Systematic review of protective factors related to academic resilience in children and adolescents: unpacking the interplay of operationalization, data, and research method.

academic resilience disadvantaged students large-scale assessment operationalization protective factors

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2024
Historique:
received: 23 03 2024
accepted: 07 08 2024
medline: 5 9 2024
pubmed: 5 9 2024
entrez: 5 9 2024
Statut: epublish

Résumé

Identifying protective factors that promote academic resilience is vital. Nevertheless, due to the variations in the operationalizations of academic resilience, timeframes, data sources, and employed research methods, it remains unclear whether the impact of protective factors identified across studies can be attributed to the factors themselves or to these variations. By addressing these uncertainties, this study aims to provide an overview of the protective factors that have been extensively investigated in academic resilience and their degree of influence. A literature search found 119 empirical studies on protective factors in education settings for children and adolescents. The review analyzed five protective factors groups (individual, family, school, peer, community), three operationalizations of academic resilience (simultaneous, progressive, instrumental), two timeframes (longitudinal, non-longitudinal), three data sources (self-collected, national/local assessments, international large-scale assessments), and commonly employed research methods. The studies analyzed in this review yielded mixed results regarding the impact of the examined protective factors, with measurement instruments and statistical power playing a significant role in explaining the variations. Individual and school-level characteristics emerged as the most well-studied protective factors; individual characteristics were often investigated through "instrumental" operationalization and structural equational models, whereas school-level characteristics were typically explored through "simultaneous" or "progressive" operationalizations and multilevel modeling. Approximately 31 and 16% of the studies utilized national assessments and international large-scale assessment data, respectively. Both data sources promoted the exploration of school-level factors, with the former facilitating the exploration of protective factors across time and the latter contributing to the investigation of teaching-related factors.

Identifiants

pubmed: 39233882
doi: 10.3389/fpsyg.2024.1405786
pmc: PMC11371752
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Pagination

1405786

Informations de copyright

Copyright © 2024 Ye, Teig and Blömeke.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Wangqiong Ye (W)

Faculty of Educational Sciences, Centre for Educational Measurement, University of Oslo, Oslo, Norway.

Nani Teig (N)

Department of Teacher Education and School Research, Faculty of Educational Sciences, University of Oslo, Oslo, Norway.

Sigrid Blömeke (S)

Faculty of Educational Sciences, Centre for Educational Measurement, University of Oslo, Oslo, Norway.

Classifications MeSH