Skip to main content

Fabrication in a study about honesty: A lost episode of columbo illustrating how forensic statistics is performed.

Publication ,  Journal Article
Samsa, G
Published in: Account Res
October 2025

The three steps of a typical forensic statistical analysis are (1) verify that the raw data file is correct; (2) verify that the statistical analysis file derived from the raw data file is correct; and (3) verify that the statistical analyses are appropriate. We illustrate applying these three steps to a manuscript which was subsequently retracted, focusing on step 1. In the absence of an external source for comparison, criteria for assessing the raw data file were internal consistency and plausibility. A forensic statistical analysis isn't like a murder mystery, and it many circumstances discovery of a mechanism for falsification or fabrication might not be realistic.

Duke Scholars

Published In

Account Res

DOI

EISSN

1545-5815

Publication Date

October 2025

Volume

32

Issue

7

Start / End Page

1055 / 1071

Location

United States

Related Subject Headings

  • Humans
  • Forensic Sciences
  • Data Interpretation, Statistical
  • Applied Ethics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Samsa, G. (2025). Fabrication in a study about honesty: A lost episode of columbo illustrating how forensic statistics is performed. Account Res, 32(7), 1055–1071. https://doi.org/10.1080/08989621.2024.2329265
Samsa, Greg. “Fabrication in a study about honesty: A lost episode of columbo illustrating how forensic statistics is performed.Account Res 32, no. 7 (October 2025): 1055–71. https://doi.org/10.1080/08989621.2024.2329265.
Samsa, Greg. “Fabrication in a study about honesty: A lost episode of columbo illustrating how forensic statistics is performed.Account Res, vol. 32, no. 7, Oct. 2025, pp. 1055–71. Pubmed, doi:10.1080/08989621.2024.2329265.

Published In

Account Res

DOI

EISSN

1545-5815

Publication Date

October 2025

Volume

32

Issue

7

Start / End Page

1055 / 1071

Location

United States

Related Subject Headings

  • Humans
  • Forensic Sciences
  • Data Interpretation, Statistical
  • Applied Ethics