Defining R-squared measures for mixed-effects location scale models.

ABSTRACT: Ecological momentary assessment and other modern data collection technologies facilitate research on both within-subject and between-subject variability of health outcomes and behaviors. For such intensively measured longitudinal data, Hedeker et al extended the usual two-level mixed-effects model to a two-level mixed-effects location scale (MELS) model to accommodate covariates' influence as well as random subject effects on both mean (location) and variability (scale) of the outcome. However, there is a lack of existing standardized effect size measures for the MELS model. To fill this gap, our study extends Rights and Sterba's framework of R 2 $$ {R}^2 $$ measures for multilevel models, which is based on model-implied variances, to MELS models. Our proposed framework applies to tw

SUBMITTER: Zhang X 

PROVIDER: S-EPMC9481677 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature