Original Article

Prediction of Self-Control Based on Cognitive Intelligence and Socio-Emotional Behavior Assessments in Early Childhood

Abstract

Purpose: The infrastructure core of self-control, as an indicator of future success, is unsettled. To better investigate the nature of self-control, and strengthening it, it is necessary to know to what extent is self-control based on cognitive or socio-emotional abilities?

Materials and Methods: The authors measured the cognitive intelligence and socio-emotional behavior of 377 healthy Iranian children (girl=46.1%) by WPPSI-III and Kindergarten Inventory of Social-Emotional Tendencies (KIST) at the age range of 42-66 months (mean=54.86, SD=5.88). Then, they assessed their Self-control competency 18 months later, to know which component of WPPSI or KIST could better predict Self-control.

Results:.The correlation matrix between all study variables shows that there are more positive significant correlations among Self-control with KIST subsets (5/6) than WPPSI subsets (2/10). The results of automatic linear modelling show that the significant predictors of self-control in the total model (R2=0.161) were HMB, (coefficient=.137, importance=0.781), and DLS (coefficient=.127, importance=0.125), so HMB is the best predictor of self-control among the subsets examined in our research. Therefore, self-control is more related to the socio-emotional than cognitive domain.

Conclusion: We suggest children who get a low score in socio-emotional assessments, need early supportive intervention and rehabilitation to prevent the maldevelopment of self-control.

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IssueVol 9 No 1 (2022) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/fbt.v9i1.8141
Keywords
Early Childhood Development Self-Control Cognitive Intelligence Socio-Emotional Behavior Hyperactivity-Maladaptive Behavior

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Dadjoo M, Gharibzadeh S. Prediction of Self-Control Based on Cognitive Intelligence and Socio-Emotional Behavior Assessments in Early Childhood. Frontiers Biomed Technol. 2021;9(1):21-28.