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Autor/inn/enKrötz, Maximilian; Deutscher, Viola
TitelDrop-Out in Dual VET: Why We Should Consider the Drop-Out Direction When Analysing Drop-Out
QuelleIn: Empirical Research in Vocational Education and Training, 14 (2022), Artikel 1 (26 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Krötz, Maximilian)
ORCID (Deutscher, Viola)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1877-6345
DOI10.1186/s40461-021-00127-x
SchlagwörterDropouts; Vocational Education; Intention; Dropout Research; Multiple Regression Analysis; Student Motivation; Dropout Characteristics
AbstractDespite high drop-out rates from vocational education and training (VET) throughout most countries and a long research tradition on potential drop-out reasons, little is known about the effects exerted on drop-out intentions by the quality of training. Furthermore, only rarely do scholars distinguish between different drop-out directions, and systematic insights on possibly differing causes are scarce. This study explores the factors influencing four directions of drop-out intention ('upwards', 'downwards', 'company change', 'occupation change'). Linear regression modelling is used to analyse survey data on the motivation, socio-demographic aspects and competency of 562 trainees as industrial management assistants in Germany and on how they perceived the training quality. The results show that different directions of drop-out intention stem from various factors, with training quality in general having the largest effect. Additionally, the findings indicate a two-tier-scheme of influence factors, 'core' and 'direction-typical' factors. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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