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Autor/inn/en | Shannon, Katherine A.; Scerif, Gaia; Raver, C. Cybele |
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Titel | Using a Multidimensional Model of Attention to Predict Low-Income Preschoolers' Early Academic Skills across Time |
Quelle | In: Developmental Science, 24 (2021) 2, (16 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1467-7687 |
DOI | 10.1111/desc.13025 |
Schlagwörter | Preschool Children; Low Income Groups; Attention; Models; Academic Ability; Prediction; Factor Structure; School Readiness; Longitudinal Studies Pre-school age; Preschool age; Child; Children; Pre-school education; Preschool education; Vorschulalter; Kind; Kinder; Vorschulkind; Vorschulkinder; Vorschulerziehung; Vorschule; Aufmerksamkeit; Analogiemodell; Vorhersage; Faktorenstruktur; Readiness for school; School ability; Schulreife; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung |
Abstract | The current study examines the organization of attention skills across the preschool year before kindergarten, and tests how distinct attention subcomponents predict early academic skills in a sample of low-income children (n = 99). Children completed well-validated attention tasks in fall at 4.5 years old and spring at 5 years old, capturing the abilities to selectively focus, sustain attention, and employ executive control. Exploratory factor analyses at both time points support a 2-factor model differentiating selective and sustained attention from attention processing speed and executive attention, suggesting that attention in low-income preschoolers may have a simpler organization than the 3-factor structure found in adulthood. Multiple regression models find children's ability to selectively focus and sustain attention serves as a robust concurrent and longitudinal predictor of academic skills. These results highlight the role of selective and sustained attention processes in supporting school readiness for economically vulnerable children. (As Provided). |
Anmerkungen | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |