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    A Parametric Analysis of Rehearsal Opportunities During Training of Functional Analysis Conditions

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    Issue Date
    2015-05-31
    Author
    Jenkins, Sarah R.
    Publisher
    University of Kansas
    Format
    203 pages
    Type
    Dissertation
    Degree Level
    Ph.D.
    Discipline
    Applied Behavioral Science
    Rights
    Copyright held by the author.
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    Abstract
    The purpose of the current studies was to evaluate the use of rehearsal during training on the fidelity of functional analysis conditions. Study 1 used a parametric analysis of the number of rehearsal opportunities to examine the effects on the fidelity with which participants implemented three functional analysis conditions. One, three, and 10 rehearsals were examined, which were counterbalanced across three undergraduate participants. Next, participants experienced additional rehearsals until they met criterion. On average, participants met criterion after 7.6 rehearsals (4, 5.7, and 13 rehearsals for the one, three, and 10 rehearsal conditions, respectively). Study 2 incorporated a video model to evaluate the effects of the number of rehearsal opportunities with a behavioral skills training package with 18 undergraduate participants. Results indicate the addition of the video model decreased the average number of rehearsals (M = 6.3) necessary to meet criterion by just over one and a half rehearsals (3.5, 4.8, and 11.5 rehearsals for the one, three, and 10 rehearsal conditions, respectively) compared to Study 1. A training acceptability survey suggested rehearsal with feedback was more acceptable than instructions and the full behavioral skills training package was highly acceptable.
    URI
    http://hdl.handle.net/1808/19052
    Collections
    • Applied Behavioral Science Dissertations and Theses [114]
    • Dissertations [3958]

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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