Evidence map›Paper›PMID 36011916›Full record

ArticleInternational journal of environmental research and public health2022

Development and Validation of the Career and Life Development Hope (CLDH) Scale among Non-Engaged Youth in Hong Kong.

Steven Sek-Yum Ngai, Chau-Kiu Cheung, Lin Wang, Yunjun Li, Yuen-Hang Ng, Elly Nga-Hin Yu, Winnie Pui-Ching Leung

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Steven Sek-Yum NgaiDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-0988-9251
Chau-Kiu CheungDepartment of Social and Behavioral Sciences, City University of Hong Kong, Hong Kong, China.ORCID 0000-0003-3278-1633
Lin WangDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong, China.
Yunjun LiDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-5437-1427
Yuen-Hang NgDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong, China.
Elly Nga-Hin YuDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-2880-679X
Winnie Pui-Ching LeungDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing career and life development hope (CLDH) is critical for the career and life pursuits of non-engaged youths (NEY) who face various disadvantages in the school-to-work transition, especially considering current challenging labor market conditions and the impacts of the pandemic. Nevertheless, research that explores the assessment of CLDH among NEY is scarce. To address this gap, this study aimed to develop and validate a CLDH measurement instrument. A total of 1998 NEY aged 13-29 years in Hong Kong participated in our study. Exploratory factor analysis of the 20-item CLDH scale suggested a two-factor structure-career and life development pathways (CLDP) and career and life development agency (CLDA)-which accounted for 63.08% of the total variance. The confirmatory factor analysis results show a good model fit (CFI = 0.934, TLI = 0.926, RMSEA = 0.060, 90% CI [0.055, 0.065], SRMR = 0.042) and all the items significantly represented the corresponding sub-constructs. The results also demonstrate a satisfactory internal consistency for all subscales and the full scale (0.89-0.95). Sub-group consistency across subsamples categorized by gender, age, and years of residence in Hong Kong was indicated. Correlations between the CLDH scale and subscales with other career-related and social well-being outcomes (i.e., youth career development competency, career adaptability, civic engagement, social contribution, and social integration) showed good concurrent validity. Our results support that the CLDH scale is a valid and reliable tool for measuring NEY's hope for career and life development in the Hong Kong context. Theoretical and practical implications of the findings are also discussed.

Indexed as

PsychometricsAdolescentFactor Analysis, StatisticalHong KongHumansReproducibility of ResultsSurveys and Questionnairescareer and life development hopecareer interventionnon-engaged youthscale validationschool-to-work transition

Identifiers

PMID36011916
PMCPMC9408436

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.