Dyckman, Thomas R.Zeff, Stephen A.2021-10-062021-10-062019Dyckman, Thomas R. and Zeff, Stephen A.. "Important Issues in Statistical Testing and Recommended Improvements in Accounting Research." <i>Econometrics,</i> 7, no. 2 (2019) MDPI: https://doi.org/10.3390/econometrics7020018.https://hdl.handle.net/1911/111480A great deal of the accounting research published in recent years has involved statistical tests. Our paper proposes improvements to both the quality and execution of such research. We address the following limitations in current research that appear to us to be ignored or used inappropriately: (1) unaddressed situational effects resulting from model limitations and what has been referred to as &ldquo;data carpentry,&rdquo; (2) limitations and alternatives to winsorizing, (3) necessary improvements to relying on a study&rsquo;s calculated &ldquo;p-values&rdquo; instead of on the economic or behavioral importance of the results, and (4) the information loss incurred by under-valuing what can and cannot be learned from replications.engThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly citedJournal articleeconometrics-07-00018-v2https://doi.org/10.3390/econometrics7020018