TREE (Transitions from Education to Employment): A Swiss Multi-Cohort Survey

Gomensoro, Andrés; Meyer, Thomas (2017). TREE (Transitions from Education to Employment): A Swiss Multi-Cohort Survey. Longitudinal and life course studies, 8(2), pp. 209-224. Longview 10.14301/llcs.v8i2.424

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TREE (Transitions from Education to Employment) is a Swiss nationwide longitudinal study that follows two cohorts of compulsory school leavers throughout their transitions from education to employment and middle adulthood. To date, the first cohort survey (initial N=6,343) based on the Swiss PISA 2000 sample has covered a 14-year period from age 15 to 29 (nine follow-up surveys). The second cohort survey started in 2016 (with one follow-up survey in spring 2017 so far; initial N=9,762) and is based on a large national representative sample of students (N=22,378) who sat a mathematics test at the end of the ninth grade (approximately 15 years old). TREE is designed to provide comprehensive data for the analysis of post-compulsory education, employment and other pathways (e.g. family and household situation, income/financial situation, critical life events, social integration and participation, psycho-social personal characteristics, health and wellbeing). As a social science infrastructure project of national and international importance, its data is freely available to the scientific community at large. This paper provides an overview of the TREE study with a specific focus on the latest data release (September 2016) for the first TREE cohort.

Item Type:

Journal Article (Original Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Sociology

UniBE Contributor:

Gomensoro, Andrés, Meyer, Thomas (A)

Subjects:

300 Social sciences, sociology & anthropology

ISSN:

1757-9597

Publisher:

Longview

Projects:

[1036] Transitions from Education to Employment (TREE) Official URL

Language:

English

Submitter:

Thomas Meyer

Date Deposited:

14 May 2018 10:45

Last Modified:

29 Mar 2023 23:35

Publisher DOI:

10.14301/llcs.v8i2.424

BORIS DOI:

10.7892/boris.112563

URI:

https://boris.unibe.ch/id/eprint/112563

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