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

[journal article]

Yamashita, Takashi
Smith, Thomas J.
Sahoo, Shalini
Cummins, Phyllis A.

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 limitat... view more

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.... view less

Keywords
lifelong learning; adult education; United States of America; learning; educational motivation; old age; gender; level of education; reading; writing

Classification
Vocational Training, Adult Education

Free Keywords
alignment optimization; PIAAC

Document language
English

Publication Year
2022

Page/Pages
p. 1-20

Journal
Large-scale Assessments in Education, 10 (2022)

DOI
https://doi.org/10.1186/s40536-022-00119-7

ISSN
2196-0739

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.