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Validation of a survey for measuring scientists' attitudes toward data reuse

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  • Christa E. Winkler
  • Rebecca Fay Berenbon

Abstract

This study investigated the validity of a survey measuring scientists' attitudes toward data reuse. Rasch analysis was used to examine the psychometric properties of the survey. Structural equation modeling was subsequently used to examine the validity of hypothesized relationships among the constructs measured by the survey. Overall, findings supported validity of the existing measure for use among researchers across academic disciplines. Recommendations for further refinement of the survey include the addition of new items to improve reliability of measurement. Additionally, implications for organizational practice are discussed, including the importance of fostering individual researchers' perceived usefulness of secondary data, as well as providing access to data repositories and organizational resources for data reuse.

Suggested Citation

  • Christa E. Winkler & Rebecca Fay Berenbon, 2021. "Validation of a survey for measuring scientists' attitudes toward data reuse," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 449-453, April.
    • Handle: RePEc:bla:jinfst:v:72:y:2021:i:4:p:449-453
    DOI: 10.1002/asi.24412
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    References listed on IDEAS

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    1. Youngseek Kim & Ayoung Yoon, 2017. "Scientists' data reuse behaviors: A multilevel analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2709-2719, December.
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