Language and literacy profiles: A mixture modeling approach

Lee, Julia Ai Cheng and Stephanie, Al Otaiba (2013) Language and literacy profiles: A mixture modeling approach. Procedia - Social and Behavioral Sciences, 97. 114 -121. ISSN 1877-0428

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Mixture modeling was used to examined the: (a) heterogeneity and prevalence of the language and literacy profiles among 521 first grade students (Malaysian equivalent of Primary 1) and (b) predictors that optimize the classification of language and literacy profiles. Based on the Simple View of Reading as a theoretical framework, five language and literacy profiles were identified. These were students with: a) the weakest performance on average in literacy but slightly higher language skills, b) weak performance in both language and literacy, c) average performance in language and literacy, d) above average performance on language and literacy, and e) the strongest performance in language and literacy. Unique predictors of class membership differentiation for all groups were phonological awareness, teacher judgment on academic achievement, and socioeconomic status.

Item Type: Article
Uncontrolled Keywords: mixturemodelling, latent profiles, language, literacy, first grade, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: L Education > L Education (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Ai Cheng
Date Deposited: 24 Sep 2018 00:31
Last Modified: 25 Jan 2022 06:44

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