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Record W7095203974

Scale for School Principals (WRMS-SP)

2016· article· en· W7095203974 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Professional Development and Motivation
Canadian institutionsnot available
Fundersnot available
KeywordsAmotivationScale (ratio)Confirmatory factor analysisDiscriminant validitySample (material)Work (physics)Test validityWork motivation
DOInot available

Abstract

fetched live from OpenAlex

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 intri nsic motivation, three types of extrinsic motivation (identified, introjected, and external), and amotivation with respect to three work roles (adminis-trative, 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) con-struct 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 intercorrela-tions between subscales and external criteria. Conclusions: The WRMS-SP is a promising instrument that could deepen our understanding, both theo retical and applied, of the professional functioning of principals and the repercussions on school success and improvement. at PENNSYLVANIA STATE UNIV on September 18, 2016eaq.sagepub.comDownloaded from

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.054
GPT teacher head0.364
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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