What question did this study set out to answer?

To explore a framework for aggregating audit evidence based on probability theory to assess financial statement fairness.

Aggregation of Evidence in Auditing: A Likelihood Perspective.

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Randomized trial evaluates aggregation of audit evidence to assess financial statement fairness, suggesting improved accuracy.

To explore a framework for aggregating audit evidence based on probability theory to assess financial statement fairness.
Derived general expressions for aggregating evidence from individual and clusters of variables.
Analyzed dependencies encountered in the auditing process.
Demonstrated practical applications using real audit scenarios.
Established a framework for combining evidence that enhances the accuracy of financial statement evaluations.
Identified various types of dependencies influencing audit evidence interpretation.
Provided a basis for future research on limitations and improvements in auditing practices.

Dutta et al. (1993) studied this question.

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View Full Paper

Ask AI

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Authors

Randomized trial evaluates aggregation of audit evidence to assess financial statement fairness, suggesting improved accuracy.

To explore a framework for aggregating audit evidence based on probability theory to assess financial statement fairness.
Derived general expressions for aggregating evidence from individual and clusters of variables.
Analyzed dependencies encountered in the auditing process.
Demonstrated practical applications using real audit scenarios.
Established a framework for combining evidence that enhances the accuracy of financial statement evaluations.
Identified various types of dependencies influencing audit evidence interpretation.
Provided a basis for future research on limitations and improvements in auditing practices.

Dutta et al. (1993) studied this question.

View Full Paper

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Bookmark