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Record W4388495090 · doi:10.1111/cch.13195

Psychometric soundness and predictive factors of the NCAST Parent–Child Interaction Teaching Scale in urban Chinese population

2023· article· en· W4388495090 on OpenAlexaboutno aff
Mengxue Xu, Meiqi Ding, Wenrui Kong, Ni Jia, Shuangqin Yan, Xuejiao Zhang, Qinglan Zhang, Monica L. Oxford, Hongyan Guan

Bibliographic record

VenueChild Care Health and Development · 2023
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
FundersBeijing Municipal Health Commission
KeywordsCronbach's alphaPopulationIntraclass correlationPredictive validityPsychologyMedicineClinical psychologyDevelopmental psychologyPsychometricsEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Quality of parent-child interaction in early childhood functions as a critical indicator of nurturing care and is strongly associated with short-term and long-term development (health, cognition, language, social emotion, well-being, etc.). NCAST PCI Teaching Scale (PCI-TS), a video-based assessment regarded as a gold standard to measure PCI, has been widely used worldwide. However, its psychometric soundness among the urban Chinese population is unclear. This study assesses the PCI-TS's reliability and validity and explores predictive factors among urban Chinese parent-child dyads. METHODS: PCI-TS was adopted to code mother-child interaction among urban Chinese dyads recruited during the children's regular health checks in local maternal and child health centres. Reliability was evaluated by internal consistency (Cronbach'α coefficient) and test-retest reliability (Pearson correlation) with an average interval of 18 days. Score distribution of each subscale and total scale were compared with NCAST Database and Canadian community sample by single sample t-test. Criteria-related validity was conducted by Infant-Toddler Home Observation Measurement of the Environment (Pearson correlation). Predictive factors was performed by multiple linear regression. RESULTS: Four hundred and twenty-nine eligible mother-child dyads were included for data analysis among the 466 recruited samples. Four qualified local paediatricians accomplished video coding with an average agreement of 86%. The PCI-TS has strong reliability among the Chinese population with the Cronbach'α coefficients of the Caregiver-Infant total score, Caregiver total and Infant total scores of 0.81, 0.81 and 0.74, respectively; an acceptable test-retest reliability (r = 0.73, p < 0.01); and moderate correlation with IT-HOME, ranging from 0.53 to 0.62. Child age, birth weight, maternal education, full-time housewife, living with grandparent(s) and living space were predictive factors on PCI-TS in the Chinese population. CONCLUSION: PCI-TS showed good psychometric properties for measuring mother-child interactions among urban Chinese dyads, offering clinicians and researchers a practical tool to evaluate PCI objectively. Child age, maternal education and living space were beneficial factors, while full-time mothers and living with grandparent(s) were risk factors.

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 score0.057
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.305
Teacher spread0.287 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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