Literaturnachweis - Detailanzeige
Autor/inn/en | Hornburg, Caroline Byrd; Wang, Lijuan; McNeil, Nicole M. |
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Titel | Comparing Meta-Analysis and Individual Person Data Analysis Using Raw Data on Children's Understanding of Equivalence |
Quelle | In: Child Development, 89 (2018) 6, S.1983-1995 (13 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Hornburg, Caroline Byrd) Weitere Informationen |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0009-3920 |
DOI | 10.1111/cdev.13058 |
Schlagwörter | Meta Analysis; Accuracy; Problem Solving; Comparative Analysis; Child Development; Mathematics Skills; Individual Characteristics; Prediction; Children |
Abstract | 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[subscript 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. The title for this Special Section is Meta-analysis and Individual Participant Data Synthesis in Child Development, edited by Glenn I. Roisman and Marinus H. van IJzendoorn (As Provided). |
Anmerkungen | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |