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Record W2161975354

Teachers' Perception of Their Principal's Leadership Style and the Effects on Student Achievement in Improving and Non-Improving Schools.

2011· book-chapter· en· W2161975354 on OpenAlexfundno aff
Brenda Kay Hardman

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsPrincipal (computer security)PsychologyPerceptionLeadership styleStyle (visual arts)Mathematics educationAcademic achievementPedagogySocial psychologyApplied psychologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Teachers' perceptions of their school leaders influence student achievement in their schools. The extent of this influence is examined in this study. This quantitative study examined teachers' perceptions of the leadership style of their principals as transformational, transactional or passive-avoidant in improving and non-improving schools in relation to student achievement. The study population was a purposeful sample of 143 teachers in 16 schools in one school district. Leadership behaviors, as perceived by the teachers, were measured using the Multi-factor Leadership Questionnaire. Student achievement was measured with the Florida Comprehensive Assessment Test results for each school using three years of results. Independent t-test, multiple regressions, and an open-ended question were used to analyze the research questions.\nThe study found that teachers in improving and non-improving schools had minimal differences in how they perceived their principals' leadership styles. All three leadership styles were statistically significant predictors of student achievement. School status was not significant in predicting student achievement indicating no difference in student achievement between improving and non-improving schools. Transactional leadership had a negative relationship while transformational and passive-avoidant leadership style had a positive relationship with student achievement.\nRegression analysis of the MLQ subscales for each leadership style as perceived by the teachers and the school status with student achievement found that transformational subscale intellectual stimulation and school status had a statistically significant positive relationship with student achievement. Likewise, the transactional subscale management by exception-active was a significant predictor with student achievement but had a negative relationship. Passive avoidant style also had a positive relationship with student achievement.\nTeacher demographics of gender, age, years as a teacher, years at current school, and level of school (elementary, middle, high) were examined in relation to perceived leadership style and school status. Multiple regression analysis found that only years at current school that was significant in how they perceived their principal's transformational or passive avoidant leadership style. No demographic variables were significant for transactional style or school status.\nOverall, teachers were satisfied with the principal's leadership style and effectiveness. Teachers most often cited school culture as having an influence on student achievement in both improving and non-improving schools.\nLimitations of the study included self-reported teacher perceptions of principal leadership style from 16 schools in one school district which limits generalizability; no controls for teacher classroom performance and no verification of respondents actually observing principal behaviors; time of year survey was given; and, the use of one instrument to measure leadership style may not reflect the actual leadership style of the principal.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.240
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), 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

Citations30
Published2011
Admission routes1
Has abstractyes

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