Uncovering latent profiles of ICT self-concept among adults in Germany and their relation with gender

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Abstract

Self-concept related to the use of information and communication technology (ICT-SC) is reflected in how people feel and behave when confronted with digital technologies. Although evidence from variable-centered analyses suggests a hierarchical and multidimensional structure of ICT-SC in heterogeneous populations, it is not yet known whether different profiles of general ICT-SC and specific ICT-SC domains (communicate, process and store, generate content, safe application, solve problems) exist. This study aims to extend previous research using person-centered analyses and to examine whether different profiles of ICT-SC can be identified in a heterogeneous adult population (18–69 years) from Germany and how these profiles relate to gender. Results of a latent profile analysis (German quota sample, N = 369) indicate a reliable three-profile solution. Profile I (n = 48) is characterised by rather low ICT-SC with relative profile strengths in the verbal-interactive domains (communicate, process and store). Profile II (n = 149) is characterised by low to average ICT-SC across ICT-SC domains. Profile III (n = 172) is characterised by high ICT-SC with profile strengths in the technical-analytical domains (safe application, solve problems). Gender did not correlate significantly with profile membership. We discuss the practical implications of the results for ICT-SC interventions and suggest directions for future research.

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Schmidt, I., Schauffel, N., & Ellwart, T. (2024). Uncovering latent profiles of ICT self-concept among adults in Germany and their relation with gender. Behaviour and Information Technology, 43(1), 4–20. https://doi.org/10.1080/0144929X.2022.2151937

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