This article investigates the quality of social scientific listening research that reports numerical data to substantiate claims appearing in the International Journal of Listening between 1987 and 2011. Of the 225 published articles, 100 included one or more studies reporting numerical data. We frame our results in terms of eight recommendations to improve future listening scholarship. In particular, the results suggest needed variation in demographics and added attention to psychometric properties of scores. Standards for reporting and inspecting data should also be followed with more regularity, and tests of statistical assumptions along with information about missing data are urged. Effect sizes are rarely included in results, and no studies reported confidence intervals, suggesting overreliance on null hypothesis statistical testing when drawing implications for practice. Lastly, there were some noteworthy misappropriations of statistical techniques that are discussed.
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Keaton et al. (2013) studied this question.
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