A signal detection theory approach to analyzing the efficiency and effectiveness of auditing to detect management fraud

Abstract

The purpose of this paper is to apply signal detection theory (SDT) to the problem of detecting management fraud. The use of SDT methodology significantly strengthens understanding of the relationships among audit technology, base rates of management fraud, costs of Type I and Type II errors, extensions of audit procedures, and risk assessments prior and during the audit. The analysis suggests that the auditor must accept disproportionate false alarm rates in order to maintain audit effectiveness in the presence of management fraud. This condition becomes even stronger as the costs of Type II errors increase compared to costs of Type I errors. The study also provides policy implications for auditor practice and standard‐setters.