Artikel
Modeling Determinants of Lifelong Learning According to the Theory of Planned Behavior: A Proxy-Based Approach Using PIAAC Data
Partsch, M. V. & Landberg, M. (2023). Modeling Determinants of Lifelong Learning According to the Theory of Planned Behavior: A Proxy-Based Approach Using PIAAC Data, Adult Education Quarterly, 2023.DOI: 10.1177/07417136231208951
Abstract
In today’s world, lifelong learning (LLL) is a key element of individual and societal suc-
cess. However, despite knowing potential determinants of LLL, we do not yet under-
stand how they interact to facilitate LLL. Therefore, the present study aims to verify
the usefulness of the Theory of Planned Behavior (TPB) in predicting LLL. We applied
a survey data-based approach by building proxies of TPB components for LLL based
on the German PIAAC dataset. Our TPB-based path models explained both partici-
pation in non-formal LLL and engagement in informal LLL in a large heterogeneous
sample of the German working population, also when controlling for in uential
socio-demographic determinants of LLL. Thereby, our results provide rst evidence
that TPB lends itself as core of a LLL process model that can serve as a basis to inte-
grate further well-studied determinants of LLL participation and then can be tested in
longitudinal multi-level studies.
Sprache: Englisch
Art der Begutachtung: Peer Review(Keine Angabe)
Print: Nein
Online: Ja, mit Open Access und CC-Lizenz
Datenmedium: Nein
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