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Everyday Digital Literacy Questionnaire for Older Adults: Instrument Development and Validation Study

Authors
 JiYeon Choi  ;  Seongmi Choi  ;  Kijun Song  ;  Jiwon Baek  ;  Heejung Kim  ;  Mona Choi  ;  Yesol Kim  ;  Sang Hui Chu  ;  Jiyoung Shin 
Citation
 JOURNAL OF MEDICAL INTERNET RESEARCH, Vol.25 : e51616, 2023-12 
Journal Title
JOURNAL OF MEDICAL INTERNET RESEARCH
ISSN
 1439-4456 
Issue Date
2023-12
MeSH
Aged ; Health Literacy* ; Humans ; Language ; Middle Aged ; Psychometrics ; Reproducibility of Results ; Research Design ; Surveys and Questionnaires ; Telemedicine*
Keywords
European Commission’s Digital Competence framework ; aging ; digital literacy ; instrument ; older adults ; psychometrics ; validation
Abstract
BACKGROUND: The need for digital literacy in aging populations is increasing in the digitalizing society. Digital literacy involves the identification, evaluation, and communication of information through various digital devices or relevant programs. OBJECTIVE: The aims of this study were to develop an Everyday Digital Literacy Questionnaire (EDLQ), a digital literacy assessment scale, and subsequently evaluate its psychometric properties using a population of community-dwelling older adults in South Korea. METHODS: The EDLQ was developed using an instrument development design. A nationwide survey was conducted, and the study included 1016 community-dwelling older adults (age ≥60 years). To evaluate the psychometric properties, the participants were randomly divided into 2 groups (n=508 each), and the internal consistency (Cronbach α and McDonald ω), structural validity (exploratory factor analysis and confirmatory factor analysis), hypothesis-testing construct validity using the eHealth Literacy Scale (eHEALS), and measurement invariance were analyzed. RESULTS: Among the initial 30 items of the EDLQ, 22 items with a 3-factor solution had a total explained variance of 77%. The domains included information and communication (9 items), content creation and management (4 items), and safety and security (9 items). Confirmatory factor analysis was conducted with this 3-factor solution (χ2206=345.1; normed χ2206=1.7; comparative fit index=0.997; Tucker-Lewis index=0.997; root-mean-square error of approximation=0.036; standardized root-mean-square residual=0.050; composite reliability=0.903-0.959; average variance extracted=0.699-0.724; R2=0.616-0.773). Hypothesis-testing construct validity with the eHEALS revealed a strong correlation (r=0.75). Cronbach α and McDonald ω coefficients were .98 and 0.98, respectively. The fit indices for measurement invariance, including the configural, metric, and scalar invariance models, demonstrated a satisfactory fit to the data. Our findings suggest that the psychometric properties of the 22-item EDLQ are valid and reliable for assessing digital literacy among older Korean adults. CONCLUSIONS: In this study, we developed a digital literacy measure with strong psychometric properties that made it suitable for assessing the digital literacy of community-dwelling older adults in Korea. To broaden its applicability, however, further assessment of its feasibility for use with different languages and cultures is necessary. Moreover, more empirical research on digital literacy and related factors in older adults can facilitate the development of personalized digital health care services and educational interventions in the digital society. ©JiYeon Choi, Seongmi Choi, Kijun Song, Jiwon Baek, Heejung Kim, Mona Choi, Yesol Kim, Sang Hui Chu, Jiyoung Shin. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 14.12.2023.
Files in This Item:
T202400274.pdf Download
DOI
10.2196/51616
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers
Yonsei Authors
Kim, Heejung(김희정) ORCID logo https://orcid.org/0000-0003-3719-0111
Song, Ki Jun(송기준) ORCID logo https://orcid.org/0000-0003-2505-4112
Shin, Jiyoung(신지영)
Choi, Mona(최모나) ORCID logo https://orcid.org/0000-0003-4694-0359
Choi, JiYeon(최지연) ORCID logo https://orcid.org/0000-0003-1947-7952
Chu, Sang Hui(추상희) ORCID logo https://orcid.org/0000-0001-6877-5599
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/197855
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