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Record W1996469860 · doi:10.1080/0963828031000152057

Is telephone assessment a valid tool in rehabilitation research and practice?

2003· article· en· W1996469860 on OpenAlexaff
Hy Day, Kent A. Campbell

Bibliographic record

VenueDisability and Rehabilitation · 2003
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversity of TorontoYork University
Fundersnot available
KeywordsInterviewPsychosocialRehabilitationTest (biology)Telephone interviewPsychologyData collectionApplied psychologyMedicinePhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To determine if face-to-face and telephone administration of questionnaires produce comparable results in rehabilitation research studies. METHOD A total of 80 participants who used eyeglasses as their primary visual assistive device agreed to participate. All completed the Life Orientation Test and the Psychosocial Impact of Assistive Devices Scale. Approximately half of the participants completed the forms after being approached by an interviewer and then were contacted by telephone 2 weeks later to complete the forms a second time. The other half of the participants initially completed the forms over the telephone and then met with an interviewer 2 weeks later and completed the forms face-to-face. RESULTS: For the forms used no statistically significant differences were found between groups or over time. CONCLUSION: For some questionnaires telephone administration may provide a convenient and cost-effective method of data collection. However, it should not be automatically assumed that all questionnaires will yield the same results regardless of the mode of administration used.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.204
metaresearch head score (Gemma)0.615
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.981

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2040.615
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0020.004
Scholarly communication0.0040.005
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.152
GPT teacher head0.551
Teacher spread0.399 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainMethods
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

Citations12
Published2003
Admission routes1
Has abstractyes

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