This app helps you to explore and analyze your single-case experimental design (SCED) data with R.
By going over the tabs in the top navigation bar one by one, you can analyze your SCED dataset step by step. Start by uploading a data file in the Input tab and assign the variables. Indicate which variables you want to include and prepare your data for analysis. Define the regression models for analysis in the Model tab. Perform a simple linear regression analysis per case in the One-level analysis tab. Perform a two-level analysis per study (if applicable) in the Two-level analysis tab. Perform a three-level (meta-)analysis in the Three-level analysis tab.
Declercq, L., Cools, W., Beretvas, S. N., Moeyaert, M., Ferron, J. M., & Van den Noortgate, W. (2020). MultiSCED: A tool for (meta-)analyzing single-case experimental data with multilevel modeling. Behavior Research Methods, 52, 177–192. https://doi.org/10.3758/s13428-019-01216-2
This tool is being built as part of research funded by the Institute of Education Sciences, U.S. Department of Education, grant number R305D150007. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.
Total number of studies
Total number of cases
Total number of observations
Model
Model
Fixed effects
Random effects
Model
Fixed effects
Random effects
A full and detailed overview of the MultiSCED functionality is illustrated in the MultiSCED User Guide. The illustration is based on a real data example by Shogren, Faggella-Luby, Bae and Wehmeyer (2004) and the dataset can be downloaded here.
Lies Declercq
Wim Van den Noortgate
Declercq, L., Cools, W., Beretvas, S. N., Moeyaert, M., Ferron, J. M., & Van den Noortgate, W. (2020). MultiSCED: A tool for (meta-)analyzing single-case experimental data with multilevel modeling. Behavior Research Methods, 52, 177–192. https://doi.org/10.3758/s13428-019-01216-2
Shogren, K. A., Faggella-Luby, M. N., Bae, S. J., & Wehmeyer, M. L. (2004). The effect of choice-making as an intervention for problem behavior: a meta-analysis. Journal of Positive Behavior Interventions, 6(4), 228–237. http://doi.org/10.1177/10983007040060040401