Basics of structural equation modeling
著者
書誌事項
Basics of structural equation modeling
Sage Publications, c1998
- : pbk
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注記
Includes bibliographical references (p. 299-305) and indexes
内容説明・目次
内容説明
With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data.
目次
PART ONE: BACKGROUND
What Does It Mean to Model Hypothesized Causal Processes with Nonexperimental Data?
History and Logic of Structural Equation Modeling
PART TWO: BASIC APPROACHES TO MODELING WITH SINGLE OBSERVED MEASURES OF THEORETICAL VARIABLES
The Basics
Path Analysis and Partitioning of Variance
Effects of Collinearity on Regression and Path Analysis
Effects of Random and Nonrandom Error on Path Models
Recursive and Longitudinal Models
Where Causality Goes in More Than One Direction and Where Data Are Collected Over Time
PART THREE: FACTOR ANALYSIS AND PATH MODELING
Introducing the Logic of Factor Analysis and Multiple Indicators to Path Modeling
PART FOUR: LATENT VARIABLE STRUCTURAL EQUATION MODELS
Putting It All Together
Latent Variable Structural Equation Modeling
Using Latent Variable Structural Equation Modeling to Examine Plausability of Models
Logic of Alternative Models and Significance Tests
Variations on the Basic Latent Variable Structural Equation Model
Wrapping up
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