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Record W2082047280 · doi:10.1080/09638180701819832

Meta-analysis and the Accounting Literature: The Case of Audit Committee Independence and Financial Reporting Quality

2008· article· en· W2082047280 on OpenAlex
Bradley Pomeroy, Daniel B. Thornton

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Accounting Review · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsQueen's UniversityUniversity of WaterlooUniversity of Alberta
Fundersnot available
KeywordsAccountingFinancial statementAuditAccrualQuality auditBusinessAuditor independenceAudit evidenceQuality (philosophy)Independence (probability theory)Actuarial scienceJoint auditInternal auditEarningsStatistics

Abstract

fetched live from OpenAlex

We conduct a meta-analysis (MA) of the association between audit committee (AC) independence and financial reporting quality (FRQ). Although we cannot reliably aggregate results across studies in a statistical sense because of inconsistencies in defining FRQ and the absence of replication studies, quantitative review techniques yield three conclusions: (1) The use of different FRQ measures in the AC independence literature explains about half of the variation in results across studies. (2) Audit committees are more effective at enhancing audit quality (e.g. through averting going-concern reports and auditor resignations) than they are at fostering financial statement quality (e.g. by making high quality accruals and avoiding restatements). AC independence can even reduce apparent financial statement quality by identifying the need for restatements and remedial, abnormal accruals. (3) Financial statement quality and audit quality are complementary contributors to FRQ. The statistical and methodological difficulties we encounter lead us to posit that the dearth of MA studies in accounting and auditing stems from similar difficulties in applying MA to other topics. We present evidence consistent with publication biases and perverse researcher incentives being responsible for the difficulties.

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.

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)0.020
metaresearch head score (Gemma)0.045
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.277
Teacher spread0.223 · 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