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Evaluation of a Functional Analysis Decision-Making Model
Benson, Morgan E
Benson, Morgan E
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Abstract
Functional analyses are the most precise method for determining behavioral function (Iwata et al., 2000); however, there are many behavioral and environmental constraints that may prevent clinicians from conducting a standard functional analysis (Oliver et al., 2015). There are functional analysis variations that address constraints such as time (e.g., pairwise, Tarbox et al., 2004; brief, Northup et al., 1991), high-risk behavior (e.g., precursor, Fritz et al., 2013; Smith & Churchill, 2002), and setting (e.g., trial-based; Bloom et al., 2013). The purposes of the current study were to create and validate a functional analysis decision-making model for selecting an initial functional analysis variation (Study 1) and to evaluate the decision-making model with and without training for selecting an initial functional analysis variation given a scenario (Study 2). Results of Study 1 suggest the validity of the decision-making model due to the partial and exact agreement with experts. Results of Study 2 suggest the decision-making model in the absence of training was effective for three participants, whereas additional training components (i.e., computer-based training, rehearsal and feedback) were needed for five of eight participants. Half of the participants met mastery criteria.
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2021-05-31
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University of Kansas
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Keywords
Behavioral sciences, computer-based training, decision-making model, functional analysis