The effect of religiosity–morality interaction on auditor independence in Egypt
Bibliographic record
Abstract
Purpose This paper aims to examine the effect of religiosity on the degree of auditor independence given the significance of symbolic gestures constructed by client economic conditions in different situations before and after considering the degree of auditors’ moral development. Design/methodology/approach The paper uses an experimental design based on running mixed factorial analysis of variance (SPANOVA) using mainly repeated measures GLM to test the interaction effects between (and within) variables on auditor independence. Findings The main findings indicate that there is a significant interactional effect between the degree of moral development and intrinsic religiosity on the degree of auditor independence, given the stimulating effect of the client’s economic gestures/conditions. Practical implications The Egyptian economy is growing and ensuring that auditor independence is paramount to sustaining the local, as well as foreign investors’ interest. Hence, this study is very important in highlighting factors that might lead to some impairment of auditors’ independence. Originality/value To the best of the authors’ knowledge, this study is the first to test the interactional effect between the religious orientation rather than religious affiliation and moral development on the degree of auditor independence, such a relationship has not been tested before in the literature. Additionally and most importantly, it uses statistical measurement through its experimental design, as there is a lack of studies in terms of auditor independence in Egypt. The existing literature follows the perceptional assessment rather than the real measurement of the degree of auditor independence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".