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Record W2902641826 · doi:10.1371/journal.pone.0207807

Measuring and understanding social-emotional behaviors in preschoolers from rural Pakistan

2018· article· en· W2902641826 on OpenAlexfundno aff
Jenna E. Finch, Aisha K. Yousafzai, Muneera A. Rasheed, Jelena Obradović

Bibliographic record

VenuePLoS ONE · 2018
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersGrand Challenges Canada
KeywordsProsocial behaviorStrengths and Difficulties QuestionnaireDisadvantagedPsychologyConfirmatory factor analysisDevelopmental psychologyMental healthClinical psychologyEarly childhoodStructural equation modelingPsychiatry

Abstract

fetched live from OpenAlex

The Strengths and Difficulties Questionnaire (SDQ) is widely-used to measure symptoms of common childhood behavioral problems that may lead to mental health difficulties. In a sample of 1,302 highly-disadvantaged mothers and their preschoolers, we evaluated the factor structure and reliability of the parent-report version of the SDQ in rural Pakistan. Confirmatory factor analyses suggested that the original structure of the SDQ was not appropriate for our data. We created conceptually- and empirically-coherent measures of children's externalizing behavior problems and prosocial skills. Child and family correlates of social-emotional behaviors were similar to those found in other countries, supporting the validity of our new composites. Girls and children with more siblings had fewer externalizing behavior problems and more prosocial behaviors at four years. Further, maternal depressive symptoms and food insecurity were uniquely linked to more externalizing behavior problems at four years. In contrast, maternal education, home environment quality, and social-emotional skills at two years were associated with more prosocial behaviors at four years.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.133
GPT teacher head0.294
Teacher spread0.161 · 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 source (direct Gemma or distilled Codex), 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

Citations25
Published2018
Admission routes1
Has abstractyes

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Same venuePLoS ONE→Same topicChild and Adolescent Psychosocial and Emotional Development→French-language works237,207→