Academic Journal
A preliminary data analysis workflow for meta-analysis of dependent effect sizes.
| Τίτλος: | A preliminary data analysis workflow for meta-analysis of dependent effect sizes. |
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| Συγγραφείς: | Pustejovsky JE; Department of Educational Psychology, University of Wisconsin-Madison, Madison, WI, USA., Zhang J; Department of Educational Psychology, University of Wisconsin-Madison, Madison, WI, USA., Tipton E; Department of Statistics and Data Science, Northwestern University, Evanston, IL, USA. |
| Πηγή: | Philosophical transactions. Series A, Mathematical, physical, and engineering sciences [Philos Trans A Math Phys Eng Sci] 2026 May 28; Vol. 384 (2321). |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: The Royal Society Country of Publication: England NLM ID: 101133385 Publication Model: Print Cited Medium: Internet ISSN: 1471-2962 (Electronic) Linking ISSN: 1364503X NLM ISO Abbreviation: Philos Trans A Math Phys Eng Sci Subsets: MEDLINE; PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: London : The Royal Society, c1996- |
| Περίληψη: | In many fields of application, meta-analyses routinely involve dependent effect size estimates and hierarchical data structures. Statistical methods for analysing dependent effect sizes are now well-developed, but there has been less attention paid to the initial stages of data analysis, prior to formal modelling. We propose a generic workflow for preliminary, exploratory analyses of meta-analytic databases that involve dependent effect sizes, which focuses on validating the integrity of the input data and informing decisions about subsequent statistical modelling. The workflow entails creating summaries and visualizations of features of the primary studies included in the meta-analysis to aid in understanding the structure and distribution of the data, especially with respect to between- and within-study variation. We illustrate the workflow using data from previously published meta-analyses and discuss connections between the preliminary analysis and subsequent statistical modelling strategies. This article is part of the theme issue 'Statistical workflow'. (© 2026 The Author(s).) |
| Grant Information: | Institute of Education Sciences |
| Contributed Indexing: | Keywords: initial data analysis; meta-analysis; workflow |
| Entry Date(s): | Date Created: 20260528 Latest Revision: 20260528 |
| Update Code: | 20260528 |
| DOI: | 10.1098/rsta.2024.0604 |
| PMID: | 42207047 |
| Βάση Δεδομένων: | MEDLINE |
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