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Record W2792215931 · doi:10.5539/res.v10n2p46

The Relationship Between Parenting Styles and Behavioral Disorders in LD Children

2018· article· en· W2792215931 on OpenAlexvenueno aff
Marziyeh Azizi, Nader Monirpour, Sara Ebrahim Khani

Bibliographic record

VenueReview of European Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPermissiveChecklistParenting stylesCBCLChild Behavior ChecklistDevelopmental psychologyDescriptive statisticsCorrelationPearson product-moment correlation coefficientPopulationClinical psychologyData collectionStatisticsDemographyMedicine

Abstract

fetched live from OpenAlex

This study has been conducted with the objective of evaluating the role of parenting styles in prediction of behavioral disorders in children with Learning Disability (LD). This study is a descriptive work conducted using correlation methods in kind of prediction model and statistical population in this study consists of children with learning disability (LD) referring to Educational and Rehabilitation Centers for Specific Learning Disorders of Tehran during academic year 2014-15. Using purposeful and voluntary sampling method, 130 people were selected as sample size. Data collection instrument in this study includes Bumerind parenting style questionnaire and Child Behavior Checklist for ages 6-18 Achenbach system of empirically based assessment (CBCL). Data analysis was done using Pearson correlation and multivariate regression using SPSS. The results obtained from the study showed that there is no significant correlation between authoritarian and authoritative parenting style and any components of behavioral disorders of LD children and only permissive parenting style has negative and significant correlation with externalized disorders of LD children.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.017
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.203
GPT teacher head0.457
Teacher spread0.254 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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