This app helps you to explore and analyze your single-case experimental design (SCED) data with R.

Getting started

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.

How to reference this tool

Declercq, L., Cools, W., Beretvas, S. N., Moeyaert, M., Ferron, J. M., & Van den Noortgate, W. (2018). MultiSCED: A tool for (meta-)analyzing single-case experimental data. Manuscript in preparation.

Acknowledgements

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.

Base variables

Moderator variables

Total number of studies

Total number of cases

Total number of observations


Fixed effects

Random effects

One-level model

Used in the case-specific analysis and is estimated per case.

Two-level model

Used in the study-specific meta-analysis and is estimated per study.

Three-level model

Used in the full meta-analysis.

R formula expressions

Used in the R implementation.

                      
Is estimated per case and is used to standardize the raw data by dividing by the RMSE.

Model

Model

Fixed effects


                  

Random effects


                

Model

Fixed effects


                  

Random effects


                

Documentation

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.

Contact

Lies Declercq
Wim Van den Noortgate

References

Declercq, L., Cools, W., Beretvas, S. N., Moeyaert, M., Ferron, J. M., & Van den Noortgate, W. (2018). MultiSCED: A tool for (meta-)analyzing single-case experimental data. Manuscript in preparation.

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