Individual Differences in Structural Equation Model Parameters
Daniel Leonard Oberski
TL;DR
This paper introduces a three-step method for analyzing individual differences in structural equation model parameters, enabling detailed heterogeneity analysis and advancing research in survey methodology.
Contribution
It presents a novel approach to study individual parameter contributions in SEM, making heterogeneity analysis more accessible and applicable.
Findings
Enables detailed analysis of individual differences in SEM parameters
Facilitates study of differential error variances in surveys
Makes heterogeneity analysis as straightforward as linear regression
Abstract
Individuals may differ in their parameter values. This article discusses a three-step method of studying such differences by calculating and then modeling "individual parameter contributions", making the study of heterogeneity in arbitrary structural equation model parameters as technically challenging as performing linear regression. The proposed approach allows for a contribution to the study of differential error variances in survey methodology that would have been difficult to make otherwise.
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Taxonomy
TopicsPsychometric Methodologies and Testing · Behavioral Health and Interventions · Mental Health Research Topics