Evaluating the Predictive Validity of the Computerized Comprehension Task: Comprehension Predicts Production

Autor/inn/en	Friend, Margaret; Schmitt, Sara A.; Simpson, Adrianne M.
Titel	Evaluating the Predictive Validity of the Computerized Comprehension Task: Comprehension Predicts Production
Quelle	In: Developmental Psychology, 48 (2012) 1, S.136-148 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0012-1649
DOI	10.1037/a0025511
Schlagwörter	Evidence; Predictive Validity; Language Acquisition; Linguistic Theory; Comprehension; Longitudinal Studies; Measurement Techniques; Parents; Child Language; Infants; At Risk Persons; Computer Uses in Education; Task Analysis + Suchen Sie Ihr Suchwort? Evidenz; Sprachaneignung; Spracherwerb; Linguistische Theorie; Verstehen; Verständnis; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Messtechnik; Eltern; 'Children''s language'; Kindersprache; Infant; Toddler; Toddlers; Kleinkind; Risikogruppe; Computernutzung; Aufgabenanalyse
Abstract	Until recently, the challenges inherent in measuring comprehension have impeded our ability to predict the course of language acquisition. The present research reports on a longitudinal assessment of the convergent and predictive validity of the MacArthur-Bates Communicative Development Inventories: Words and Gestures (CDI: WG; Fenson et al., 1994, 1993, 2007) and the Computerized Comprehension Task (CCT; Friend & Keplinger, 2003, 2008). The CDI: WG and the CCT evinced good convergent validity; however, the CCT better predicted subsequent parent reports of language production. Language sample data in the 3rd year confirm this finding: The CCT accounted for 24% of the variance in unique word use. These studies provide evidence for the utility of a behavior-based approach to predicting the course of language acquisition into production. (Contains 5 tables and 1 figure.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10