事項

A beginner's guide to structural equation modeling

Randall E. Schumacker, Richard G. Lomax

Lawrence Erlbaum Associates, 2004

2nd ed

  • : pbk
  • : hc

大学図書館所蔵 件 / 13

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

The second edition features: a CD with all of the book's Amos, EQS, and LISREL programs and data sets; new chapters on importing data issues related to data editing and on how to report research; an updated introduction to matrix notation and programs that illustrate how to compute these calculations; many more computer program examples and chapter exercises; and increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues. The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged.

目次

Contents: Preface. Introduction. Data Entry and Data Editing Issues. Correlation. SEM Basics. Model Fit. Regression Models. Path Models. Confirmatory Factor Models. Developing Structural Equation Models. Part I. Developing Structural Equation Models. Part II. Reporting SEM Research. Model Validation. SEM Applications. Part I. SEM Applications. Part II. Matrix Approach to Structural Equation Modeling. Appendix: Introduction to Matrix Operations.

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