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Record W7063971417

Análisis psicométrico de la Escala de Sucesos Estresantes Extraordinarios en docentes. Provincia Caylloma, Arequipa, Perú / Psychometric analysis of the life stressful events scale in teachers from Caylloma state, Arequipa, Peru

2023· article· es· W7063971417 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languagees
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsScale (ratio)Test (biology)Validation testRelevance (law)Factorial analysis
DOInot available

Abstract

fetched live from OpenAlex

Introducción: Los sucesos estresantes extraordinarios se consideran eventos de gran relevancia en la vida de las personas por los cambios que acarrean y porque se asocian con diversas patologías físicas y mentales. Objetivo: Analizar las propiedades psicométricas de la Escala de Sucesos Estresantes Extraordinarios de JF Labrador en profesores de la provincia de Caylloma, ubicada en la región Arequipa, al sur de Perú. Métodos: Se realizó un estudio de tipo instrumental con 169 profesores de la provincia de Caylloma (37,3 % varones y 62,7 % mujeres), a quienes se les aplicó la ficha de datos sociodemográficos y la Escala de Sucesos Estresantes Extraordinarios mediante una aplicación de Google forms. Resultados: Se encontró que la prueba cuenta con validez de constructo obtenida mediante el análisis factorial exploratorio, con una estructura bifactorial. Estos factores se denominaron estresores debidos a cambios en el entorno y estresores provocados por problemas en las relaciones interpersonales, que obtuvieron óptimos índices de confiabilidad mediante la prueba Omega de McDonald y la prueba Alfa de Cronbach. Conclusión: Se concluye que la Escala de Sucesos Estresantes Extraordinarios posee adecuados índices de validez y confiabilidad en los profesores de Caylloma, por tanto, se recomienda su uso para evaluar el estrés. Introduction: Extraordinary stressful events are considered events of great relevance in people's lives because of the changes that they bring about and because they are associated with various physical and mental illnesses. Objective: To analyze the psychometric properties of the JF Labrador’s Extraordinary Stress Events scale in professors from the Caylloma Province, located in the Arequipa Region, southern Peru. Methods: An instrumental study was carried out with 169 professors from the Caylloma Province (37.3% were males and 62.7% were females), to whom the sociodemographic data sheet and the Extraordinary Stress Events scale were applied through a Google Forms application. Results: The test was found to have construct validity obtained through exploratory factor analysis, with a bifactor structure. These factors were called stressors due to changes in the environment and stressors caused by problems in interpersonal relationships, which obtained optimal reliability indexes by means of the McDonald's omega and the Cronbach's alpha tests. Conclusion: The Extraordinary Stress Events scale has been concluded to have adequate validity and reliability indexes in Caylloma teachers; therefore, its use is recommended to evaluate stress.

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)0.003
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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.082
GPT teacher head0.500
Teacher spread0.418 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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