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Record W2115378108 · doi:10.5539/ies.v5n4p212

Personality Variables as Predictors of Leadership Role Performance Effectiveness of Administrators of Public Secondary Schools in Cross River State, Nigeria

2012· article· en· W2115378108 on OpenAlexvenueno aff
Charles P. Akpan, Ijeoma A. Archibong

Bibliographic record

VenueInternational Education Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLocus of controlPsychologyPersonalitySelf-efficacySocial psychologyApplied psychologyStepwise regressionBig Five personality traitsRegression analysisData collectionStatistics

Abstract

fetched live from OpenAlex

The study sought to find out the predictive effect of self-concept, self-efficacy, self-esteem and locus of control on the instructional and motivational leadership roles performance effectiveness of administrators of public secondary schools in Cross River State of Nigeria. The relative contribution of each of the independent variables to the prediction was also investigated. The survey design was adopted for the study. The study sample consisted of 400 school administrators. Two hypotheses were formulated to guide the study. Two sets of instruments namely, Personality Factor Questionnaire (PFQ) and Administrator Leadership Roles Performance Questionnaire (ALRPQ) with reliability indices of 0.75 and 0.72 respectively, were used for data collection. The data collected were analyzed using stepwise multiple regression analysis. The results of the study revealed that self-efficacy, locus of control and self-concept contributed significantly to the prediction of administrators’ effectiveness in instructional leadership role performance while self-esteem did not. Also, self-concept, self-efficacy, and self-esteem relatively made significant contributions to the prediction of administrators’ effectiveness in motivational leadership role performance while locus of control did not. Based on these findings, it was recommended among other things that personality test should be used as a tool for appointment of school administrators.

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)0.002
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 score0.069
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 head0.084
GPT teacher head0.407
Teacher spread0.323 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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