Pathways from school to work: A sequence analysis of non‐engaged youth

Author:

Ngai Steven Sek‐yum1ORCID,Cheung Chau‐kiu2ORCID,Ng Yuen‐hang1ORCID,Lee Bong Joo3ORCID,Dupéré Véronique4ORCID,Wang Miao5ORCID,Chen Chen1ORCID,Li Yunjun1ORCID,Zhou Qiushi1ORCID,Wong Laing‐ming1ORCID,Zhang Xuyang1ORCID

Affiliation:

1. Department of Social Work The Chinese University of Hong Kong Hong Kong China

2. Department of Social and Behavioral Sciences City University of Hong Kong Hong Kong China

3. Department of Social Welfare Seoul National University Seoul South Korea

4. School of Psychoeducation Université de Montréal Montreal Canada

5. Department of Social Work and Social Policy, School of Sociology Nankai University Nankai China

Abstract

AbstractIntroductionResearch on heterogeneous pathways in school‐to‐work transitions (SWT), particularly longitudinal research, has been limited, as have empirical studies examining effective interventions for facilitating multiple SWT pathways among non‐engaged youth (NEY), who are generally at risk of being not in education, employment, or training (NEET).MethodsTo develop a typology of SWT pathways, we conducted sequence analysis with longitudinal data from a sample of 630 NEY aged 14–29 (M = 19.78; 63.65% males) in Hong Kong during a 22‐month period beginning in September 2020. We also performed multinomial logistic regressions to assess the impact of career and life development (CLD) interventions on SWT outcomes.ResultsOur analysis yielded a fivefold typology of SWT pathways: the Employment/Entrepreneurship cluster (31.27%), the Vocational Education and Training cluster (13.49%), the Generic Education cluster (16.83%), the Serious Leisure Development cluster (15.24%), and the long‐term NEET cluster (23.17%). NEY in the intervention group receiving CLD services, inspired by the expanded notion of work (ENOW) and youth development and intervention framework (YDIF), demonstrated significantly higher likelihoods of being in the Employment/Entrepreneurship (OR = 34.5, 95% CI [10.53, 105.08]), Generic Education (OR = 3.74, 95% CI [1.81, 7.74]), Vocational Education and Training (OR = 1.55, 95% CI [1.05, 6.26]), and Serious Leisure Development (OR = 1.77, 95% CI [1.04, 4.46]) clusters than the long‐term NEET cluster.ConclusionsOur findings highlight the dynamic, heterogeneous nature of NEY's CLD journeys, including that CLD interventions based on ENOW–YDIF have had a beneficial effect on NEY's multiple SWT pathways.

Publisher

Wiley

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