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    Modeling Student Motivation and Students’ Ability Estimates From a Large-Scale Assessment of Mathematics

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    Modeling Student Motivation and Students’ Ability Estimates From a Large-Scale Assessment of Mathematics.pdf (275.9Kb)
    Date
    2011
    Author
    Zerpa, Carlos
    Hachey, Krystal
    Barneveld, Christina van
    Simon, Marielle
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    Abstract
    When large-scale assessments (LSA) do not hold personal stakes for students, students may not put forth their best effort. Low-effort examinee behaviors (e.g., guessing, omitting items) result in an underestimate of examinee abilities, which is a concern when using results of LSA to inform educational policy and planning. The purpose of this study was to explore the relationship between examinee motivation as defined by expectancy-value theory, student effort, and examinee mathematics abilities. A principal components analysis was used to examine the data from Grade 9 students (n = 43,562) who responded to a self-report questionnaire on their attitudes and practices related to mathematics. The results suggested a two-component model where the components were interpreted as task-values in mathematics and student effort. Next, a hierarchical linear model was implemented to examine the relationship between examinee component scores and their estimated ability on a LSA. The results of this study provide evidence that motivation, as defined by the expectancy-value theory and student effort, partially explains student ability estimates and may have implications in the information that get transferred to testing organizations, school boards, and teachers while assessing students’ Grade 9 mathematics learning.
    URI
    https://hdl.handle.net/20.500.12799/2016
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    Directiva para la Gestión del Repositorio Institucional del MINEDU

    Ministerio de Educación del Perú
    Contact Us | Send Feedback
    Indexado por: