Evidence map›Paper›PMID 42079850›Full record

ArticleGlobal health & medicine2026

Cross-cultural adaptation and validation of the Internet Skills Scale in a Chinese older adult population.

Yutong Hou, Pingping Zhang, Siwen Zhang, Liang Zhou, Tao Wu

Abstract read
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Article in Global health & medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yutong HouGraduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Pingping ZhangGraduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Siwen ZhangSchool of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China.
Liang ZhouCollaborative Research Center, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Tao WuGraduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study translated and back-translated the English version of the Internet Skills Scale (ISS) based on the Brislin translation model to develop a Chinese version of the scale. From June to December 2024, 260 older adults were recruited from the community to participate in the survey to evaluate the scale's reliability and validity. A total of 233 valid questionnaires were collected, yielding an effective response rate of 89.6%. Among the respondents, there were 121 males (52%) and 112 females (48%), with ages ranging from 60 to 90 years. The results showed that the Chinese version of the ISS consisted of four dimensions and 20 items. The Cronbach's αcoefficient for the total scale was 0.862, and the Cronbach's αcoefficients for the dimensions ranged from 0.705 to 0.912. Exploratory factor analysis (EFA) extracted four common factors, with a cumulative variance contribution rate of 68.533%. Confirmatory factor analysis (CFA) indicated a good model fit: χ²/df = 2.26, CFI = 0.978, IFI = 0.979, TLI = 0.974, GFI = 0.991, RMSEA = 0.074. For convergent validity, the composite reliability (CR) values were 0.932, 0.853, 0.795, and 0.88, respectively, and the average variance extracted (AVE) values were 0.734, 0.596, 0.511, and 0.616, respectively. These findings indicate that the scale demonstrates reliability and validity, making it an effective tool for assessing the digital competence of older adults.

Indexed as

digital competenceolder adultsreliabilityvalidity

Identifiers

PMID42079850
PMCPMC13132673

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