The general purpose of this project is to enhance generalizability of single-subject experimental designs (SSEDs) across subjects, within or across studies. As more replications emerge and the evidence base accumulates, so does the need for statistical methods designed to synthesize SSED studies’ results and to explore sources of systematic variability in SSED results by employing moderator analyses. In this project, we focus especially on multilevel methods to combine single-subject data within and across studies.

The aim of this online manual is to assist applied educational researchers in estimating the el model and its extensions for synthesis of SSED studies’ results. In this manual, codes and macros for SAS and R will be described and illustrated step by step. Because the manual is meant for applied educational researchers rather than for statisticians, it will especially focus on the selection of the correct model and on the interpretation of the results, rather than on the statistical estimation details.