Comparing Meta-analysis and Individual Person Data Analysis Using Raw Data on Children's Understanding of Equivalence.

Autor: Hornburg CB; University of Notre Dame., Wang L; University of Notre Dame., McNeil NM; University of Notre Dame.
Jazyk: angličtina
Zdroj: Child development [Child Dev] 2018 Nov; Vol. 89 (6), pp. 1983-1995. Date of Electronic Publication: 2018 Mar 25.
DOI: 10.1111/cdev.13058
Abstrakt: A prevailing theory of mathematical problem solving predicts that children will be less accurate solving a + b = c + __ problems versus a + b = __ + c. However, this has never been tested directly. Because of low base rates, information combined from multiple studies can help improve estimation accuracy and precision. This study compared meta-analysis and individual person data (IPD) analysis using raw data from 14 studies (N = 1,414; ns = 30-232; M age reported = 8;7). Substantive results challenge the prevailing theory. Methodological results demonstrate the advantages of using meta-analysis and IPD over single-study analysis. Moreover, IPD can be more powerful than meta-regression for detecting between-study moderation effects.
(© 2018 Society for Research in Child Development.)
Databáze: MEDLINE
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