ScholarGate
Asistent

Compară metode

Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

Eșantionarea pe Atribute în Audit×Modelul Riscului de Audit×
DomeniuContabilitateContabilitate
FamilieMCDMMCDM
Anul apariției19721983
Autorul originalAmerican Institute of Certified Public Accountants (AICPA)American Institute of Certified Public Accountants (AICPA)
TipStatistical sampling technique for control testingProfessional auditing framework
Sursa seminalăAmerican Institute of Certified Public Accountants (AICPA). (2015). Audit Sampling. AU-C Section 530. AICPA Professional Standards. link ↗American Institute of Certified Public Accountants (AICPA). (2015). Audit Risk. AU-C Section 200. AICPA Professional Standards. link ↗
Denumiri alternativeStatistical Attribute Sampling, Compliance Testing, Control Testing SamplingRisk-Based Audit Planning Model
Înrudite34
RezumatAttribute sampling is a statistical sampling method used primarily in testing the operating effectiveness of internal controls. Rather than measuring the dollar impact of errors (as in substantive sampling), attribute sampling answers a yes/no question: 'Does this control exist and is it operating as designed?' By determining the sample size and evaluating test results statistically, auditors can reach defensible conclusions about control effectiveness.The Audit Risk Model is a foundational framework developed by the American Institute of Certified Public Accountants (AICPA) that structures audit planning by decomposing overall audit risk into three components: inherent risk, control risk, and detection risk. This model guides auditors in allocating resources and designing audit procedures proportionate to the level of risk in each account or assertion.
ScholarGateSet de date
  1. v1
  2. 2 Surse
  3. PUBLISHED
  1. v1
  2. 2 Surse
  3. PUBLISHED

Mergi la căutare Descarcă prezentarea

ScholarGateCompară metode: Attribute Sampling in Auditing · Audit Risk Model. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare