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Standardized Effect Size Measures for Mediation Analysis in Cluster-Randomized Trials.

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Title: Standardized Effect Size Measures for Mediation Analysis in Cluster-Randomized Trials.
Authors: Stapleton, Laura M. (AUTHOR), Pituch, Keenan A. (AUTHOR), Dion, Eric (AUTHOR)
Source: Journal of Experimental Education. 2015, Vol. 83 Issue 4, p547-582. 36p. 4 Diagrams, 4 Charts.
Subjects: Effect sizes (Statistics), Cluster analysis (Statistics), Multilevel models, Regression analysis, Mediation (Statistics)
Abstract: This article presents 3 standardized effect size measures to use when sharing results of an analysis of mediation of treatment effects for cluster-randomized trials. The authors discuss 3 examples of mediation analysis (upper-level mediation, cross-level mediation, and cross-level mediation with a contextual effect) with demonstration of the calculation and interpretation of the effect size measures using a simulated dataset and an empirical dataset from a cluster-randomized trial of peer tutoring. SAS syntax is provided for parametric percentile bootstrapped confidence intervals of the effect sizes. The use of any of the 3 standardized effect size measures depends on the nature of the inference the researcher wishes to make within a single site, across the broad population, or at the site level. [ABSTRACT FROM PUBLISHER]
Copyright of Journal of Experimental Education is the property of Taylor & Francis Ltd 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: Psychology and Behavioral Sciences Collection
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  Data: Standardized Effect Size Measures for Mediation Analysis in Cluster-Randomized Trials.
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  Data: <searchLink fieldCode="AR" term="%22Stapleton%2C+Laura+M%2E%22">Stapleton, Laura M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pituch%2C+Keenan+A%2E%22">Pituch, Keenan A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dion%2C+Eric%22">Dion, Eric</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+Education%22">Journal of Experimental Education</searchLink>. 2015, Vol. 83 Issue 4, p547-582. 36p. 4 Diagrams, 4 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Effect+sizes+%28Statistics%29%22">Effect sizes (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis+%28Statistics%29%22">Cluster analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Multilevel+models%22">Multilevel models</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mediation+%28Statistics%29%22">Mediation (Statistics)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article presents 3 standardized effect size measures to use when sharing results of an analysis of mediation of treatment effects for cluster-randomized trials. The authors discuss 3 examples of mediation analysis (upper-level mediation, cross-level mediation, and cross-level mediation with a contextual effect) with demonstration of the calculation and interpretation of the effect size measures using a simulated dataset and an empirical dataset from a cluster-randomized trial of peer tutoring. SAS syntax is provided for parametric percentile bootstrapped confidence intervals of the effect sizes. The use of any of the 3 standardized effect size measures depends on the nature of the inference the researcher wishes to make within a single site, across the broad population, or at the site level. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of Journal of Experimental Education is the property of Taylor & Francis Ltd 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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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/00220973.2014.919569
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 36
        StartPage: 547
    Subjects:
      – SubjectFull: Effect sizes (Statistics)
        Type: general
      – SubjectFull: Cluster analysis (Statistics)
        Type: general
      – SubjectFull: Multilevel models
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Mediation (Statistics)
        Type: general
    Titles:
      – TitleFull: Standardized Effect Size Measures for Mediation Analysis in Cluster-Randomized Trials.
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            NameFull: Stapleton, Laura M.
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            NameFull: Pituch, Keenan A.
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            NameFull: Dion, Eric
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              Text: 2015
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              Value: 83
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