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I present a critique of the methods used in a typical paper. This leads tothree broad conclusions about the conventional use of statistical methods.First, results are often reported in an unnecessarily obscure manner. Second,the null hypothesis testing paradigm is deeply flawed: estimating the size ofeffects and citing confidence intervals or levels is usually better. Third,there are several issues, independent of the particular statistical conceptsemployed, which limit the value of any statistical approach: e.g. difficultiesof generalizing to different contexts, and the weakness of some research interms of the size of the effects found. The first two of these are easilyremedied: I illustrate some of the possibilities by re-analyzing the data fromthe case study article. The third means that in some contexts a statisticalapproach may not be worthwhile. My case study is a management paper, butsimilar problems arise in other social sciences. Keywords: Confidence,Hypothesis testing, Null hypothesis significance tests, Philosophy ofstatistics, Statistical methods, User-friendliness.

Making statistical methods in management research more useful: some suggestions from a case study