The Influence of Sample Size on Parameter Estimates in Three-Level Random-Effects Models.

ABSTRACT: In educational psychology, observational units are oftentimes nested within superordinate groups. Researchers need to account for hierarchy in the data by means of multilevel modeling, but especially in three-level longitudinal models, it is often unclear which sample size is necessary for reliable parameter estimation. To address this question, we generated a population dataset based on a study in the field of educational psychology, consisting of 3000 classrooms (level-3) with 55000 students (level-2) measured at 5 occasions (level-1), including predictors on each level and interaction effects. Drawing from this data, we realized 1000 random samples each for various sample and missing value conditions and compared analysis results with the true population parameters. We found that sampli

SUBMITTER: Kerkhoff D 

PROVIDER: S-EPMC6536630 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature