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A beginner's guide to structural equation modeling /
Schumacker, Randall E.
A beginner's guide to structural equation modeling / Randall E. Schumacker, Richard G. Lomax. - Fourth edition. - xxi, 351 pages ; 26 cm
Includes bibliographical references and index.
-- Machine generated contents note: chapter 1 Introduction -- What is Structural Equation Modeling? -- History of Structural Equation Modeling -- Why Conduct Structural Equation Modeling? -- Structural Equation Modeling Software -- Book Website -- Summary -- Exercises -- References -- chapter 2 Data Entry and Edit Issues -- Data Set Formats -- Data Editing Issues -- Summary -- Exercises -- References -- chapter 3 Correlation -- Types of Correlation Coefficients -- Factors Affecting Correlation Coefficients -- Outliers -- Correction for Attenuation -- Non-positive Definite Matrices -- Bivariate, Part, and Partial Correlations -- Suppressor Variable -- Correlation versus Covariance -- Variable Metrics (Standardized vs Unstandardized) -- Causation Assumptions and Limitations -- Summary -- Exercises -- References -- chapter 4 Regression Models -- Overview -- Multiple Regression Example -- Summary -- Measurement Eror -- Additive Equation -- Chapter Footnote -- Exercises -- References -- chapter 5 Path Models -- Path Model Diagrams -- Decomposition of Correlation Matrix -- Path Model Example -- Summary -- Exercise -- Chapter Footnote -- References -- chapter 6 Factor Analysis -- Overview -- EFA Example -- Pattern and Structure Matrices -- Confirmatory Factor Analysis -- CFA Example -- Summary -- Exercise -- References -- chapter 7 SEM Basics -- SEM Modeling Steps -- Model-fit Criteria -- Types of Model-fit Criteria -- Hypothesis Testing -- Parameter Significance -- Two-Step Versus Four-Step Approach to Modeling -- Summary -- Exercises -- Chapter Footnote -- References -- chapter 8 Multiple Group (Sample) Models -- Measurement Model Group Difference -- Structural Model Group Difference -- Multiple Sample Model -- Summary -- Exercises -- Suggested Readings -- References -- chapter 9 Second-Order CFA Models -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Interpretation -- Summary -- Exercise -- Suggested Readings -- References -- chapter 10 Dynamic Factor Model -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Interpretation -- Summary -- Exercise -- Suggested Readings -- References -- chapter 11 Multiple-Indicator Multiple-Cause (MIMIC) Model -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Modification -- Summary -- Exercise -- Suggested Readings -- References -- chapter 12 Mixed Variable and Mixture Models -- Mixed Variable Model -- Different Variable Types -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Modification -- Robust Chi-square Statistic -- Mixture Model -- Latent Classes -- Summary -- Exercises -- Suggested Readings -- References -- chapter 13 Multi-Level Models -- It's Just Regression -- Multi-level Model Example -- Observed Variables -- Multi-level Model Example -- Latent Variables -- Summary -- Exercises -- Suggested Readings -- References -- chapter 14 Latent Growth Models -- Repeated Measures Designs -- Latent Growth Curve Model -- Intercept and Slope -- Latent Growth Curve Model -- Group Differences -- Summary -- Exercises -- Suggested Readings -- References -- chapter 15 SEM Interaction Models -- Main Effects and Interaction Effects -- Kenny -- Judd Approach -- Latent Variable Interaction Model -- Summary -- Exercises -- Suggested Readings -- References -- chapter 16 Reporting SEM Research -- Overview -- Checklist for Structural Equation Modeling -- Data Preparation -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Modification -- Summary -- Suggested Readings -- References.
9781138811904 9781138811935
2015021490
Structural equation modeling.
Regression analysis.
Social sciences--Statistical methods.
QA278 / .S36 2016
A beginner's guide to structural equation modeling / Randall E. Schumacker, Richard G. Lomax. - Fourth edition. - xxi, 351 pages ; 26 cm
Includes bibliographical references and index.
-- Machine generated contents note: chapter 1 Introduction -- What is Structural Equation Modeling? -- History of Structural Equation Modeling -- Why Conduct Structural Equation Modeling? -- Structural Equation Modeling Software -- Book Website -- Summary -- Exercises -- References -- chapter 2 Data Entry and Edit Issues -- Data Set Formats -- Data Editing Issues -- Summary -- Exercises -- References -- chapter 3 Correlation -- Types of Correlation Coefficients -- Factors Affecting Correlation Coefficients -- Outliers -- Correction for Attenuation -- Non-positive Definite Matrices -- Bivariate, Part, and Partial Correlations -- Suppressor Variable -- Correlation versus Covariance -- Variable Metrics (Standardized vs Unstandardized) -- Causation Assumptions and Limitations -- Summary -- Exercises -- References -- chapter 4 Regression Models -- Overview -- Multiple Regression Example -- Summary -- Measurement Eror -- Additive Equation -- Chapter Footnote -- Exercises -- References -- chapter 5 Path Models -- Path Model Diagrams -- Decomposition of Correlation Matrix -- Path Model Example -- Summary -- Exercise -- Chapter Footnote -- References -- chapter 6 Factor Analysis -- Overview -- EFA Example -- Pattern and Structure Matrices -- Confirmatory Factor Analysis -- CFA Example -- Summary -- Exercise -- References -- chapter 7 SEM Basics -- SEM Modeling Steps -- Model-fit Criteria -- Types of Model-fit Criteria -- Hypothesis Testing -- Parameter Significance -- Two-Step Versus Four-Step Approach to Modeling -- Summary -- Exercises -- Chapter Footnote -- References -- chapter 8 Multiple Group (Sample) Models -- Measurement Model Group Difference -- Structural Model Group Difference -- Multiple Sample Model -- Summary -- Exercises -- Suggested Readings -- References -- chapter 9 Second-Order CFA Models -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Interpretation -- Summary -- Exercise -- Suggested Readings -- References -- chapter 10 Dynamic Factor Model -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Interpretation -- Summary -- Exercise -- Suggested Readings -- References -- chapter 11 Multiple-Indicator Multiple-Cause (MIMIC) Model -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Modification -- Summary -- Exercise -- Suggested Readings -- References -- chapter 12 Mixed Variable and Mixture Models -- Mixed Variable Model -- Different Variable Types -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Modification -- Robust Chi-square Statistic -- Mixture Model -- Latent Classes -- Summary -- Exercises -- Suggested Readings -- References -- chapter 13 Multi-Level Models -- It's Just Regression -- Multi-level Model Example -- Observed Variables -- Multi-level Model Example -- Latent Variables -- Summary -- Exercises -- Suggested Readings -- References -- chapter 14 Latent Growth Models -- Repeated Measures Designs -- Latent Growth Curve Model -- Intercept and Slope -- Latent Growth Curve Model -- Group Differences -- Summary -- Exercises -- Suggested Readings -- References -- chapter 15 SEM Interaction Models -- Main Effects and Interaction Effects -- Kenny -- Judd Approach -- Latent Variable Interaction Model -- Summary -- Exercises -- Suggested Readings -- References -- chapter 16 Reporting SEM Research -- Overview -- Checklist for Structural Equation Modeling -- Data Preparation -- Model Specification -- Model Identification -- Model Estimation -- Model Testing -- Model Modification -- Summary -- Suggested Readings -- References.
9781138811904 9781138811935
2015021490
Structural equation modeling.
Regression analysis.
Social sciences--Statistical methods.
QA278 / .S36 2016
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