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Record W3121332243 · doi:10.31014/aior.1994.02.04.86

Development of Life-Worldly Communication Scale for Older Persons: A Pilot Study

2019· article· en· W3121332243 on OpenAlexfundno aff
Yasuko Fukaya, Takanori Kitamura, Ritsuko Wakabayashi, Minato Kawaguchi

Bibliographic record

VenueJournal of Health and Medical Sciences · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersHealth Canada
KeywordsCorporationHealth informationScale (ratio)Public relationsBusinessProfit (economics)Health careGerontologyPsychologyPolitical scienceEconomic growthMedicineGeographyEconomicsFinance

Abstract

fetched live from OpenAlex

Objectives: Our prior study revealed that the speech duration of older people in long-term care facilities in Japan is four minutes in one day, owing to the lack of “life-worldly communications.” This study is a pilot study for the development and validation of the Life-Worldly Communication Scale (LWCS) that can efficiently measure the life-worldly communication duration of older people. Methods: The subjects were 65 individuals, 65 years of age or older, who were chosen among people living in long-term care facilities and in home care in Japan. The items of LWCS were generated from related literature. The content validity of LWCS was examined from the content validity ratio. Construct validity of LWCS was verified by exploratory and confirmatory factor analyses. Convergent or discriminant validity was examined from the relation between LWCS and the life-worldly communication time or depression level. Reliability was examined by inspecting internal consistency and stability. Results: The LWCS proved satisfactory in the goodness-of-fit index (GFI = .92, NFI = .91, CFI = .99, RMSEA =.03) by confirmatory factor analysis. Convergent validity of LWCS was supported by a significant correlation between LWCS and the life-worldly communication time (r = .62, P <.001). Reliability of LWCS was confirmed by internal consistency (Cronbach’s α =. 90) and stability (test-retest, r =.70, p <. 01). Conclusions: The reliability and validity of the LWCS were confirmed in the study population. However, the number of items included in each factor was insufficient. Efforts to improve LWCS are needed in the future.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.127
GPT teacher head0.466
Teacher spread0.339 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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