Development and Validation of the Work Role Motivation Scale for School Principals (WRMS-SP)
Bibliographic record
Abstract
Purpose: The aim of this study was to develop and validate a scale to assess work role motivation in school principals: the Work Role Motivation Scale for School Principals (WRMS-SP). The WRMS-SP is designed to measure intrinsic motivation, three types of extrinsic motivation (identified, introjected, and external), and amotivation with respect to three work roles (administrative, instructional leadership, and informative). Research Design: Data were gathered via a sample of 570 French Canadian school principals who completed an online questionnaire. Findings: Confirmatory factor analyses support (a) the 15-factor scale structure (5 types of motivation × 3 roles), (b) factor structure invariance over gender and job position, and (3) construct validity through a multitrait-multimethod matrix method analysis, which confirms the convergent and discriminant validity of the constructs and supports simplex patterns with respect to the roles, as well as intercorrelations between subscales and external criteria. Conclusions: The WRMS-SP is a promising instrument that could deepen our understanding, both theoretical and applied, of the professional functioning of principals and the repercussions on school success and improvement.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".