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EMF Study
(Database last updated on Oct 14, 2021)

ID Number 2445
Study Type Human / Provocation
Model Examination of the extent of self-report bias in mobile acceptance and usage studies and suggestion of counter-measures.
Details

AUTHORS' ABSTRACT: de Reuver and Bouwman 2014 (IEEE #5866): 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 counter-measures. 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.

Findings Not Applicable to Bioeffects
Status Completed With Publication
Principal Investigator Delft U of Technology, The Netherlands
Funding Agency ?????
Country NETHERLANDS
References
  • de Reuver, M et al. Information & Management., (2015) 52:287-294
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