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Produced by Research Connections
Peer Reviewed JournalCurrent Filters: Author:Schaack, Diana [remove];
4 results found.|
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Accounting for movement between childcare classrooms: Does it change teacher effects interpretations? A study of the prevalence of teacher and child movement between classrooms, of the link between head and assistant teachers' qualifications and quality of care, and of the relationship between head and assistant teacher qualifications and children's literacy, receptive language, and mathematics skills that includes an examination of the mediating influence of child and teacher movement on that relationship, based on data from community-based child care centers serving 790 primarily low-income children in Colorado |
Reports & Papers
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Examining the psychometric properties of the Infant-Toddler Environment Rating Scale-Revised Edition in a high-stakes context An evaluation of the psychometric properties, the factor structure, and several subsets of questions of the Infant-Toddler Environment Rating Scale-Revised Edition (ITERS-R) in 153 classrooms in 59 Colorado child care centers that are allocated resources based on center performance |
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Lessons learned from the Qualistar rating and improvement system Rand validation study A discussion of findings and implications from an evaluation of the Colorado Qualistar Early Learning quality rating and improvement system (QRIS), which included: an assessment of system components and the relationships between them; a comparison of Qualistar measures to other established quality measures; and an examination of the association between quality improvements as measured by Qualistar components and children's socioemotional and cognitive outcomes |
Fact Sheets & Briefs
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Using generalized additive modeling to empirically identify thresholds within the ITERS in relation to toddlers' cognitive development Research linking high-quality child care programs and children's cognitive development has contributed to the growing popularity of child care quality benchmarking efforts such as quality rating and improvement systems (QRIS). Consequently, there has been an increased interest in and a need for approaches to identifying thresholds, or cutpoints, in the child care quality measures used in these benchmarking efforts that differentiate between different levels of children's cognitive functioning. To date, research has provided little guidance to policymakers as to where these thresholds should be set. Using the Early Childhood Longitudinal Study, Birth Cohort (ECLS-B) data set, this study explores the use of generalized additive modeling (GAM) as a method of identifying thresholds on the Infant/Toddler Environment Rating Scale (ITERS) in relation to toddlers' performance on the Mental Development subscale of the Bayley Scales of Infant Development (the Bayley Mental Development Scale Short Form--Research Edition, or BMDSF-R). The present findings suggest that simple linear models do not always correctly depict the relationships between ITERS scores and BMDSF-R scores and that GAM derived thresholds were more effective at differentiating among children's performance levels on the BMDSF-R. Additionally, the present findings suggest that there is a minimum threshold on the ITERS that must be exceeded before significant improvements in children's cognitive development can be expected. There may also be a ceiling threshold on the ITERS, such that beyond a certain level, only marginal increases in children's BMDSF-R scores are observed. (author abstract) |
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