Comparing the Latent Structure of Digital Literacy Between the Young-Old and the Old-Old During the Pandemic: A Latent Profile and Latent Transition Analysis

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This research examines the structure and changes in digital literacy among young-old and old-old adults during the pandemic.
Conducted latent profile analysis on 2,070 older adults (age 65+) from the Korea Media Panel data for 2020 and 2022.
Applied latent transition analysis for young-old adults to explore stability and changes in digital literacy types.
Identified influential factors like education, income, and household composition affecting digital literacy types.
Young-old adults showed five types in 2020 and four types in 2022, with a notable transition from digital exclusion to mobile communication types.
Education level was the most consistent factor influencing type classification, while income and marital status varied by time and type.
Old-old adults exhibited a lack of stable latent types, indicating concentrated low levels of digital literacy.

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Compares digital literacy profiles of young-old and old-old, suggesting tailored digital inclusion policies are needed.

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Lee et al. (2026) studied this question.

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