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    Motivation to learn by age, education, and literacy skills among working-age adults in the United States

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    Author
    Yamashita, Takashi
    Smith, Thomas J.
    Sahoo, Shalini
    Cummins, Phyllis A.
    Date
    2022-12-01
    Journal
    Large-Scale Assessments in Education
    Publisher
    Springer Nature
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1186/s40536-022-00119-7
    Abstract
    This study highlighted how particular intersections of personal characteristics were related to Motivation to Learn (MtL) among adults. MtL is a prerequisite for adult education and training participation. However, little is known about MtL across subpopulations due to several methodological limitations. This study developed a national profile of MtL by key subpopulations that are defined by combinations of age, gender, education level, and literacy proficiency in the United States. Data were obtained from 2012/2014/2017 Program for International Assessment of Adult Competencies (PIAAC) restricted use file (N = 8400). The alignment optimization (AO) method was employed to estimate subpopulation means of a PIAAC-based latent MtL construct. Subpopulations with younger age, greater educational attainment, and higher literacy proficiency showed significantly greater MtL. © 2022, The Author(s).
    Sponsors
    U.S. Department of Education
    Keyword
    Adult education
    Alignment optimization
    Lifelong learning
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/18286
    ae974a485f413a2113503eed53cd6c53
    10.1186/s40536-022-00119-7
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