Skip to main content
Fig. 9 | BMC Medical Research Methodology

Fig. 9

From: The relationship between statistical power and predictor distribution in multilevel logistic regression: a simulation-based approach

Fig. 9

Power curves for the variance component of the random intercept are presented. Moderate (skewness of \( \sqrt{8/5} \) and 70/30 imbalance) and extreme (skewness of \( \sqrt{8} \) and 90/10 imbalance) simulation conditions are shown. Variance for the random intercept is \( {\sigma}_0^2=\frac{\pi^2}{3} \) for an ICC of 0.5 (large effect size). Power of 80% is marked with a horizontal line. Horizontal axis denotes Level 1 sample size and vertical axis shows power. Level 2 sample sizes are shown on top of each panel in grey. LV1 stands for Level 1 and LV2 stands for Level 2

Back to article page