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

[Zeitschriftenartikel]

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... mehr

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.... weniger

Thesaurusschlagwörter
lebenslanges Lernen; Erwachsenenbildung; USA; Lernen; Bildungsmotivation; Alter; Geschlecht; Bildungsniveau; Lesen; Schreiben

Klassifikation
Bildungswesen quartärer Bereich, Berufsbildung

Freie Schlagwörter
alignment optimization; PIAAC

Sprache Dokument
Englisch

Publikationsjahr
2022

Seitenangabe
S. 1-20

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

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

ISSN
2196-0739

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.