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Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE

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The Analysis of Whose Verbal Behavior?

Paige Ellington¹, Tom Cariveau¹

¹Department of Psychology, University of North Carolina Wilmington, 601 S. College Rd, Wilmington, NC 28403 USA.

The Analysis of Verbal Behavior

|July 4, 2024

Summary

Participant demographics are poorly described in behavior analytic journals. This review found that only age and gender identity were reported for most participants, hindering research inclusivity.

Keywords:

The Analysis of Verbal Behavior characterization demographics participant reporting

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Area of Science:

Behavior analysis
Psychology
Research methodology

Background:

Previous reviews indicate inadequate participant demographic descriptions in behavior analytic journals.
Existing reviews have limitations in scope, focus, or population studied.
Comprehensive participant characterization is crucial for scientific rigor and generalizability.

Purpose of the Study:

To conduct a scoping review of participant demographics in *The Analysis of Verbal Behavior* from 1982-2020.
To identify which demographic variables are reported for participants in published studies.
To analyze trends in demographic reporting over time.

Main Methods:

Scoping review of all articles published in *The Analysis of Verbal Behavior* (1982-2020).
Coded six demographic variables for 1888 participants across 226 articles.
Analyzed the frequency and trends of reported demographic information.

Main Results:

Only age (85.4%) and gender identity (71.6%) were reported for the majority of participants.
Socioeconomic status, race/ethnicity, and primary language were reported for less than 20% of participants.
A slight increasing trend in reported demographic variables was observed over time, with significant year-to-year variability.

Conclusions:

Editors and reviewers should establish standards for adequate participant demographic characterization.
Improved reporting can encourage research with underrepresented populations.
Enhancing demographic data is essential for advancing behavior analytic research.