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Record W2314929527 · doi:10.5539/res.v8n2p159

The Structural Relations of Parameters of School-Based Management Based on Decentralization, Responsibility, Participation, Organizational Culture, and Organizational Commitment

2016· article· en· W2314929527 on OpenAlexvenueno aff
Aliakbar Amin Beidokhti, Kourosh Fathi, Saeid Moradi

Bibliographic record

VenueReview of European Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsLISRELDecentralizationPath coefficientStatistical populationPath analysis (statistics)Organizational cultureOrganizational commitmentPath (computing)Structural equation modelingPublic relationsBusinessKnowledge managementPsychologyPolitical scienceMathematicsComputer scienceStatistics

Abstract

fetched live from OpenAlex

<p>The aim of this study is to carry out the structural relations of parameters of school-based management based on decentralization, responsibility, participation, organizational culture, and organizational commitment. This study is an applied and survey. The statistical population of this research is all of the managers and teachers of Tehran city, of which 148 people (119 teachers and 29 managers) have been selected based on random sampling. The data have been collected using a questionnaire, whose admissibility and constancy have been proved in accordance to the view of related experts. In order to analyze data, Lisrel software has been used. Findings of study show that among the studied indexes, the organizational commitment with a path coefficient of 0.89; responsibility with a path coefficient of 0.86; participation with a path coefficient of 0.78; decentralization with a path coefficient of 0.73; and organizational culture with a path coefficient of 0.69, respectively maintain the most impact on the implementation of school-based management system in the schools of Tehran city. The principle of school management (school-based management) coupled with participative management is one of the approaches adopted by the majority of pioneering countries in a bid to enhance the efficiency of school management and to improve the quality of academic progress of pupils, which should be taken into consideration by the planners and decision-makers of our country’s educational system. The theoretical and applied allusions of the findings were discussed.</p>

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.071
GPT teacher head0.379
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2016
Admission routes1
Has abstractyes

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