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Record W2768729395 · doi:10.5430/jnep.v8n3p72

Validation of the multidimensional sense of humor scale in people with chronic kidney disease

2017· article· en· W2768729395 on OpenAlexvenueno aff
Luís Sousa, Cristina María Alves Marques-Vieira, Sandy Severino, Juan Luis Pozo Rosado, Ana Vanessa Antunes, Helena José

Bibliographic record

VenueJournal of Nursing Education and Practice · 2017
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCronbach's alphaPsychologyClinical psychologyAffect (linguistics)Scale (ratio)Exploratory factor analysisHemodialysisKidney diseaseSense of humorPsychometricsSocial psychologyMedicinePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Multidimensional Sense of Humor Scale (MSHS) was developed by Thorson and Powell and it was validated in Portuguese, but not in people with chronic kidney disease (CKD). This study examined the psychometrics of the MSHS in people with CKD on hemodialysis. A random sample of 171 people with CKD undergoing hemodialysis was selected. Exploratory Factor Analysis revealed a structure with three factors, “Humor Production and Social Use of Humor”, “Adaptive Humor and Appreciation Humor” and “Attitude Towards Humor”, with Alpha Cronbach values of 0.93, 0.90 and 0.83 respectively. It revealed stability in both interview and questionnaire methods. It showed moderate positive correlations with Positive Affect, Subjective Happiness and Wellbeing Personal Index, and moderate negative correlation with Negative Affect. Therefore, MSHS shows evidence of being a valid, reliable and reproducible scale either by questionnaire or interview.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.512
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.049
GPT teacher head0.433
Teacher spread0.385 · 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

Citations10
Published2017
Admission routes1
Has abstractyes

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