APS
29th APS Annual Convention · 2017
Structural Equation Models with Small Samples: Bayesian Vs Maximum Likelihood Estimation
- Sanne Smid
Utrecht University - Daniel McNeish
University of North Carolina, Chapel Hill - Rens van de Schoot
Utrecht University - Rens van de Schoot
Optentia Research Program, North-West University
Abstract
Small data sets are very common in social sciences, and in the last few years Bayesian statistics is increasingly mentioned as a solution. A systematic review is carried out, to investigate whether Bayes should be used instead of Maximum Likelihood for SEM when the sample size is small.
Quantitative
