Modeling reciprocal effects in medical research: Critical discussion on the current practices and potential alternative models

Volume: 14, Issue: 9, Pages: e0209133 - e0209133
Published: Sep 27, 2019
Abstract
Longitudinal designs provide a strong inferential basis for uncovering reciprocal effects or causality between variables. For this analytic purpose, a cross-lagged panel model (CLPM) has been widely used in medical research, but the use of the CLPM has recently been criticized in methodological literature because parameter estimates in the CLPM conflate between-person and within-person processes. The aim of this study is to present some...
Paper Details
Title
Modeling reciprocal effects in medical research: Critical discussion on the current practices and potential alternative models
Published Date
Sep 27, 2019
Journal
Volume
14
Issue
9
Pages
e0209133 - e0209133
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