We present a simulation study that examines the impact of small sample sizes in both observation and nesting levels of the model on the fixed effect bias, type I error, and the power of a simple mixed model analysis. Despite the need for adjustments to control for type I error inflation, our findings indicate that smaller samples than previously recognized can be used for mixed models under certain conditions prevalent in applied research.
Suggested Citation
Carter, Kristina A, Heather M Wojton, and Stephanie T Lane. “The Effect of Extremes in Small Sample Size on Simple Mixed Models: A Comparison of Level-1 and Level-2 Size.” The ITEA Journal of Test and Evaluation 40, no. 1 (2019): 16–29.