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Group Design

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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...

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Factorial Design

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A primer for using multilevel models to meta-analyze single case design data with AB phases.

Jessica L Becraft^1,2, John C Borrero³, Shuyan Sun³

¹Johns Hopkins University School of Medicine.

Journal of Applied Behavior Analysis

|May 19, 2020

Summary

This study introduces multilevel models as a method for behavior analysts to meta-analyze single-case designs. This approach helps synthesize data from treatment evaluation studies, advancing the science of behavior analysis.

Keywords:

differential-reinforcement-of-low-rate hierarchical linear modeling meta-analysis multilevel model quantitative review single-case designs

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Area of Science:

Behavior Analysis
Research Methodology

Background:

Meta-analytic methods are underutilized in behavior analytic studies.
Single-case designs are common in behavior analysis but challenging to meta-analyze.
Multilevel models offer a potential solution for synthesizing single-case data.

Purpose of the Study:

To provide a primer on conducting multilevel models for single-case designs (AB phases).
To guide behavior analysts in performing meta-analyses of single-case data.
To demonstrate the value of meta-analysis in summarizing behavior analytic research.

Main Methods:

Focuses on multilevel modeling techniques applicable to single-case designs.
Utilizes data from the differential reinforcement of low rate (DRL) behavior literature.
Provides practical guidance on study selection, data organization, and analysis.

Main Results:

Details recommendations and considerations for implementing multilevel models.
Offers accessible data sets for readers to replicate analyses.
Establishes a framework for synthesizing single-case experimental data.

Conclusions:

Multilevel models are a viable and promising method for meta-analyzing single-case data in behavior analysis.
This primer equips behavior analysts with the skills to conduct meta-analyses, advancing the field.
Meta-analysis of single-case designs can effectively summarize the current state of behavior analytic science and practice.