Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety.

ABSTRACT: Determining sample size requirements for structural equation modeling (SEM) is a challenge often faced by investigators, peer reviewers, and grant writers. Recent years have seen a large increase in SEMs in the behavioral science literature, but consideration of sample size requirements for applied SEMs often relies on outdated rules-of-thumb. This study used Monte Carlo data simulation techniques to evaluate sample size requirements for common applied SEMs. Across a series of simulations, we systematically varied key model properties, including number of indicators and factors, magnitude of factor loadings and path coefficients, and amount of missing data. We investigated how changes in these parameters affected sample size requirements with respect to statistical power, bias in the param

SUBMITTER: Wolf EJ 

PROVIDER: S-EPMC4334479 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature