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Record W3196137515 · doi:10.1080/00185868.2021.1969306

Psychometric Properties of a Scale Measuring Patients’ Perceptions Regarding Physical Activity Counseling by Physicians

2021· article· en· W3196137515 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHospital Topics · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsNiagara College
Fundersnot available
KeywordsCronbach's alphaDiscriminant validityScale (ratio)Confirmatory factor analysisClinical psychologyConvergent validityPsychologyVariance (accounting)Internal consistencyExplained variationPsychometricsReliability (semiconductor)PerceptionMedicineStatisticsStructural equation modelingMathematics

Abstract

fetched live from OpenAlex

This study developed a scale measuring patients' perceptions regarding physical activity (PA) counseling by physicians. Confirmatory factor analysis and multiple linear regression analysis were used to assess psychometric properties. The first factor extracted was "PA recommendation," which accounted for a variance of 45.1% out of total variance of 76.3% and comprises 5 items. The final scale yielded satisfactory psychometric properties including internal consistency (Cronbach's α = 0.75), convergent validity, discriminant validity, and predictive validity. Nine (9) items that makeup two factors (i.e., PA recommendation and follow-up) are potential measures of patients' perceptions regarding PA counseling by physicians in healthcare.

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.

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 score0.171
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.052
GPT teacher head0.371
Teacher spread0.319 · 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