A Proof of Concept Demonstration for How to Evaluate Clinical Decision Models

ABSTRACT Decision models are frequently published in applied behavior analysis (ABA) to guide clinical decision‐making, yet few have been empirically tested for their validity. To help researchers and practitioners identify potential weaknesses in decision models, the present study demonstrates one analytic method researchers can use to assess the procedural validity of decision models. Participants ( N = 75) were presented with systematically designed hypothetical vignettes to comprehensively test all decision pathways. Each vignette described a client, challenging behavior, and the targeted therapeutic environment (e.g., school, home) similar to what might be collected during an intake process. Participants were then asked to select the best data collection procedure for their initial behavioral observation either without (baseline) or with access to an associated decision model. Access to the decision model did not significantly improve performance for the control or behavior analyst group. Once these data were collected, we demonstrate how an error analysis allows researchers to identify which decision points incorrect decisions cluster at, providing information on how to improve the language of the decision model. Having an analytic technique that identifies challenges in decision model language and decision paths will aid future researchers in the iterative process i.e. decision model design and validation.

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Publication Details

Journal
Behavioral Interventions
Published
2026-06-13
DOI
https://doi.org/10.1002/bin.70094
Primary Topic
Behavioral and Psychological Studies
Type
article
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article

A Proof of Concept Demonstration for How to Evaluate Clinical Decision Models

David J. Cox, Laura Weil
Behavioral Interventions
Behavioral and Psychological Studies
article

A Proof of Concept Demonstration for How to Evaluate Clinical Decision Models

David J. Cox, Laura Weil
article en

Abstract

ABSTRACT Decision models are frequently published in applied behavior analysis (ABA) to guide clinical decision‐making, yet few have been empirically tested for their validity. To help researchers and practitioners identify potential weaknesses in decision models, the present study demonstrates one analytic method researchers can use to assess the procedural validity of decision models. Participants ( N = 75) were presented with systematically designed hypothetical vignettes to comprehensively test all decision pathways. Each vignette described a client, challenging behavior, and the targeted therapeutic environment (e.g., school, home) similar to what might be collected during an intake process. Participants were then asked to select the best data collection procedure for their initial behavioral observation either without (baseline) or with access to an associated decision model. Access to the decision model did not significantly improve performance for the control or behavior analyst group. Once these data were collected, we demonstrate how an error analysis allows researchers to identify which decision points incorrect decisions cluster at, providing information on how to improve the language of the decision model. Having an analytic technique that identifies challenges in decision model language and decision paths will aid future researchers in the iterative process i.e. decision model design and validation.

Behavioral InterventionsVol. 41(3)
Endicott College (US), Oncology Specialists of Charlotte (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Behavioral and Psychological Studies
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A Proof of Concept Demonstration for How to Evaluate Clinical Decision Models — David J. Cox, Laura Weil · Behavioral Interventions (2026) | TGRS Research Map | TGRS