Is There a Confidence Interval for That? A Critical Examination of Null Outcome Reporting in Accounting Research

Author:

Cready William M.1ORCID,He Jiapeng1,Lin Wenwei2,Shao Chengdao3,Wang Di4ORCID,Zhang Yang1

Affiliation:

1. The University of Texas at Dallas

2. University of Minnesota, Twin Cities

3. Huawei Device Co. Ltd.Xiamen University

4. Postal Savings Bank of China

Abstract

ABSTRACT This study evaluates how accounting researchers analyze and report null outcomes based on an examination of recent accounting research publications. As null outcomes fail to provide compelling evidence against a proposed null hypothesis, in and of themselves, they have little inferential value. Nevertheless, we find that articles routinely interpret such outcomes in a highly conclusive manner, using terms such as did not, is no difference, find no effect, equals, no association, etc. We also find little evidence that articles subject the available evidence to further statistical examinations that might provide relevant insights about the studied phenomenon. The analysis also illustrates the use of confidence intervals as a useful approach for providing insights about the inconsequentiality and precision of null outcomes. JEL Classifications: B41; M40.

Publisher

American Accounting Association

Subject

Organizational Behavior and Human Resource Management,Accounting

Reference83 articles.

1. Aberson, C. 2002. Interpreting null results: Improving presentation and conclusions with confidence intervals. Journal of Articles in Support of the Null Hypothesis1 ( 3): 36– 42.

2. Altman, D. G., and BlandJ. M. 1995. Absence of evidence is not evidence of absence. British Medical Journal311 ( 7003): 485. https://doi.org/10.1136/bmj.328.7438.476

3. American Accounting Association (AAA). 2017. Longstanding mandate on corporate audit committees yields no benefit for investors, new research finds (November 1). Available at:https://aaahq.org/Outreach/Newsroom/Press-Releases/11-1-17-Longstanding-Mandate

4. American Psychological Association (APA). 2013. Publication Manual of the American Psychological Association. 6th Edition. Washington, DC: APA.

5. Amrhein, A., Greenland S., and McShaneB. 2019 a. Scientists rise up against statistical significance. Nature567 ( 7748): 305– 307. https://doi.org/10.1038/d41586-019-00857-9

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