PropertyValue
?:about
?: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. (xsd:string)
?:contributor
?:dateModified
  • 2022 (xsd:gyear)
?:datePublished
  • 2022 (xsd:gyear)
?:doi
  • 10.1080/0144929X.2022.2151937 ()
?:duplicate
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:inLanguage
  • en (xsd:string)
?:isPartOf
?:issn
  • 1362-3001 ()
?:issueNumber
  • Latest Articles (xsd:string)
?:linksDOI
?:linksURN
is ?:mainEntity of
?:name
  • Uncovering latent profiles of ICT self-concept among adults in Germany and their relation with gender (xsd:string)
?:provider
?:publicationType
  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
?:sourceInfo
  • GESIS-SSOAR (xsd:string)
  • In: Behaviour & Information Technology, 2022, Latest Articles, 1-17 (xsd:string)
rdf:type
?:url
?:urn
  • urn:nbn:de:0168-ssoar-86948-4 ()