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Record W3038081632 · doi:10.5539/ies.v13n7p128

Organizational Health Scale: A Scale Development Study

2020· article· en· W3038081632 on OpenAlexvenueno aff
Ercan Doğanay, Abidin Dağlı

Bibliographic record

VenueInternational Education Studies · 2020
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsCronbach's alphaScale (ratio)Confirmatory factor analysisPsychologyExploratory factor analysisConstruct validityReliability (semiconductor)ValidityStatisticsVariance (accounting)Applied psychologySocial psychologyPsychometricsClinical psychologyMathematicsStructural equation modelingGeography

Abstract

fetched live from OpenAlex

The purpose of this study is to develop a valid and reliable measurement tool for measuring organizational health of schools. The study group consists of 429 teachers working in secondary schools in the central districts of Eskişehir/Turkey in the 2015-2016 academic year. The construct validity of the scale was examined by exploratory factor analysis. According to the results of the analysis, the scale measures a four-factor structure. The four-factor structure of the scale was confirmed by confirmatory factor analysis. The total variance ratio explained by the scale was determined as 71.101%. In order to determine the reliability of the scale, the internal consistency coefficient of Cronbach’s alpha was evaluated and this value was determined as .915. The results of all validity and reliability analyzes show that the Organizational Health Scale can be used as a valid and reliable measurement tool in the studies that teachers will be taken as a working group.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.241
GPT teacher head0.582
Teacher spread0.341 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations19
Published2020
Admission routes1
Has abstractyes

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