Comparing Three Approaches to Handling Dependency: A Case Study of a Meta-Analysis of Writing Self-Efficacy and Writing Proficiency

Ting Sun , Chuang Wang , Richard G. Lambert

Journal of Modern Applied Statistical Methods ›› 2025, Vol. 24 ›› Issue (2) : 100005

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Journal of Modern Applied Statistical Methods ›› 2025, Vol. 24 ›› Issue (2) :100005 DOI: 10.53941/jmasm.2025.100005
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Comparing Three Approaches to Handling Dependency: A Case Study of a Meta-Analysis of Writing Self-Efficacy and Writing Proficiency
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Abstract

This study compared three approaches (i.e., averaging within-study effect sizes, three-level meta-analysis, and robust variance estimation) to handle dependent correlational effect sizes in conducting a meta-analysis. Data were from a meta-analytic study examining the relationship between writing self-efficacy and writing proficiency. To examine the differences in the performance of the three approaches, seven conditions were created by the number of studies and the number of effect sizes per study. While all three approaches produced similar results in the average effect size and standard error, the averaging approach had much smaller variance estimates. The patterns were basically consistent across different conditions. This study informs meta-analysts of appropriate procedures in handling the dependent effect sizes.

Keywords

dependency / effect size / averaging / three-level meta-analysis / robust variance estimation

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Ting Sun, Chuang Wang, Richard G. Lambert. Comparing Three Approaches to Handling Dependency: A Case Study of a Meta-Analysis of Writing Self-Efficacy and Writing Proficiency. Journal of Modern Applied Statistical Methods, 2025, 24(2): 100005 DOI:10.53941/jmasm.2025.100005

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Author Contributions

T.S.: conceptualization, methodology, software, data curation, writing-original draft preparation, visualization, investigation, writing-reviewing and editing; C.W.: conceptualization, methodology, writing-reviewing and editing, supervision, validation; R.G.L.: conceptualization, methodology, writing-reviewing and editing, supervision, validation. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data supporting the findings of this study are available from the corresponding author and can be shared upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

Use of AI and AI-Assisted Technologies

No AI tools were utilized for this paper.

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