Development and validation of the Leadership Effectiveness in Africa and the Diaspora (LEAD) scale
Bibliographic record
Abstract
This article contributes to the literature on cross-cultural leadership by describing the development and validation of the Leadership Effectiveness in Africa and the Diaspora (LEAD) Scale. The LEAD Scale is a culturally sensitive measure of leadership effectiveness in the understudied settings of Africa and the African diaspora. A combination of methods and four studies using samples from Africa and the African diaspora based in Canada, the USA, and the Caribbean were used to develop the measure. Using the grounded theory approach and the Delphi technique (n = 192), followed by a set of increasingly rigorous tests including exploratory factor analysis (n = 441), confirmatory factor analysis (n = 116), and a test of measure invariance (n =1384), we developed and validated a culturally sensitive measure of effective leadership. Our results demonstrate that spirituality, tradition and community-centredness are important and culturally specific components of leadership in Africa and the African diaspora. This paper provides a validated measure of leadership and offers recommendations regarding the use of the measure by managers and researchers working in Africa or with African diaspora.
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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 | 0.017 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".