Applied Structural Equation Modeling Using AMOS
Höfundur:
Joel E. Collier (Útgáfa: 2)
Kaup valmöguleikar
This updated edition provides an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models.
Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest.
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- Taylor & Francis
- 9781040645031
- 9781041105435
- ePub
- 2
- Joel E. Collier
- English
- 2026-07-27
- 100
- 2
- 2
Kaflar
- Cover
- Half Title
- Title
- Copyright
- Contents
- Preface
- Acknowledgments
- 1 Introduction to Structural Equation Modeling
- What Is Structural Equation Modeling?
- Basics of SEM Input: The Covariance Matrix
- Correlations Between Constructs
- Is SEM Causal Modeling?
- A Confirmatory Approach to SEM
- Theory Should Lead Conceptualization
- Assumptions of SEM
- SEM Software
- Understanding Diagram Symbols
- Independent Versus Dependent Latent Variables
- How to Measure an Unobserved Construct
- Measurement Model vs Structural Model
- Greek Notation and SEM
- 2 Data Screening, Assessing Reliability, Validity, and Identification
- Data Screening
- Screening for Impermissible Values in the Data
- How Do I Assess If I Have Missing Data?
- How Do I Address Missing Data?
- Assessing Reliability
- Identification With SEM Models
- How Do I Calculate the Degrees of Freedom?
- What Do I Do if My Model Is Under-Identified?
- Sample Size: How Much Is Enough?
- Understanding the Validity of Measures
- 3 Understanding the AMOS Program
- Overview of the AMOS Graphics Window
- AMOS Functions Listed as Icons in Pinned Ribbon
- Tips to Using AMOS More Efficiently
- Quick Reference to AMOS Functions
- 4 Measurement Model Analysis
- Introduction to Confirmatory Factor Analysis
- How Is a CFA Different From an EFA?
- Interpretation of Factor Loadings
- Setting the Metric
- Model Fit and Fit Statistics
- Modification Indices
- CFA Example in AMOS
- Assessing Convergent and Discriminant Validity of Your Measures
- How to Calculate Composite Reliability
- How to Use AI to Quickly Assess the Validity of Your Data?
- If I Have a Weak Factor Loading, Should I Drop It?
- What If I Have a Standardized Factor Loading Greater Than 1?
- How Do I Report My CFA Results?
- How to Use AI to Generate CFA Tables for a Publication?
- Measurement Model Invariance Across Groups
- Full Versus Partial Metric Invariance
- How Do I Know Which Parameter to Free in a Partial Invariance Test?
- Common Method Bias
- What If My Test for Common Method Bias Is Significant?
- What If My Common Method Bias Test Is Non-Significant?
- What Is a Second Order CFA Model?
- Reflective Versus Formative Indicators
- Potential Identification Problems With Formative Indicators
- Dependent Relationships With Formative Constructs
- Higher Order Formative Construct Example
- How Do I Present the Result of My Higher Order Formative Model?
- Error Messages in AMOS
- 5 Path and Full Structural Models
- Path Analysis
- Can I Use a Correlation Matrix as My Data Input?
- Full Structural Model Analysis
- How Do I Report My Full Structural Model Results?
- How to Use AI to Present Structural Model Results
- Using Specification Search to Aid in Model Trimming and Fit
- What Are Alternative Models, and Why Should I be Concerned With Them?
- How Do I Add a Control Variable to My Structural Model?
- Two-Group Analysis
- What If I Have More Than Two Groups in My Analysis?
- How Do I Present the Results of My Two-Group Analysis?
- Multi-Level Modeling in AMOS
- When I Try to Run My Structural Analysis, I Get an Error Message About My Matrix Not Being Positive Definite
- Can I Correlate the Error Terms of Two Unobservable Constructs in a Full Structural Model?
- How Do I Search for Multivariate Outliers?
- How Do I Determine if My Data Is Not Normally Distributed (Non-Normal)?
- What If I Get an Error Message in the Analysis That Says “Iteration Limit Reached”?
- 6 Mediation
- Introduction to Mediation
- How to Test for Mediation
- How Do I Report the Results of My Mediation Test?
- How to Use AI to Create Mediation Tables Ready for Publication?
- Can I Use a Correlation Matrix or Summary Data to Test Mediation in AMOS?
- What If I Have Multiple Mediators in My Model?
- How Do I Test Serial Mediation?
- Setting the Seed in Bootstrapping
- 7 Moderation
- Introduction to Moderation
- Probing the Interaction
- Testing Moderation in a Full Structural Model
- How Do I Present My Moderation Results?
- Mean Center Versus Z Score in Moderation Testing
- Moderation Testing With a Categorical Moderator
- Calculating Categorical Moderation via Pairwise Parameter Comparison
- Moderated Mediation With a Continuous Moderator
- How Do I Report the Results of My Moderated Mediation Test?
- Moderated Mediation With a Categorical Moderator
- 8 Using Categorical Independent Variables in SEM
- Binary Categorical Variables in SEM
- Mediation With Binary Categorical Independent Variables
- Multicategorical Independent Variables in SEM
- Mediation With Multicategorical Independent Variables
- Moderated Mediation With a Multicategorical Independent Variable
- How Do I Report the Results of My Multicategorical Moderated Mediation Test?
- 9 Latent Growth Curve Models
- Introduction to Latent Growth Curve Models
- Including Predictors Into a Latent Growth Curve Model
- How Do I Present My Latent Growth Curve Results?
- Latent Growth Curves With Nonlinear Patterns
- Latent Growth Curves Across Two Domains
- 10 Advanced Topics in SEM
- Assessing Statistical Power in Structural Equation Modeling
- How to Use AI to Calculate a Global Model-Fit Power Analysis
- Determining Power via Parameter Assessments Using G*Power
- Endogeneity in SEM Models
- Non-Recursive Models (Feedback Loops)
- Using Weighted Scores in AMOS
- How to Use Bootstrapping to Account for Non-Normal Data
- Mixture Modeling
- Analyzing Censored Data
- Using Specification Search to Perform Exploratory Factor Analysis
- How to Use the Program Editor to Conceptualize Your Model and Run the Analysis
- Appendix
- Index