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Record W6986677675

Propiedades psicométricas de la escala de Alexitimia de Toronto en universitarios de Cajamarca

2019· dissertation· es· W6986677675 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2019
Typedissertation
Languagees
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsStatisticFactorial analysisLimitingTest (biology)
DOInot available

Abstract

fetched live from OpenAlex

La presente investigación tuvo como objetivo determinar las propiedades
\npsicométricas del Cuestionario de Alexitimia de Toronto, realizada en universitario de la
\nciudad de Cajamarca, trabajándose con estudiantes del sexo femenino y masculino, con una
\nmuestra de 385 alumnos mayores de 18 años. Para el procesamiento respectivo de datos se
\nmanejó las tablas y gráficos conforme a la estadística descriptiva, que fueron procesados en
\nel SPSS Statistic 24, con el fin de lograr determinar las evidencias de validez; Por medio del
\nanálisis factorial confirmatorio, los resultados obtenidos en base a los índices de ajuste
\nlograron (Tabla 4). 
\nRespecto al ajuste satisfactorio en los valores de ajuste absoluto se llegó obtener una
\nrazón de chi cuadrado (X2= 433.89), grado de libertad (Gl= 167) llegando a existir una
\nrelación entre ambo modelos, así como bondad del ajuste (GFI = .892) y por lo cual se dice
\nque el modelo hipotético original, sugerido por el autor estaría indicando una respectiva
\ncorrespondencia con los datos obtenidos. 
\nAsí mismo cabe resaltar que al revisar el ajuste comparativo, se aprecia que el ajuste
\nobtenido revelo que el índice relativo denota (RFI = .701) mientras que el índice de ajuste
\ncomparativo (CFI = .818), observando que existe una interdependencia entre variables
\n(relación entre ítems), Por otro lado, el coeficiente omega presenta valores de fiabilidad que
\nvan de 0.54, 0.81, 0.07 en las dimensiones del cuestionario que vienen a ser tres.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.348
Teacher spread0.336 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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