TOWARD THE DEVELOPMENT OF STRUCTURED CRITERIA FOR INTERPRETATION OF FUNCTIONAL ANALYSIS DATA

Using functional analysis results to prescribe treatments is the preferred method for developing behavioral interventions. Little is known, however, about the reliability and validity of visual inspection for the interpretation of functional analysis data. The purpose of this investigation was to de...

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Veröffentlicht in:Journal of applied behavior analysis 1997, Vol.30 (2), p.313-326
Hauptverfasser: Hagopian, Louis P., Fisher, Wayne W., Thompson, Rachel H., Owen-DeSchryver, Jamie, Iwata, Brian A., Wacker, David P.
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container_end_page 326
container_issue 2
container_start_page 313
container_title Journal of applied behavior analysis
container_volume 30
creator Hagopian, Louis P.
Fisher, Wayne W.
Thompson, Rachel H.
Owen-DeSchryver, Jamie
Iwata, Brian A.
Wacker, David P.
description Using functional analysis results to prescribe treatments is the preferred method for developing behavioral interventions. Little is known, however, about the reliability and validity of visual inspection for the interpretation of functional analysis data. The purpose of this investigation was to develop a set of structured criteria for visual inspection of multielement functional analyses that, when applied correctly, would increase interrater agreement and agreement with interpretations reached by expert consensus. In Study 1, 3 predoctoral interns interpreted functional analysis graphs, and interrater agreement was low (M = .46). In Study 2, 64 functional analysis graphs were interpreted by a panel of experts, and then a set of structured criteria were developed that yielded interpretive results similar to those of the panel (exact agreement = .94). In Study 3, the 3 predoctoral interns from Study 1 were trained to use the structured criteria, and the mean interrater agreement coefficient increased to .81. The results suggest that (a) the interpretation of functional analysis data may be less reliable than is generally assumed, (b) decision‐making rules used by experts in the interpretation of functional analysis data can be operationalized, and (c) individuals can be trained to apply these rules accurately to increase interrater agreement. Potential uses of the criteria are discussed.
doi_str_mv 10.1901/jaba.1997.30-313
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Little is known, however, about the reliability and validity of visual inspection for the interpretation of functional analysis data. The purpose of this investigation was to develop a set of structured criteria for visual inspection of multielement functional analyses that, when applied correctly, would increase interrater agreement and agreement with interpretations reached by expert consensus. In Study 1, 3 predoctoral interns interpreted functional analysis graphs, and interrater agreement was low (M = .46). In Study 2, 64 functional analysis graphs were interpreted by a panel of experts, and then a set of structured criteria were developed that yielded interpretive results similar to those of the panel (exact agreement = .94). In Study 3, the 3 predoctoral interns from Study 1 were trained to use the structured criteria, and the mean interrater agreement coefficient increased to .81. The results suggest that (a) the interpretation of functional analysis data may be less reliable than is generally assumed, (b) decision‐making rules used by experts in the interpretation of functional analysis data can be operationalized, and (c) individuals can be trained to apply these rules accurately to increase interrater agreement. Potential uses of the criteria are discussed.</description><subject>Agreements</subject><subject>assessment</subject><subject>Behavior</subject><subject>Biological and medical sciences</subject><subject>Decision making</subject><subject>functional analysis</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Graphs</subject><subject>Humans</subject><subject>Inspection</subject><subject>Intellectual Disability</subject><subject>interrater agreement</subject><subject>Interrater Reliability</subject><subject>Mental Disorders - diagnosis</subject><subject>Methodology. 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Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of applied behavior analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hagopian, Louis P.</au><au>Fisher, Wayne W.</au><au>Thompson, Rachel H.</au><au>Owen-DeSchryver, Jamie</au><au>Iwata, Brian A.</au><au>Wacker, David P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>TOWARD THE DEVELOPMENT OF STRUCTURED CRITERIA FOR INTERPRETATION OF FUNCTIONAL ANALYSIS DATA</atitle><jtitle>Journal of applied behavior analysis</jtitle><addtitle>J Appl Behav Anal</addtitle><date>1997</date><risdate>1997</risdate><volume>30</volume><issue>2</issue><spage>313</spage><epage>326</epage><pages>313-326</pages><issn>0021-8855</issn><eissn>1938-3703</eissn><coden>JOABAW</coden><abstract>Using functional analysis results to prescribe treatments is the preferred method for developing behavioral interventions. 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The results suggest that (a) the interpretation of functional analysis data may be less reliable than is generally assumed, (b) decision‐making rules used by experts in the interpretation of functional analysis data can be operationalized, and (c) individuals can be trained to apply these rules accurately to increase interrater agreement. Potential uses of the criteria are discussed.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>9210309</pmid><doi>10.1901/jaba.1997.30-313</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
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subjects Agreements
assessment
Behavior
Biological and medical sciences
Decision making
functional analysis
Fundamental and applied biological sciences. Psychology
Graphs
Humans
Inspection
Intellectual Disability
interrater agreement
Interrater Reliability
Mental Disorders - diagnosis
Methodology. Experimentation
Observer Variation
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Psychometrics. Statistics. Methodology
Random Allocation
Rules
Statistical analysis
visual inspection
title TOWARD THE DEVELOPMENT OF STRUCTURED CRITERIA FOR INTERPRETATION OF FUNCTIONAL ANALYSIS DATA
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