MultiSCED: A tool for (meta-)analyzing single-case experimental data with multilevel modeling

The MultiSCED web application has been developed to assist applied researchers in behavioral sciences to apply multilevel modeling to quantitatively summarize single-case experimental design (SCED) studies through a user-friendly point-and-click interface embedded within R. In this paper, we offer a...

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Bibliographic Details
Published inBehavior research methods Vol. 52; no. 1; pp. 177 - 192
Main Authors Declercq, Lies, Cools, Wilfried, Beretvas, S. Natasha, Moeyaert, Mariola, Ferron, John M., Van den Noortgate, Wim
Format Journal Article
LanguageEnglish
Published New York Springer US 01.02.2020
Springer Nature B.V
Subjects
Behavioral Science and Psychology
Cognitive Psychology
Psychology
Researchers
Single-case experimental design
SCED
R
Multilevel analysis
Shiny
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Summary:The MultiSCED web application has been developed to assist applied researchers in behavioral sciences to apply multilevel modeling to quantitatively summarize single-case experimental design (SCED) studies through a user-friendly point-and-click interface embedded within R. In this paper, we offer a brief introduction to the application, explaining how to define and estimate the relevant multilevel models and how to interpret the results numerically and graphically. The use of the application is illustrated through a re-analysis of an existing meta-analytic dataset. By guiding applied researchers through MultiSCED, we aim to make use of the multilevel modeling technique for combining SCED data across cases and across studies more comprehensible and accessible.
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ISSN:1554-3528
1554-3528
DOI:10.3758/s13428-019-01216-2