Dealing with self-report bias in mobile Internet acceptance and usage studies

de Reuver M, Willem Adriaan Bouwman

    Research output: Contribution to journalArticleScientificpeer-review

    33 Citations (Scopus)

    Abstract

    Self-report bias is a known validity threat to IS usage studies. Respondents may find it even more difficult to assess their actual usage of mobile services as these can be used in highly variable contexts. This paper examines the extent of self-report bias in mobile acceptance and usage studies and suggests countermeasures. We demonstrate that several Type-1 and Type-2 errors are made when relying on self-reports rather than log data. Weighing can partly mitigate self-report bias as older people are more accurate than younger people. Log data replace self-reports in order to reduce self-report bias in mobile acceptance studies.
    Original languageUndefined/Unknown
    Pages (from-to)287–294
    Number of pages8
    JournalInformation & management
    Volume52
    Issue number3
    DOIs
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed

    Keywords

    • Acceptance
    • Method bias
    • Mobile applications
    • Self-report bias
    • Usage

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