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Record W2170553426 · doi:10.5267/j.msl.2013.12.031

The efficacy of circle of security on attachment and well-being in preschool children

2014· article· en· W2170553426 on OpenAlexvenueno aff
Akram Dehghani, Mokhtar Malekpour, Ahmad Abedi, Shole Amiri

Bibliographic record

VenueManagement Science Letters · 2014
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the efficacy of Circle of Security (COS) on preschool children's attachment and well-being.48 mothers with children's age 4 to 6 year were randomly selected through cluster sampling and randomly assigned to experimental and control groups (24 mothers and child in each group).Then the experimental group received 20 weekly COS sessions in the center of preschool.The attachment Q-set and Preschool children wellbeing questionnaire (PCWQ) were used as the pretest, post-test and in the course of follow-up.Results of Multivariate Analysis of Covariance (MANCOVA) showed that the mean scores of attachment, in the experimental group, was significantly greater than the control group in posttest (P = 0.000) and follow-up (P = 0.002).Results also showed that the scores of well-being in experimental group was significantly greater than the control group in post-test (P = 0.006) and follow-up (P = 0.018).The finding of the study emphasized the importance of training of attachment in improvement of preschool children's attachment and well-being.More studies are suggested to understand better efficacy of maternal behavior on preschool children's well-being.

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)0.004
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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.005
GPT teacher head0.257
Teacher spread0.252 · 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

Citations13
Published2014
Admission routes1
Has abstractyes

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