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Measurement of family‐centred care: translation, adaptation and validation of the Measure of Processes of Care (MPOC‐56 and ‐20) for use in Japan

2012· article· en· W1785164554 on OpenAlexaboutno aff
Nobuaki Himuro, Naoki Kozuka, Mitsuru Mori

Bibliographic record

VenueChild Care Health and Development · 2012
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)Cronbach's alphaConstruct validityIntraclass correlationScale (ratio)Measure (data warehouse)Clinical psychologyPsychologyTest (biology)Criterion validityRehabilitationValidityApplied psychologyMedicinePhysical therapyComputer sciencePsychometricsData miningGeographyCartographyPhysics

Abstract

fetched live from OpenAlex

BACKGROUND: The Measure of Processes of Care (MPOC) that was developed in Canada is a widely used quantitative measure of parents' perceptions of the extent to which family-centred care is conducted. The purpose of this study was to assess the validity and reliability of the Japanese version of the MPOC. METHODS: The translation of the MPOC was performed according to international standards for translation of questionnaires. The Canadian validation procedures were followed, consisting of concurrent validity, construct validity and test-retest reliability. The Japanese version of the MPOC was completed by 261 families with children receiving rehabilitation services. RESULTS: The Japanese version of the MPOC showed adequate internal consistency with Cronbach's alpha, varying between 0.76 and 0.94. The construct validity was examined with confirmative analysis of each scale structure. Correlations between the MPOC scale scores and satisfaction questions scores were positive, and that to a question about parents' stress was negative. For test-retest reliability, the intraclass correlation coefficients were between 0.76 and 0.89. CONCLUSIONS: The Japanese version of the MPOC has good psychometric properties and can be recommended for evaluation of the processes of child rehabilitation in Japan.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.152
GPT teacher head0.342
Teacher spread0.190 · 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

Citations21
Published2012
Admission routes1
Has abstractyes

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