Important Issues in Statistical Testing and Recommended Improvements in Accounting Research
Year: 2019
Type: article
Abstract: A 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 “data carpentry,” (2) limitations and alternatives to winsorizing, (3) necessary improvements to relying on a study’s calculated “p-values” 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.
Source: Econometrics
Authors: Thomas R. Dyckman, Stephen A. Zeff
Institutions: Cornell University, Rice University
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,013
OpenAlex ID: W2944337196