Journal of Experimental Education vol:82 issue:1 pages:1-21
One approach for combining single-case data involves use of multilevel modeling. In this article we use a Monte Carlo simulation study to inform applied researchers under which realistic conditions the three-level model is appropriate. We vary the value of the immediate treatment effect and the treatment’s effect on the time trend, the number of studies, cases and measurements and the between-case and between-study variance. The study shows that the three-level approach results in unbiased estimates of both kinds of treatment effects. In order to have reasonable power for testing the treatment effects, we recommend researchers to use a homogeneous set of studies and to involve a minimum of 30 studies. The number of measurements and cases is of less importance.