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Record W1970925254 · doi:10.1044/2013_ajslp-13-0024

Examining the Construct Validity of the V-RQOL in Speakers Who Use Alaryngeal Voice

2014· article· en· W1970925254 on OpenAlexafffund
Catherine Bornbaum, Adam M. B. Day, Philip C. Doyle

Bibliographic record

VenueAmerican Journal of Speech-Language Pathology · 2014
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsLondon Health Sciences CentreWestern University
FundersCanadian Institutes of Health Research
KeywordsPsychologyConstruct (python library)Sample (material)Computer science

Abstract

fetched live from OpenAlex

PURPOSE: The construct validity of the Voice-Related Quality of Life (V-RQOL; Hogikyan & Sethuraman, 1999) measure was evaluated in a sample of 109 individuals who have undergone total laryngectomy. METHOD: A principal components factor analysis was performed on participant responses to the 10-question V-RQOL measure. RESULTS: Factor analysis of the V-RQOL in our alaryngeal sample confirmed the presence of two factors (physical and social-emotional), which is consistent with the identified domains in the current V-RQOL. However, the current data indicate that some of the questions proposed by the original authors of the V-RQOL (Questions 7 and 9) do not align with their proposed domains in this postlaryngectomy sample. CONCLUSION: The results indicate that some V-RQOL questions do not align with their proposed domains. Consequently, an alternative scoring algorithm may be warranted for alaryngeal populations, and the authors make suggestions for this change that are simple and efficient. Based on the findings of the present factor analysis, use of this modified scoring procedure may serve to increase the sensitivity of the V-RQOL for those who are laryngectomized and use alaryngeal methods of voice and speech. Consequently, the value and application of the V-RQOL may be expanded in the clinical setting.

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)0.001
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 score0.154
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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

Citations16
Published2014
Admission routes2
Has abstractyes

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