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Record W2978760545 · doi:10.1111/1911-3846.12568

Intuition versus Analytical Thinking and Impairment Testing

2019· article· en· W2978760545 on OpenAlexvenueno aff
Christopher J. Wolfe, Brant E. Christensen, Scott D. Vandervelde

Bibliographic record

VenueContemporary Accounting Research · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsnot available
Fundersnot available
KeywordsIntuitionAuditPsychologySkepticismCognitive psychologyEpistemologyAccountingPhilosophyEconomicsCognitive science

Abstract

fetched live from OpenAlex

ABSTRACT We examine the use of intuition versus analytical thinking in auditor risk assessment using a task that requires auditors to assess a group of impairment indicators. We expect that auditor intuition, rooted in the subconscious, more likely reacts to impairment indicator risk than does auditor analytical thinking. Results from two different experiments support this expectation for less‐experienced audit seniors. These seniors are more likely to assess step‐zero impairment indicators as signaling potential impairment when prompted to think intuitively versus analytically . In contrast, a third experiment finds that experienced seniors are more likely to assess step‐zero impairment indicators as signaling potential impairment when prompted to think analytically versus intuitively . This is consistent with the more experienced but still non‐expert seniors possessing developed analytical thinking, but struggling to effectively use their intuition. Our results inform theory by suggesting under what conditions auditor intuition and analytical thinking produce differential risk sensitivity. Furthermore, our results inform practice, given regulators' stated focus on auditor skepticism and impairment assessments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.413
GPT teacher head0.492
Teacher spread0.078 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2019
Admission routes1
Has abstractyes

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