scholarly journals The association of externalizing and internalizing problems with indicators of intelligence in a sample of at-risk children

Intelligence ◽  
2020 ◽  
Vol 80 ◽  
pp. 101448
Author(s):  
Nicholas Kavish ◽  
Jesse Helton ◽  
Michael G. Vaughn ◽  
Brian B. Boutwell
2017 ◽  
Author(s):  
Nicholas Kavish ◽  
Jesse Helton ◽  
Michael G. Vaughn ◽  
Brian B. Boutwell

AbstractTo date, a substantial body of research exists suggesting an association between indicators of intelligence and various deleterious outcomes, including externalizing and internalizing behavioral problems. Much of this research, however, has focused on samples drawn from the general population, thus it remains less clear how (and if) intelligence relates to problem behaviors in samples of highly at-risk individuals. The current study seeks to contribute to this knowledge base by examining the associations between intelligence and internalizing, externalizing, and total scores on the Child Behavioral Checklist in a sample of approximately 2,500 highly disadvantaged respondents considered by Child Protective Services as at-risk for abuse or neglect. While the two measures of intelligence performed differently, there emerged some association between overall lower IQ and higher total behavioral problem scores. There was some evidence that low IQ also predicted higher internalizing scores, but this relationship varied greatly by measure and model. Results, limitations, and implications of the current study are discussed.


2020 ◽  
Vol 56 (7) ◽  
pp. 1372-1384
Author(s):  
Stéphanie Boutin ◽  
Valérie Roy ◽  
Renée A. St-Pierre ◽  
Michèle Déry ◽  
Jean-Pascal Lemelin ◽  
...  

Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan

This case explores two common challenges facing organizations around the world: how to collect the right amount of data, and how to credibly use outcome data collected during program monitoring. Health promoters at Un Kilo de Ayuda (UKA) in Mexico use regularly collected health data on more than 50,000 children to structure their work, track their progress, and identify at-risk children in time to treat health problems. In this case, readers will assess the tradeoffs between actionability and responsibility that UKA faces in determining how much data to collect. They will also examine the challenges of monitoring data on a program’s outcomes instead of outputs, particularly when it comes to asserting a program’s impact on those outcomes. Finally, readers will propose ways to generate credible data on one of the organization’s programs when plans for an impact evaluation fall through.


2021 ◽  
pp. 027243162110203
Author(s):  
Glenn D. Walters

The goal of this study was to test nonverbal intelligence and neighborhood social capital as protective factors against future delinquency in early adolescent youth placed at risk by virtue of their involvement in childhood conduct problems. Analyzing longitudinal data from 3,028 youth (1,565 boys, 1,463 girls) in one cohort of the Longitudinal Study of Australian Children (LSAC) and 3,682 youth (1,896 boys, 1,786 girls) in a second cohort of the LSAC, nonverbal intelligence, as measured by the Matrix Reasoning subscale of the WISC-IV, displayed a consistent moderating effect on the conduct problems–future delinquency relationship. According to these results, conduct problems were slightly but significantly less likely to lead to delinquency when nonverbal intelligence was high than when it was low or moderate. By shielding at-risk children from future delinquency, protective factors like high nonverbal intelligence may provide a means by which delinquency can be prevented or reduced.


Author(s):  
Katherine Y H Chen ◽  
Leanne Saxon ◽  
Colin Robertson ◽  
Harriet Hiscock

1993 ◽  
Vol 22 (3) ◽  
pp. 421-436 ◽  
Author(s):  
Stephanie H. McConaughy ◽  
Russell J. Skiba

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