Review paper
Correcting the bias of the Root Mean Squared Error of Approximation under missing data
Abstract
Missing data are ubiquitous in psychological research. They may come about as an unwanted result of coding or computer error, participants' non-response or absence, or missing values may be intentional, as in planned missing designs. We discuss the effects of missing data on χ²-based goodness-of-fit indices in Structural Equation Modeling (SEM), specifically on the Root Mean Squared Error of...
Paper Details
Title
Correcting the bias of the Root Mean Squared Error of Approximation under missing data
Published Date
Sep 30, 2021
Journal
Volume
17
Issue
3
Pages
189 - 204
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