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Comparison of Nonoverlap Methods for Identifying Treatment Effect in Single-Subject Experimental Research.

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Title: Comparison of Nonoverlap Methods for Identifying Treatment Effect in Single-Subject Experimental Research.
Authors: Rakap, Salih1 salihrakap@ufl.edu, Snyder, Patricia1, Pasia, Cathleen1
Source: Behavioral Disorders. May2014, Vol. 39 Issue 3, p128-145. 18p.
Subject Terms: *Comparative studies, *Statistical correlation, *Research methodology, *Data analysis, *Inter-observer reliability, *Evaluation, Health outcome assessment, Research evaluation, Research funding, Statistics, Treatment effectiveness, Data analysis software, Descriptive statistics
Abstract: Debate is occurring about which result interpretation aides focused on examining the experimental effect should be used in single-subject experimental research. In this study, we examined seven nonoverlap methods and compared results using each method to judgments of two visual analysts. The data sources for the present study were 36 studies focused on naturalistic instruction interventions for young children with disabilities and 222 A-B graphs available in these studies. Two visual analysts made judgments about whether a functional relationship was evident in 222 A-B graphs. A graphing program was used to derive data for calculating each of the nonoverlap methods. Results showed that (a) estimates of experimental effect varied across the seven nonoverlap methods and (b) nonoverlap methods corresponding most closely with visual analysts' judgments of a change in data patterns differed from the nonoverlap methods that corresponded most closely with visual analysts' judgments of no change in data patterns. Based on findings from this study, we discuss considerations for selection and use of nonoverlap methods as result interpretation aides in single-subject experimental research and offer directions for future research [ABSTRACT FROM AUTHOR]
Copyright of Behavioral Disorders is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Comparison of Nonoverlap Methods for Identifying Treatment Effect in Single-Subject Experimental Research.
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  Data: <searchLink fieldCode="JN" term="%22Behavioral+Disorders%22">Behavioral Disorders</searchLink>. May2014, Vol. 39 Issue 3, p128-145. 18p.
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  Data: Debate is occurring about which result interpretation aides focused on examining the experimental effect should be used in single-subject experimental research. In this study, we examined seven nonoverlap methods and compared results using each method to judgments of two visual analysts. The data sources for the present study were 36 studies focused on naturalistic instruction interventions for young children with disabilities and 222 A-B graphs available in these studies. Two visual analysts made judgments about whether a functional relationship was evident in 222 A-B graphs. A graphing program was used to derive data for calculating each of the nonoverlap methods. Results showed that (a) estimates of experimental effect varied across the seven nonoverlap methods and (b) nonoverlap methods corresponding most closely with visual analysts' judgments of a change in data patterns differed from the nonoverlap methods that corresponded most closely with visual analysts' judgments of no change in data patterns. Based on findings from this study, we discuss considerations for selection and use of nonoverlap methods as result interpretation aides in single-subject experimental research and offer directions for future research [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behavioral Disorders is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/019874291303900303
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        Text: English
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        StartPage: 128
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      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Statistical correlation
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      – SubjectFull: Health outcome assessment
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      – SubjectFull: Research funding
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      – SubjectFull: Statistics
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      – SubjectFull: Treatment effectiveness
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      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
    Titles:
      – TitleFull: Comparison of Nonoverlap Methods for Identifying Treatment Effect in Single-Subject Experimental Research.
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              Text: May2014
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