Report Quality of Generalized Linear Mixed Models in Psychology: A Systematic Review.

ABSTRACT: Generalized linear mixed models (GLMMs) estimate fixed and random effects and are especially useful when the dependent variable is binary, ordinal, count or quantitative but not normally distributed. They are also useful when the dependent variable involves repeated measures, since GLMMs can model autocorrelation. This study aimed to determine how and how often GLMMs are used in psychology and to summarize how the information about them is presented in published articles. Our focus in this respect was mainly on frequentist models. In order to review studies applying GLMMs in psychology we searched the Web of Science for articles published over the period 2014-2018. A total of 316 empirical articles were selected for trend study from 2014 to 2018. We then conducted a systematic review of 11

SUBMITTER: Bono R 

PROVIDER: S-EPMC8100208 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature