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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