Literaturnachweis - Detailanzeige
| Autor/in | Lin, Xin |
|---|---|
| Titel | Investigating the Unique Predictors of Word-Problem Solving Using Meta-Analytic Structural Equation Modeling |
| Quelle | In: Educational Psychology Review, 33 (2021) 3, S.1097-1124 (28 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Lin, Xin) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1040-726X |
| DOI | 10.1007/s10648-020-09554-w |
| Schlagwörter | Predictor Variables; Word Problems (Mathematics); Problem Solving; Mathematics Skills; Thinking Skills; Short Term Memory; Attention; Vocabulary Development; Computation; Elementary School Students; Age Differences; Comprehension |
| Abstract | The purpose of the present study is to clarify the contributions of cognitive skills (nonverbal reasoning, language comprehension, working memory, attention, processing speed) and academic skills (mathematics facts retrieval, mathematics computation, mathematics vocabulary, reading comprehension) in performing mathematics word problems among elementary school students. With the two-stage meta-analytic structural equation modeling approach, I synthesized 112 correlation matrices from 98 empirical studies (N = 111,346) and fitted the hypothesized partial mediation model. Overall, path analysis indicated that language comprehension, working memory, attention, mathematics vocabulary, and mathematics computation were unique predictors of word-problem solving. Subgroup analysis demonstrated different unique predictors for younger and older students to perform word problems (K-2nd grades versus 3rd-5th grades). Implications, limitations, and future directions are discussed. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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