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Record W3116902742 · doi:10.5539/ass.v17n1p98

Factors Affecting the Success in Certified Public Accountant Exam in Kuwait

2020· article· en· W3116902742 on OpenAlexvenueno aff
Nabi Al-Duwaila, Abdullah Almutairi

Bibliographic record

VenueAsian Social Science · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationPsychologyScope (computer science)Medical educationSample (material)Entrance examAccountingPopulationCurriculumMedicineBusinessManagementPedagogyComputer scienceEconomics

Abstract

fetched live from OpenAlex

The aim of the article is to assess the variables that are influenced performance on the Certified Public Accountant (CPA) exam in Kuwait. To achieve the aim of the study, structure questionnaire was improved and delivered to a sample of (150) of the study population of candidates recently licensed CPAs to find out their interpretations of the causes that influence their performance on the CPA exam, the amount of questionnaires returned and ready for analysis was (120),with a reply rate of 80%. The study showed that the success of the CPA exam in Kuwait is generally dependent on factors related to the exam itself and the candidate who is taking the exam. It reported that the most important challenges linked to the CPA exam are unlimited scope of the CPA exam followed by the exam's questions do not cover all subjects and the exam does not measure the examinee's capabilities. Moreover, the analysis showed that insufficient preparation of the exam is the main variable affecting the performance of CPA exam followed by accepting the idea of repeating the exam. Finally, the study recommends that academicians in accounting should train the students for the exam. They should pay attention to curriculum to assure that learners are provided the good training for the examination.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.282
Teacher spread0.216 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2020
Admission routes1
Has abstractyes

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