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Overview of Structural Equation Modeling Concepts
Oct 27, 2024
Structural Equation Modeling Overview
Introduction
Structural Equation Modeling (SEM) is an analytical approach for testing theories.
Combines confirmatory factor analyses and multiple regressions.
Aimed at providing a high-level conceptual understanding of SEM.
Presenter's Background
Ashley, a second-year PhD student, creates videos about goals and academics.
Learning by teaching approach.
Structure of the Video
Focus on Anderson and Gerbing's 1988 article as a foundation for the two-step SEM approach.
Incorporation of contemporary best practices.
Two-Step SEM Approach
Step 1: Analyze the Measurement Model
Measurement Model
: Tests if we measure what we intend.
Involves using Confirmatory Factor Analyses (CFA).
Types of Measurement Invariance Tests
:
Configural Invariance
: Tests the factor structure (e.g., two-factor vs. three-factor).
Metric Invariance
: Evaluates the expected factor loadings.
Aim for factor loadings above 0.5 for strength.
Analyze measurement models independently for exogenous (X) and endogenous (Y) variables.
Theoretical Framework
Utilize theory to re-specify the measurement model (e.g., allowing residuals to co-vary).
Importance of guiding analyses with strong theoretical backing.
Avoid "harking" (hypothesizing after results) to maintain scientific integrity.
Reporting and Replication
Report degrees of freedom for all models tested to facilitate replication.
Replication is essential for durable knowledge creation.
Step 2: Analyze the Path Model
Path Model
: Represents relationships between variables.
Hypothesize the direction of relationships (e.g., X leads to Y).
Analyze the statistical significance and coefficient direction.
Ensure all connections in the model are tested and theoretically justified.
Conclusion
Importance of measuring and justifying all aspects of both models.
Encourages a learning mindset; failures are opportunities to build knowledge.
Invitation to explore further resources, such as Karma for deeper understanding of methods.
Call to Action
Encourage feedback and engagement from the community.
Promote further discussions on structural equation modeling.
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