Systematic meta-analysis of childhood social withdrawal in schizophrenia, and comparison with data from at-risk children aged 9–14 years

2013 ◽  
Vol 47 (8) ◽  
pp. 1061-1068 ◽  
Author(s):  
Sandra L. Matheson ◽  
Hena Vijayan ◽  
Hannah Dickson ◽  
Alana M. Shepherd ◽  
Vaughan J. Carr ◽  
...  
2011 ◽  
Vol 44 (3) ◽  
pp. 283-295 ◽  
Author(s):  
Loan Tran ◽  
Tori Sanchez ◽  
Brenda Arellano ◽  
H. Lee Swanson

This article synthesizes the literature comparing at-risk children designated as responders and low responders to interventions in reading. The central question addressed in this review is whether individual differences in reading-related skills at pretest predict responders at posttest across a variety of interventions and sets of criteria for determining responding and low responding. A total of 13 studies met criteria for the meta-analysis, yielding 107 weighted effect sizes (ESs) at posttest ( M = .76, SE = .03, 95% confidence interval [CI] =.71, .81) and 108 weighted ESs at pretest ( M = 1.02, SE = .03, CI = 1.02, 1.13). The results showed that the magnitude of ES between responders and low responders increased from pretest to posttest on measures of reading (e.g., real word identification = 1.06 vs. 1.53, word attack = 1.10 vs. 1.28, and passage comprehension, 0.45 vs. 1.43). Hierarchical linear modeling indicated that overall posttest ESs were significantly moderated by pretest scores as well as the type of measure administered, whereas no significant moderating effects were found for number of weeks of intervention, length of sessions, number of sessions, type of intervention (one-to-one vs. small group instruction), and criteria for defining responders (cutoff, scores, discrepancy, benchmark). Overall, the synthesis suggested that regardless of type of treatment and identification criteria, response-to-intervention (RTI) conditions were not effective in mitigating learner characteristics related to pretest conditions.


2017 ◽  
Vol 64 (2) ◽  
pp. 121-140 ◽  
Author(s):  
Colleen S. Conley ◽  
Jenna B. Shapiro ◽  
Alexandra C. Kirsch ◽  
Joseph A. Durlak

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

2012 ◽  
Vol 39 (4) ◽  
pp. 923-932 ◽  
Author(s):  
Paolo Fusar-Poli ◽  
Andreas Bechdolf ◽  
Matthew John Taylor ◽  
Ilaria Bonoldi ◽  
William T. Carpenter ◽  
...  

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