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Developing an empirical measure of everyday information mastering

Author

Listed:
  • Jannica Heinström
  • Eero Sormunen
  • Reijo Savolainen
  • Stefan Ek

Abstract

The aim of the study was to develop an empirical measure for everyday information mastering (EIM). EIM describes the ways that individuals, based on their beliefs, attitudes, and expectations, orient themselves to information as a resource of everyday action. The key features of EIM were identified by conceptual analysis focusing on three EIM frameworks. Four modes of EIM—Proactive, Social, Reactive, and Passive—and their 12 constituents were identified. A survey of 39 items was developed in two pilot studies to operationalize the identified modes as measurable EIM constituents. The respondents in the main study were upper secondary school students (n = 412). Exploratory factor analysis (EFA) was applied to validate subscales for each EIM constituent. Seven subscales emerged: Inquiring and Scanning in the Proactive mode, Social media‐centered, and Experiential in the Social mode, and Information poor, Overwhelmed, and Blunting in the Passive mode. Two constituents, Serendipitous and Intuitive, were not supported in the EFA. The findings highlight that the core constituents of an individual's everyday information mastering can be operationalized as psychometric scales. The instrument contributes to the systematic empirical study of EIM constituents and their relationships. The study further sheds light on key modes of EIM.

Suggested Citation

  • Jannica Heinström & Eero Sormunen & Reijo Savolainen & Stefan Ek, 2020. "Developing an empirical measure of everyday information mastering," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(7), pages 729-741, July.
    • Handle: RePEc:bla:jinfst:v:71:y:2020:i:7:p:729-741
    DOI: 10.1002/asi.24305
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    References listed on IDEAS

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    6. Jessa Lingel & danah boyd, 2013. "“Keep it secret, keep it safe”: Information poverty, information norms, and stigma," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(5), pages 981-991, May.
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    Cited by:

    1. Ian Ruthven, 2022. "An information behavior theory of transitions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(4), pages 579-593, April.
    2. Wonchan Choi & Min Sook Park & Yura Lee, 2022. "Associations between mastery of life and everyday life information‐seeking behavior among older adults: Analysis of the Pew Research Center's information engaged and information wary survey data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 393-406, March.

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