II. NIH Toolbox Cognition Battery (CB): measuring executive function and attention.
By Philip David Zelazo, Jacob E. Anderson, Jennifer Richler, Kathleen Wallner-Allen, J. Beaumont, S. Weintraub. Monographs of the Society for Research in Child Development, 2013
722 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Pediatrics, Perinatology and Child Health, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/8c24d7a3e674c1ccee1f756e7bf316ad8b0d52d3
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In Experimental and Cognitive Psychology
- Hattie Harvey
- G. Miller
- Thanh Lê
- Mary Hagedorn
- C. Nord
- M. Najarian
- Karen Tourangeau
- Alberto G. Sorongon
In Pediatrics, Perinatology and Child Health
Citations in the corpus
- Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011). User's Manual for the ECLS-K:2011 Kindergarten Data File and Electronic Codebook, Public Version. NCES 2015-074. (2015, methodology): “Two measures of executive function were included in fall and spring of kindergarten, first grade, and second grade, and in the spring of third, fourth, and fifth grades: the Dimensional Change Card Sort (DCCS) (Zelazo 2006; Zelazo et al. 2013), assessing children’s cognitive flexibility, and the Num”
- Prenatal developmental origins of behavior and mental health: The influence of maternal stress in pregnancy. (2017, methodology): “For the latter, the NIH toolbox, a comprehensive set of neurobehavioral measures to assess cognition, emotion, motor and sensation (e.g., Zelazo et al., 2013), could be used.”
- Executive Function Skills, Early Mathematics, and Vocabulary in Head Start Preschool Children (2017, methodology): “The National Institutes of Health Toolbox Cognition Battery (NIH Toolbox; Bauer & Zelazo, 2013; Zelazo et al., 2013) was designed as a multicomponent tool to assess EF processes in young children.”
- Examining the Relations Between Executive Function, Math, and Literacy During the Transition to Kindergarten: A Multi-Analytic Approach (2017, neutral): “…in our data, we estimated the associations between the growth parameters for each construct in a threetrajectory LGCM. Based on the assumption that growth in the target variables, especially EF (Zelazo et al., 2013), may be nonlinear, we specified quadratic growth curves for all target constructs.”