Development and validity of the Ethical Leadership Questionnaire
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.
Bibliographic record
Abstract
Purpose – This study had five objectives: explain the initial steps that led to the construction of the Ethical Leadership Questionnaire (ELQ); analyze the items and verify the ELQ reliability using item response theory (IRT); examine its factorial structure with a confirmatory factor analysis (CFA) and an exploratory structural equation modeling (ESEM) approach; test the item bias of the ELQ; assess the relation between the ELQ dimensions and ethical sensitivity. The paper aims to discuss these issues. Design/methodology/approach – Study 1 and Study 2 involved 200 and 668 respondents, respectively. Step 1 consisted in IRT; Step 2 in CFA and ESEM analysis; Step 3 in invariance of the ELQ items across gender, and Step 4 in structural equation modeling. Findings – Results indicated the presence of the three types of ethic in the resolution of moral dilemmas, validating Starratt's model. The factor structure was gender invariant. Ethic of critique was significantly related to ethical sensitivity. Research limitations/implications – More replications will be needed to fully support the ELQ's validity. Given that the instrument may be used in diverse cultural contexts, invariance across cultures would be warranted. Practical implications – As educational organizations become aware of the crucial need for more ethical leaders, they will need to pay particular attention to the ethic of critique as it appears to play a significant role in the development of ethical sensitivity. Social implications – Results presented in this paper answer a vital need for more ethical skills in educational leadership. Originality/value – The ELQ provides a validated measure of Starratt's conceptual framework and highlights the key role played by ethical sensitivity and the ethic of critique.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it