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Record W3007668202 · doi:10.5539/ijps.v12n1p32

Moderating Role of Acculturation and School Type on Association between Parenting Style and Positive Psychological Development among Iranian Adolescents in Malaysia

2020· article· en· W3007668202 on OpenAlexvenueno aff
Shahnaz Sheibani, Rumaya Juhari, Majid Yoosefi Looyeh

Bibliographic record

VenueInternational Journal of Psychological Studies · 2020
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsAcculturationPsychologyAssociation (psychology)Structural equation modelingParenting stylesDevelopmental psychologyParental monitoringStratified samplingClinical psychologyEthnic group

Abstract

fetched live from OpenAlex

This study examines the moderating role of acculturation and school type (Iranian vs. International schools) on the association between parenting style and positive psychological development (PPD) among Iranian youth in Malaysia. Some 194 Iranian adolescents were selected from Iranian and International schools using the stratified random sampling method. The Iranian Version of the Self-Identity Acculturation Scale (SL-ASIA), Alabama Parenting Questionnaire (APQ), and Positive Youth Development-Short Form (PYD-SF) were employed. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used for data analysis. The results indicated that acculturation moderated the association between father involvement and poor monitoring in the PPD of adolescents. Moreover, positive parenting moderated the correlation between the total scores for acculturation and PPD, although the school type did not. The current study has indicated the importance of the role of acculturation on the association between parenting and PPD of migrated Iranian adolescents in host countries.

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)0.002
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.059
GPT teacher head0.359
Teacher spread0.300 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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