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Autor/inn/enDrummond, Todd; Nakamura, Pooja Reddy
TitelAn Examination of Early Grade Reading Assessments in Central Asia: Using Factor Analysis to Determine the Latent Data Structure in Kyrgyz, Russian, and Tajik
QuelleIn: Reading and Writing: An Interdisciplinary Journal, 34 (2021) 5, S.1343-1366 (24 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0922-4777
DOI10.1007/s11145-020-10110-9
SchlagwörterReading Tests; Factor Analysis; Grade 2; Grade 4; Russian; Turkic Languages; Indo European Languages; Foreign Countries; Elementary School Students; Alphabets; Slavic Languages; Decoding (Reading); Comprehension; Kyrgyzstan; Tajikistan
AbstractThe "early grade reading assessment" (EGRA) is frequently used in low and middle-income countries to inform the state of reading outcomes and reading instruction (Dubeck & Gove, 2015). Although the EGRA has been administered in languages with varying orthographies and scripts, there is little research on the cross-linguistic comparability of the psychometric properties of its subskills in a wide range of languages and diverse writing systems. In this study, Grade 2 and 4 assessment results in the Kyrgyz, Russian, and Tajik languages from the Kyrgyz Republic (4751 pupils) and Tajikistan (4328 pupils) were analyzed to determine the number and nature of the underlying EGRA constructs. These three languages represent very different languages families but all three use the Cyrillic or modified Cyrillic script. Principal axis factor analysis was employed on nationally representative samples to factor analyze reading results on nine reading subtasks for Grade 2 and seven reading subtasks for Grade 4. The results for all three languages indicate that the data structure confirms two common underlying reading constructs: decoding and language comprehension. By focusing our investigation on Kyrgyzstan and Tajikistan, we go beyond the "anglocentricities" (Share, 2008) and monolingualism inherent in the theoretical base that informs the development of many EGRAs. This is important not only for programmatic decision making and impact evaluation outcome measure identification, but also for the development and definition of literacy metrics that may be used in the measurement of the Sustainable Development Goals (SDG's) and other international development benchmarks. (As Provided).
AnmerkungenSpringer. 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 vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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