Eva van de Weijer-Bergsma
Utrecht University
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Publication
Featured researches published by Eva van de Weijer-Bergsma.
Infant Behavior & Development | 2008
Eva van de Weijer-Bergsma; Lex Wijnroks; Marian J. Jongmans
A potential mechanism that can explain preterm childrens heightened risk for the development of later cognitive and behavioral problems is attention. Attention is the ability of an infant or child to orient to, to shift between and to maintain focus on events, objects, tasks, and problems in the external world, processes which are all dependent on the functioning of attentional networks in the brain. The aim of this paper is to provide a review of the literature on attention development in children born preterm during the first 4 years of life. First, research examining the differences between preterm and full-term children indicates that early attention development in infants born preterm is less optimal and that these differences increase when infants grow into toddlers. Second, studies investigating individual differences within preterm populations reveal the influence of both biological factors and environmental factors. Third, individual differences in early orienting and sustained attention have been shown to be predictive of later attentional, cognitive and behavioral functioning in children born preterm. The importance of long-term follow-up studies, with a focus on individual developmental trajectories in orienting, sustained and executive attention, is emphasized.
Memory & Cognition | 2015
Eva van de Weijer-Bergsma; Evelyn H. Kroesbergen; Johannes E. H. Van Luit
The relative importance of visual-spatial and verbal working memory for mathematics performance and learning seems to vary with age, the novelty of the material, and the specific math domain that is investigated. In this study, the relations between verbal and visual-spatial working memory and performance in four math domains (i.e., addition, subtraction, multiplication, and division) at different ages during primary school are investigated. Children (N = 4337) from grades 2 through 6 participated. Visual-spatial and verbal working memory were assessed using online computerized tasks. Math performance was assessed at the start, middle, and end of the school year using a speeded arithmetic test. Multilevel Multigroup Latent Growth Modeling was used to model individual differences in level and growth in math performance, and examine the predictive value of working memory per grade, while controlling for effects of classroom membership. The results showed that as grade level progressed, the predictive value of visual-spatial working memory for individual differences in level of mathematics performance waned, while the predictive value of verbal working memory increased. Working memory did not predict individual differences between children in their rate of performance growth throughout the school year. These findings are discussed in relation to three, not mutually exclusive, explanations for such age-related findings.
Behavior Research Methods | 2015
Eva van de Weijer-Bergsma; Evelyn H. Kroesbergen; E.J. Prast; Johannes E. H. Van Luit
Working memory is an important predictor of academic performance, and of math performance in particular. Most working memory tasks depend on one-to-one administration by a testing assistant, which makes the use of such tasks in large-scale studies time-consuming and costly. Therefore, an online, self-reliant visual–spatial working memory task (the Lion game) was developed for primary school children (6–12 years of age). In two studies, the validity and reliability of the Lion game were investigated. The results from Study 1 (n = 442) indicated satisfactory six-week test–retest reliability, excellent internal consistency, and good concurrent and predictive validity. The results from Study 2 (n = 5,059) confirmed the results on the internal consistency and predictive validity of the Lion game. In addition, multilevel analysis revealed that classroom membership influenced Lion game scores. We concluded that the Lion game is a valid and reliable instrument for the online computerized and self-reliant measurement of visual–spatial working memory (i.e., updating).
Journal of Child and Family Studies | 2012
Eva van de Weijer-Bergsma; Anne R. Formsma; Esther I. de Bruin; Susan M. Bögels
Mindfulness | 2012
Eva van de Weijer-Bergsma; George Langenberg; Rob Brandsma; Frans J. Oort; Susan M. Bögels
Mindfulness | 2014
Esther I. de Bruin; Bonne J. H. Zijlstra; Naline Geurtzen; Rinka M. P. Van Zundert; Eva van de Weijer-Bergsma; Esther E. Hartman; Anke M Nieuwesteeg; Larissa G. Duncan; Susan M. Bögels
Mindfulness | 2011
Esther I. de Bruin; Bonne J. H. Zijlstra; Eva van de Weijer-Bergsma; Susan M. Bögels
Behavior Research Methods | 2016
Eva van de Weijer-Bergsma; Evelyn H. Kroesbergen; Shahab Jolani; Johannes E. H. Van Luit
Frontline Learning Research | 2015
E.J. Prast; Eva van de Weijer-Bergsma; Evelyn H. Kroesbergen; Johannes E. H. Van Luit
Learning and Instruction | 2018
E.J. Prast; Eva van de Weijer-Bergsma; Evelyn H. Kroesbergen; Johannes E. H. Van Luit