MétaCan
Menu
Back to cohort
Record W2335045980 · doi:10.5539/mas.v10n4p179

Effectiveness of Queen’s Parenting Program on Psychological Well-Being of Pre-School Children with Neuropsychological/Developmental Learning Disabilities

2016· article· en· W2335045980 on OpenAlexvenueno aff
Ali Akbar Ebrahimi, Ahmad Abedi, Ahmad Yarmohammadian, Salar Faramarzi

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDevelopmental psychologyMultivariate analysis of varianceNeuropsychologyWechsler Preschool and Primary Scale of IntelligenceClinical psychologyPopulationLearning disabilityIntelligence quotientWechsler Intelligence Scale for ChildrenMedicinePsychiatryCognition

Abstract

fetched live from OpenAlex

The present study aimed to examine the effectiveness of the Queen’s Parenting Program on psychological well-being of pre-school children with neuropsychological/developmental learning disability (NDLD). The population included all pre-school children with (NDLD). To conduct the research, using the stratified random sampling, 40 children with inclusion criteria were selected and then randomly put in the experimental and control groups. To collect data, the Wechsler Pre-school and primary Scale Intelligence (WPPSI) and Behavior Rating Inventory for Executive Function-Pre-school (BREIEF-P) for determining the inclusion criteria and the Ages and Stages Questionnaire (ASQ) for measuring psychological well-being were used. The results of analyzing data using ANCOVA and MANOVA indicated that psychological wellbeing and its dimensions improved significantly in children of the experimental group in comparison with the control group (p<0.05). Therefore, Queen’s program is effective on the psychological wellbeing of children with pre-school children with neuropsychological/developmental learning disability.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.337
Teacher spread0.314 · 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.

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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueModern Applied ScienceSame topicFamily and Disability Support ResearchFrench-language works237,207