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Record W37436792 · doi:10.2196/45871

Associations Between Parenting and Child Behavior Problems Among Latino Mothers and Children

2005· dissertation· en· W37436792 on OpenAlexvenueno aff
Yamalis Diaz

Bibliographic record

VenueJMIR Formative Research · 2005
Typedissertation
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Institute of Mental HealthNational Institutes of Health
KeywordsDevelopmental psychologyPsychology

Abstract

fetched live from OpenAlex

The present study examines the ability of global parenting styles and specific parenting practices to predict attention and behavior problems in Latino children. Sociodemographic variables and acculturation were considered in all analyses to examine, and account for, their influences. 107 Latino mothers with a child between 6 and 12 years old completed demographic, parenting, and child behavior measures. Hierarchical linear regression analyses were conducted in order to predict child behavior from sociodemographic variables, acculturation, and parenting. All three parenting styles, and most practices, predicted reported behavior problems. Level of acculturation also consistently predicted child behavior problems. The present study adds to the growing body of literature demonstrating some differences in the associations between these styles and child behavior problems compared to what has been found in the general literature. In addition, it highlights the importance of considering level of acculturation when examining these associations within this population.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.045
GPT teacher head0.392
Teacher spread0.347 · 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

Citations8
Published2005
Admission routes1
Has abstractyes

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