The Synthesis of Partial Effect Sizes

Ariel M. Aloe; Christopher G. Thompson

doi:10.5243/jsswr.2013.24

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Journal article

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The Synthesis of Partial Effect Sizes

Ariel M. Aloe and Christopher G. Thompson

Journal of the Society for Social Work and Research, Vol.4(4), pp.390-405

2013

DOI: 10.5243/jsswr.2013.24

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Abstract

In this article we focus on three partial effect sizes for the correlation (r) family of effects: the standardized slope (b), the partial correlation (r p), and the semi-partial correlation (r sp). These partial effect sizes are useful for meta-analyses in two common situations: when primary studies reporting regression models do not report bivariate correlations, and when it is of specific interest to partial out the effects of other variables. We clarify the use of these three indices in the context of meta-analysis and describe how the indices can be estimated and analyzed. We provide examples of syntheses of these partial effect sizes using a published social work meta-analysis. Finally, we share practical recommendations for meta-analysts wanting to use such indices.

Confidence interval

Correlations

Job satisfaction

Meta analysis

Modeling

Population estimates

Regression analysis

Social work

Statistical discrepancies

Workloads

Details

Title: Subtitle: The Synthesis of Partial Effect Sizes
Creators: Ariel M. Aloe
Christopher G. Thompson
Resource Type: Journal article
Publication Details: Journal of the Society for Social Work and Research, Vol.4(4), pp.390-405
DOI: 10.5243/jsswr.2013.24
ISSN: 1948-822X
eISSN: 1948-822X
Publisher: University of Chicago Press
Language: English
Date published: 2013
Academic Unit: Psychological and Quantitative Foundations
Record Identifier: 9984374069302771

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