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Operationally Comparable Effect Sizes for Quantifying Changes in Behavior, with Application to Meta-Analysis of Single-Case Studies

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Title: Operationally Comparable Effect Sizes for Quantifying Changes in Behavior, with Application to Meta-Analysis of Single-Case Studies
Language: English
Authors: Pustejovsky, James E., Society for Research on Educational Effectiveness (SREE)
Source: Society for Research on Educational Effectiveness. 2013.
Availability: Society for Research on Educational Effectiveness. 2040 Sheridan Road, Evanston, IL 60208. Tel: 202-495-0920; Fax: 202-640-4401; e-mail: inquiries@sree.org; Web site: http://www.sree.org
Peer Reviewed: Y
Page Count: 16
Publication Date: 2013
Document Type: Reports - Research
Descriptors: Case Studies, Behavior Change, Meta Analysis, Observation, Intervention, Special Education, School Psychology, Models, Effect Size, Incidence, Behavior Patterns, Statistical Analysis, Measurement Techniques, Social Work, Outcomes of Treatment
Abstract: Single-case designs (SCDs) are a class of research methods for evaluating intervention effects by taking repeated measurements of an outcome over time on a single case, both before and after the deliberate introduction of a treatment. SCDs are used heavily in fields such as special education, school psychology, social work, and applied behavior analysis. Several different operational procedures are commonly used to record direct observations of human behavior, ranging from continuous duration recording to interval recording methods. This methodological research will describe a model for behavioral observation data that allows definition of an intuitively interpretable, operationally comparable effect size, the prevalence odds ratio (POR). After defining the POR, the author describes basic estimators based on data from several different recording methods. The model described in this abstract provides a basis for defining an operationally comparable effect size, the prevalence odds ratio, that allows comparisons and meta-analytic summaries of treatment effects measured using different behavioral observation recording procedures. Tables and figures are appended.
Abstractor: ERIC
Number of References: 40
Entry Date: 2016
Accession Number: ED563364
Database: ERIC
FullText Text:
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  Data: Operationally Comparable Effect Sizes for Quantifying Changes in Behavior, with Application to Meta-Analysis of Single-Case Studies
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  Data: Single-case designs (SCDs) are a class of research methods for evaluating intervention effects by taking repeated measurements of an outcome over time on a single case, both before and after the deliberate introduction of a treatment. SCDs are used heavily in fields such as special education, school psychology, social work, and applied behavior analysis. Several different operational procedures are commonly used to record direct observations of human behavior, ranging from continuous duration recording to interval recording methods. This methodological research will describe a model for behavioral observation data that allows definition of an intuitively interpretable, operationally comparable effect size, the prevalence odds ratio (POR). After defining the POR, the author describes basic estimators based on data from several different recording methods. The model described in this abstract provides a basis for defining an operationally comparable effect size, the prevalence odds ratio, that allows comparisons and meta-analytic summaries of treatment effects measured using different behavioral observation recording procedures. Tables and figures are appended.
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      – SubjectFull: Behavior Patterns
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      – TitleFull: Operationally Comparable Effect Sizes for Quantifying Changes in Behavior, with Application to Meta-Analysis of Single-Case Studies
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