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Record W4402275440 · doi:10.1111/dmcn.16070

Psychometric properties of the Alberta Infant Motor Scale and culturally adapted or translated versions when used for infant populations internationally: A systematic review

2024· review· en· W4402275440 on OpenAlexaboutno aff
Bianca Mendonça, Michael Kong, A. Coombs, Lynn Kysh, Barbara Sargent

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2024
Typereview
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
FundersMaternal and Child Health BureauNational Institutes of HealthEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentChildren's Hospital Los Angeles
KeywordsScale (ratio)PsychologyDevelopmental psychologyClinical psychologyMedicineGeographyCartography

Abstract

fetched live from OpenAlex

AIM: To systematically review the psychometric properties of the Alberta Infant Motor Scale (AIMS) when used for infant populations internationally, defined as infants not living in Canada, where the normative sample was established. METHOD: Seven databases were searched for studies that informed the psychometric properties of the AIMS and culturally adapted or translated versions in non-Canadian infant cohorts. RESULTS: Forty-nine studies reported results from 11 663 infants representing 22 countries. Country-specific versions of the AIMS are available for Brazilian, Polish, Serbian, Spanish, and Thai infant cohorts. Country-specific norms were introduced for Brazilian, Dutch, Polish, and Thai cohorts. The original Canadian norms were appropriate for Brazilian, Greek, and Turkish cohorts. Across countries, the validity, reliability, and responsiveness of the AIMS was generally sufficient, except for predictive validity. Sufficient structural validity was found in one study, responsiveness in one study, discriminant validity in four of four studies, concurrent validity in 14 of 16 studies, reliability in 26 of 26 studies, and predictive validity in only eight of 13 studies. INTERPRETATION: The use of the AIMS with validated versions and norms is recommended. The AIMS or country-specific versions should be used with caution if norms have not been validated within the specific cultural context.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.059
GPT teacher head0.313
Teacher spread0.253 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations9
Published2024
Admission routes1
Has abstractyes

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