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

Lies Declercq1, Wilfried Cools2, S Natasha Beretvas3

  • 1Faculty of Psychology and Educational Sciences, imec - ITEC, KU Leuven, Leuven, Belgium. lies.declercq@kuleuven.be.

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Summary
This summary is machine-generated.

The MultiSCED application simplifies quantitative synthesis of single-case experimental design (SCED) studies for behavioral researchers. It enables accessible multilevel modeling analysis and interpretation for combining SCED data.

Keywords:
Multilevel analysisRSCEDShinySingle-case experimental design

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Area of Science:

  • Behavioral Sciences
  • Quantitative Psychology
  • Research Methodology

Background:

  • Single-case experimental designs (SCED) generate valuable data for behavioral interventions.
  • Synthesizing findings from SCED studies quantitatively presents analytical challenges.
  • Applied researchers often require accessible tools for complex statistical methods.

Purpose of the Study:

  • Introduce the MultiSCED web application for analyzing SCED data.
  • Facilitate the application of multilevel modeling to SCED research.
  • Enhance the accessibility and comprehension of quantitative synthesis for SCED studies.

Main Methods:

  • Development of a user-friendly, point-and-click web application (MultiSCED) within the R environment.
  • Implementation of multilevel modeling techniques for summarizing SCED data.
  • Graphical and numerical interpretation of model outputs.

Main Results:

  • The MultiSCED application provides a streamlined interface for defining and estimating multilevel models for SCED data.
  • Re-analysis of an existing meta-analytic dataset demonstrates the application's utility.
  • Clear numerical and graphical outputs aid in result interpretation.

Conclusions:

  • MultiSCED makes advanced multilevel modeling techniques for SCED data more accessible to applied behavioral researchers.
  • The application supports the quantitative summarization and synthesis of SCED studies across cases and research.
  • Increased accessibility of these methods can advance evidence-based practices in behavioral sciences.