Author List: Burton-Jones, Andrew;
MIS Quarterly, 2009, Volume 33, Issue 3, Page 445-A7.
Researchers have long known that research methods influence construct measurements and that this influence, or method bias, can lead to false conclusions. Despite much work in the methodological literature on specific aspects of method bias, such as common method bias and self-report bias, the meaning of method bias remains unclear, and there is no comprehensive approach for dealing with it. This paper offers a clear definition of method bias, proposes a more comprehensive approach for dealing with it, and describes a demonstration exercise applying the approach in an empirical study of how individual system use and task performance relate. The demonstration suggests that the approach is feasible and illustrates how it can help researchers test theories and identify new research opportunities
Keywords: MEASUREMENT; method variance
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#86 0.221 methods information systems approach using method requirements used use developed effective develop determining research determine assessment useful series critical existing
#110 0.216 theory theories theoretical paper new understanding work practical explain empirical contribution phenomenon literature second implications different building based insights need
#183 0.193 explanations explanation bias use kbs biases facilities cognitive making judgment decisions likely decision important prior judgments feedback types difficult lead
#124 0.110 validity reliability measure constructs construct study research measures used scale development nomological scales instrument measurement researchers developed validation discriminant results
#289 0.108 qualitative methods quantitative approaches approach selection analysis criteria used mixed methodological aspects recent selecting combining known conclusions included article appropriateness