On Standardizing Within-Person Effects: Potential Problems of Global Standardization.

ABSTRACT: Person-mean centering has been recommended for disaggregating between-person and within-person effects when modeling time-varying predictors. Multilevel modeling textbooks recommended global standardization for standardizing fixed effects. An aim of this study is to evaluate whether and when person-mean centering followed by global standardization can accurately estimate fixed-effects within-person relations (the estimand of interest in this study) in multilevel modeling. We analytically derived that global standardization generally yields inconsistent (asymptotically biased) estimates for the estimand when between-person differences in within-person standard deviations exist and the average within-person relation is nonzero. Alternatively, a person-mean-SD standardization (P-S) approach y

SUBMITTER: Wang L 

PROVIDER: S-EPMC6696920 | biostudies-literature | 2019 May-Jun

REPOSITORIES: biostudies-literature