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Record W3014371753 · doi:10.1007/s12603-020-1353-0

Reliability Testing of the Team Member Mealtime Experience Questionnaire

2020· article· en· W3014371753 on OpenAlexaff
Heather Keller, Vanessa Vucea, Jill Morrison

Bibliographic record

VenueThe journal of nutrition health & aging · 2020
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsResearch Institute for AgingUniversity of Waterloo
Fundersnot available
KeywordsLikert scaleIntraclass correlationPsychologyReliability (semiconductor)Exploratory factor analysisTest (biology)Scale (ratio)Clinical psychologyPsychometricsDevelopmental psychology

Abstract

fetched live from OpenAlex

Team members influence the mealtime experience of residents. Their perspectives on their ability to provide resident- and relationship-centred care during mealtimes is limited. The aim of this study was to describe the development and determine the factor structure and internal and test-retest reliability of the Team member Mealtime Experience Questionnaire (TMEQ). A 23-item questionnaire was developed through several steps. A Likert scale of strongly disagree (score= 1) to strongly agree (score= 5) was used. A total of 137 team members from five diverse homes participated. Time and task-focused items had lower scores (indicating more negative perceptions), whereas knowledge and capability of how to provide resident- and relationship-centred mealtime care had higher scores. Exploratory factor analysis identified three factors; four items were eliminated based on this analysis. Test-retest reliability was completed with 103 participants. Intraclass correlation (ICC) for the total score and three subscales ranged from 0.72 -0.85 while Chronbach's alpha ranged from 0.81-0.92. The 19-item TMEQ is considered reliable for use in research and practice.

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 score0.329
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.067
GPT teacher head0.347
Teacher spread0.280 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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