Performance of variable selection methods in predicting language proficiency using language learning proficiency

Johannah Jamalul Kiram, and Jumat Sulaiman, and Suyansah Swanto, and Wardatul Akmam Din, (2015) Performance of variable selection methods in predicting language proficiency using language learning proficiency. Applied Mathematical Sciences, 9 (12). pp. 557-568. ISSN 1312-885X

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Abstract

The goal of this study was to compare two multiple regression models generated using two different variable selection methods in order to determine which variable method was more reliable in constructing a better model. Two hundred thirty pre-university students of UMS participated by answering a self-report questionnaire called the Strategy Inventory for Language Learning (SILL), a background questionnaire, and then sat for the Malaysian English University Test (MUET). Selected statistical tests were used to compare models.

Item Type: Article
Uncontrolled Keywords: Variable selection, multiple regression, Language learning strategies, Akaike information criterion
Subjects: Q Science > QA Mathematics
Divisions: FACULTY > Faculty of Science and Natural Resources
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 05 Jan 2017 06:44
Last Modified: 25 Oct 2017 06:01
URI: http://eprints.ums.edu.my/id/eprint/15333

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