Ten Pitfalls of Research Practices in Management Science

Abstract

This essay-like text discusses 10 pitfalls in the analysis of data in management science: (1) Too small a number of experimental studies; (2) Ignoring the specifics of the research object; (3) Lack of standard operationalizations; (4) Weakness of measurement ; (5) Weakness of data analyses; (6) Too high a level of generality of theory and too few replications; (7) Misinterpretation of the outcomes of statistical analyses; (8) Reviewers’ expectation regarding the samples and hypotheses testing; (9) Missing “time” in the list of predictors; (10) Wrong standards of publication. Most of these risks apply also to psychological and sociological research.

Keywords

• research practices
• research pitfalls
• data analysis
• management science