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

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.

Authors

Institutions

Publication Details

Journal
Global Health & Medicine
Published
2026-04-21
DOI
https://doi.org/10.35772/ghm.2026.01023
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Siwen Zhang, Tao Wu, Pingping Zhang, Yutong Hou et al.
Global Health & Medicine
Technology Use by Older Adults
article

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

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

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.

Global Health & MedicineVol. 8(2)
Shanghai Polytechnic University (CN), Shanghai University of Traditional Chinese Medicine (CN), Shanghai University of Medicine and Health Sciences (CN)
Natural Science Foundation of Shanghai, Shanghai Municipal Health Commission, Science and Technology Commission of Shanghai Municipality
Quality Education
Openalex Percentile: Top 16%
Technology Use by Older Adults
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.