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Record W6949513475 · doi:10.5281/zenodo.14233746

The Impact of the Principal's Servant Leadership on Teacher Performance at SMP Negeri 4 Laguboti in 2023

2024· article· en· W6949513475 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Leadership and Teacher Performance
Canadian institutionsInstitute for Christian Studies
Fundersnot available
KeywordsNull hypothesisSample (material)Statistical hypothesis testingRegression analysisPopulationServantTest (biology)Statistical analysisLinear regression

Abstract

fetched live from OpenAlex

Abstract: The objective of this study is to determine the influence of the principal's servant leadership on teacher performance at SMP Negeri 4 Laguboti. The research employs a quantitative inferential statistical method. The population consists of 32 teachers at SMP Negeri 4 Laguboti, with a sample size of 30 teachers selected from SMP Negeri 3 Lintongnihuta for the pilot test. Data were collected using a closed-ended questionnaire comprising 60 items. The data analysis results indicate a significant impact of the principal's servant leadership on teacher performance at SMP Negeri 4 Laguboti. The analysis of the relationship between variables X and Y yielded an rxy value of 0.527, which is greater than the critical value of rtabel(α=0.05,n=32) = 0.349, and a t-value of 3.394, exceeding the critical t-value of 1.684, indicating a positive and significant relationship between the variables. The simple linear regression equation obtained is ŷ = 33.949 + 0.735X. Hypothesis testing showed that Fhitung = 11.518, which is greater than Ftabel = 4.08, leading to the rejection of the null hypothesis (Ho) and acceptance of the alternative hypothesis (Ha). The study concludes that there is a positive and significant effect of the principal's servant leadership on teacher performance at SMP Negeri 4 Laguboti, with the coefficient of determination (r²) = 27.7%.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.125
GPT teacher head0.320
Teacher spread0.195 · 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 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
Published2024
Admission routes1
Has abstractyes

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