Developmental readiness and leadership development in medicine
Bibliographic record
Abstract
Purpose Leadership is a key competency for physicians. Based on the premise that not everyone benefits equally from leadership development programmes, the leader developmental readiness (LDR; ability and motivation to develop) construct has been proposed to account for the differences. The purpose of this project was to explore the relationship between LDR, leadership experience, leader behaviours and leader efficacy in medical learners. Method Survey data from 46 medical learners were collected in 2015–2016. Separate one-way analysis of variances, with between-group factors of leadership experience (<12 months, >12 months, 0 month), were carried out on LDR constructs of ability and motivation using five validated measures: motivation to lead, goal orientation, developmental efficacy, self-awareness and metacognitive ability. Spearman’s rank-order correlations were used to examine the relationship between LDR and experience with leader efficacy and leadership behaviours (transformational and transactional). Statistical significance was determined at p<0.05. Bonferroni corrections were applied for any multiple comparisons. Results Significant main effects were observed for both ability and motivation to develop, showing lower scores on these variables for individuals with less leadership experience. Both experience and LDR constructs (motivation and ability) were shown to be significantly positively associated with transformational leadership behaviour (and not transactional leadership behaviour). The LDR constructs, but not leadership experience, were significantly positively associated with leader efficacy. Conclusions The positive correlation between LDR, experience, and transformational leadership behaviours and between LDR and leader efficacy is of value in leadership development. Understanding the developmental readiness of learners and how this affects leadership development is paramount to better inform personal leadership development and structure leadership development programmes for medical learners and physicians.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".