The first part is the introduction of structural equation model.

Chapter 1 Introduction

First, describe the data.

Second, concrete examples show accurate and concise consideration.

Thirdly, the exploratory and confirmatory factors are analyzed and compared.

The second chapter introduces the structural equation model.

First, the importance of structural equation model

Second, the structure of structural equation model

Third, the advantages of structural equation model

Fourthly, the statistical methods included in the structural equation model.

V. Icon rules of road map

Six, structural equation analysis software package

Seven. Brief introduction of LISIREL operation

The second part is the application of structural equation model.

The third chapter is the application of empirical analysis: confirmatory factor analysis and overall model.

First, confirmatory factor analysis.

Second, multi-quality and multi-method mode.

Third, the overall model.

Fourth, high-order factor analysis.

Chapter 4 Application Demonstration II: Simplex and Multi-group Models

1. Simplex model

Second, multiple confirmatory factor analysis.

3. Multigroup analysis: average structure model

Fourthly, regression model.

Chapter V Structural Equation Modeling and Analysis Steps

I. Verification model and generation model

Second, the structural equation analysis steps

Third, parameter estimation and fitting function.

Fourth, fitting inspection

Verb (abbreviation of verb) model modification and interactive validity

Sixth, the principle of mode comparison.

Seven. Report the results

The third part is the special study of structural equation model.

Chapter VI Thematic discussion-Issues involving data

I. Sample size

Second, the data type.

Third, deal with abnormal data.

Fourth, the data is abnormal.

Verb (abbreviation of verb) is missing data.

6. Can the correlation matrix be used for analysis?

Seven, the method of dealing with small samples

Chapter 7 Special discussion-related problems of model fitting.

First, ignore the errors caused by measurement errors.

Second, the non-positive definite covariance matrix

Third, there is no convergence

Fourth, inappropriate solutions.

Verb (abbreviation of verb) single exponential latent variable

Six, error correlation

Seven, unit factors and additional restrictions

Eight, why should we consider the equivalent model?

Nine, whether the model and data fitting show that the model is correct.

X does the structural equation verify the causal relationship between variables?

XI。 How to avoid the inconsistency of latent variable names?

Twelve, the high-order factors of appropriateness and error

Thirteen, how to report the results of structural equation analysis

Fourteen Combined with traditional analysis

Chapter VIII Fitting Index

I. Overview of fitting index

Second, the absolute fitting index

Third, the relative fitting index

Fourth, simple fitting index.

An overview of the definition of verb (verb's abbreviation) fitting index

The fourth part is the statistical principle of structural equation model.

Chapter IX Principles of Confirmatory Factor Analysis

First, the basic concepts of confirmatory factor analysis

Second, the factor analysis model and its covariance structure

Thirdly, some criteria of factor analysis model identification.

Fourthly, parameter estimation.

Verb (abbreviation of verb) model evaluation

6. Factor analysis model with mean structure

Seven, multi-group comparison

Chapter 10 Principle of Path Analysis

First, the structural equation in the causal model

Second, path analysis and effect decomposition.

3. Covariance matrix of causal model

Four, causal model identification criteria

Parameter estimation of verb (abbreviation of verb)

Evaluation and revision of intransitive verb model

Seven, causal model and causal analysis

Chapter 11 Principles of Structural Equation Analysis

First, the basic concept of structural equation

Second, the structural equation model and its covariance structure

Thirdly, some special structural equation models.

Fourthly, model identification.

Parameter estimation of verb (abbreviation of verb)

Evaluation and revision of intransitive verb model

Seven. Standardization coefficient

Eight. Structural equation model with constant terms

Nine, multi-group comparison

The fifth part LISREL software

Appendix 3 reading data through SPSS

Appendix IV Discussion Group on Structural Equation

refer to

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