Adult attention deficit hyperactivity disorder symptoms and passive leadership: The mediating role of daytime sleepiness
Bibliographic record
Abstract
Passive leadership is attracting empirical interest with the detrimental effects of this type of leadership on a broad array of individual and organizational outcomes becoming apparent. However, just why leaders would engage in this type of nonleadership has received less research attention. We investigate whether and how leaders' attention deficit hyperactivity disorder (ADHD) is associated with passive leadership. Using a framework specifying how the physiology of sleepiness impacts the workplace, we hypothesize that leaders' ADHD is associated with passive leadership indirectly through daytime sleepiness. After controlling for leaders' age, gender, and preclinical symptoms of depression and anxiety, standard ordinary least squares regression procedures were implemented through Hayes' PROCESS models. Multisource data from 98 leader-follower groups (M number of followers per leader = 4.38, SD = 1.78) showed that the effects of leaders' ADHD symptoms on passive leadership were mediated by daytime sleepiness. Conceptual, methodological, and practical implications are discussed.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".