Evidence map›Paper›PMID 41291973›Full record

ArticleBMC psychology2025

Development and validation of digital resilience scale for primary and secondary school students.

Qianqian Pan, Min Lan, Cheng Yong Tan, Sisi Tao, Qianru Liang, Nancy Law

Abstract readValidation Study
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qianqian PanCentre for Research in Pedagogy and Practice, National Institute of Education, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0002-8675-0165
Min LanZhejiang Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China. lanmin@zjnu.edu.cn.ORCID http://orcid.org/0000-0003-3632-2389
Cheng Yong TanFaculty of Education, The University of Hong Kong, Pokfulam, Hong Kong, China. tancy@hku.hk.ORCID http://orcid.org/0000-0001-6918-8425
Sisi TaoDepartment of Early Childhood Education, The Education University of Hong Kong, Ting Kok, Hong Kong, China.ORCID http://orcid.org/0000-0001-5953-4531
Qianru LiangGuangdong Institute of Smart Education, Jinan University, Guangzhou, China.ORCID http://orcid.org/0000-0001-7558-0431
Nancy LawFaculty of Education, The University of Hong Kong, Pokfulam, Hong Kong, China.ORCID http://orcid.org/0000-0003-3044-0528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith increasing digital engagement, children and adolescents face both opportunities and risks online. While exposure to online risks does not always lead to harm, digital resilience (DR)-the ability to cope with and recover from negative online experiences-mitigates potential adverse effects. Despite its importance, validated tools to assess DR in young populations are scarce. We developed and validated a multidimensional Digital Resilience Scale that assesses coping strategies, bouncing back, and personal growth following online risk exposure.

methodsGuided by the UK Council for Internet Safety (UKCIS) Digital Resilience Framework (DRF), we validated the scale with 2,014 primary and 6,014 secondary school students in Hong Kong. The instrument comprises two subscales: (1) Coping Strategies (productive coping, reference to others, non-productive coping) across three common online risks (unwanted messages, personal-information leakage, cyberbullying); and (2) Recovery (bouncing back, growth). We conducted confirmatory factor analyses (CFAs), tested measurement invariance across gender and school level, and examined external validity with digital literacy (DL) and well-being.

resultsCFAs supported a five-factor structure (three coping factors, bouncing back, growth) with good fit (CFI = 0.967-1; RMSEA = 0.00 - 0.046). Subscales showed high reliability (ω = 0.764 - 0.910). Measurement invariance across gender and school level was supported. DR correlated positively with DL (r = 0.036 - 0.254) and well-being (r = 0.042 - 0.659), supporting external validity.

conclusionsThe Digital Resilience Scale provides a reliable, multidimensional measure of students' capacity to navigate and recover from online risks. It offers a practical tool for educators, researchers, and policymakers to assess DR and inform targeted interventions. Future research should evaluate cross-cultural generalizability and longitudinal sensitivity.

Indexed as

Adaptation, PsychologicalInternetResilience, PsychologicalStudentsAdolescentChildCyberbullyingFactor Analysis, StatisticalFemaleHong KongHumansMalePsychometricsReproducibility of ResultsSchoolsSurveys and QuestionnairesDigital resilienceMeasurement invariancePrimary school studentsScale developmentSecondary school studentsValidation

Identifiers

PMID41291973
PMCPMC12750681

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.