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Record W2040684105 · doi:10.3138/physio.62.4.397

Reliability of the Assessment of Mother–Infant Sensitivity—Chinese Version for Preterm and Term Taiwanese Mother–Infant Dyads

2010· article· en· W2040684105 on OpenAlexvenueno aff
Yen‐Tzu Wu, Ui-Chih Lin, Yen‐Ting Yu, Wu‐Shiun Hsieh, Chyong-Hsin Hsu, Hui‐Chin Hsu, Liying Wang, Suh‐Fang Jeng

Bibliographic record

VenuePhysiotherapy Canada · 2010
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsnot available
FundersNational Taiwan UniversityMackay Memorial HospitalNational Taiwan University HospitalNational Health Research Institutes
KeywordsInter-rater reliabilityReliability (semiconductor)Internal consistencyMedicinePediatricsPsychologyDevelopmental psychologyPsychometricsClinical psychologyRating scale

Abstract

fetched live from OpenAlex

PURPOSE: The objectives of this study were to translate and modify the Assessment of Mother-Infant Sensitivity scale into a Chinese version (modified AMIS-C) and to examine its reliability with preterm and term Taiwanese mother-infant dyads. METHOD: A total of 241 mother-infant pairs (179 preterm dyads and 62 term dyads) were prospectively recorded and their behaviour in feeding assessed using the modified AMIS-C when infants were at 4 and 6 months corrected age. A subset of the sample was used for interrater reliability testing, and the whole sample was used for assessment of internal consistency. RESULTS: Interrater reliability was high for the modified AMIS-C section and total scores (intra-class correlation coefficients=0.91-0.99). Internal consistency was good to excellent for the maternal section and total score (α=0.71-0.86) and was fair to good for the infant and dyadic section score (α=0.44-0.75). CONCLUSIONS: The modified AMIS-C scale is a clinically feasible and reliable instrument for assessing mother-infant interaction of preterm and term dyads during early infancy.

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)0.000
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 score0.306
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.008
GPT teacher head0.362
Teacher spread0.354 · 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
Published2010
Admission routes1
Has abstractyes

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