IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v73y2022i3p393-406.html
   My bibliography  Save this article

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

Author

Listed:
  • Wonchan Choi
  • Min Sook Park
  • Yura Lee

Abstract

Given the aging world, it is important to understand older adults' everyday life information seeking (ELIS), which plays a vital role in healthy aging in later life. The present study analyzed national survey data collected by the Pew Research Center in 2016 based on Savolainen's ELIS model. The model's core concept, mastery of life, was measured in terms of general coping style to find information (cognitive vs. affective) and expectations about the findability of necessary information (optimistic vs. pessimistic). Weighted multiregression analyses were conducted to examine the associations between mastery of life and ELIS behavior of older Americans (65 years or older) in terms of breath and depth of interest in everyday topics, holding other sociocultural and demographic factors constant. The results showed a cognitive, as opposed to affective, coping style was associated with a wider range of ELIS topics and a deeper level of interest in political and cultural topics. However, whether an individual had an optimistic or pessimistic perspective toward information seeking was not associated with the variety or depth of interest in everyday topics. Neither dimension was related to the depth of interest in sports topics. Practical, theoretical, and methodological implications of the findings are provided.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jinfst:v:73:y:2022:i:3:p:393-406
    DOI: 10.1002/asi.24556
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.24556
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.24556?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ioannis Arapakis & Mounia Lalmas & B. Barla Cambazoglu & Mari-Carmen Marcos & Joemon M. Jose, 2014. "User engagement in online News: Under the scope of sentiment, interest, affect, and gaze," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(10), pages 1988-2005, October.
    2. 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.
    3. Amanda Spink & Charles Cole, 2006. "Human information behavior: Integrating diverse approaches and information use," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(1), pages 25-35, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fereshteh Ghahramani & Jingguo Wang, 2020. "Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective," Information Systems Frontiers, Springer, vol. 22(6), pages 1275-1290, December.
    2. Natalie Pang & Stan Karanasios & Misita Anwar, 2020. "Exploring the Information Worlds of Older Persons During Disasters," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(6), pages 619-631, June.
    3. Nripesh Trivedi & Daniel Adomako Asamoah & Derek Doran, 2018. "Keep the conversations going: engagement-based customer segmentation on online social service platforms," Information Systems Frontiers, Springer, vol. 20(2), pages 239-257, April.
    4. Isto Huvila, 2020. "Use-Oriented Information and Knowledge Management: Information Production and Use Practices as an Element of the Value and Impact of Information," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-25, January.
    5. Xiaoguang Wang & Qingyu Duan & Mengli Liang, 2021. "Understanding the process of data reuse: An extensive review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(9), pages 1161-1182, September.
    6. Heather L. O'Brien, 2017. "Antecedents and learning outcomes of online news engagement," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2809-2820, December.
    7. Nripesh Trivedi & Daniel Adomako Asamoah & Derek Doran, 0. "Keep the conversations going: engagement-based customer segmentation on online social service platforms," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    8. 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.
    9. Georgiou, Andrew & Makri, Stephann, 2015. "How local government policy workers use information: An interview study and design recommendations," International Journal of Information Management, Elsevier, vol. 35(4), pages 472-489.
    10. Fereshteh Ghahramani & Jingguo Wang, 0. "Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective," Information Systems Frontiers, Springer, vol. 0, pages 1-16.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:73:y:2022:i:3:p:393-406. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.