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Yunxiao Chen; Xiaoou Li; Jingchen Liu; Gongjun Xu; Zhiliang Ying – Grantee Submission, 2017
Large-scale assessments are supported by a large item pool. An important task in test development is to assign items into scales that measure different characteristics of individuals, and a popular approach is cluster analysis of items. Classical methods in cluster analysis, such as the hierarchical clustering, K-means method, and latent-class…
Descriptors: Item Analysis, Classification, Graphs, Test Items
Verdine, Brian N.; Lucca, Kelsey R.; Golinkoff, Roberta M.; Hirsch-Pasek, Kathryn.; Newcombe, Nora S. – Grantee Submission, 2016
How do toddlers learn the names of geometric forms? Previous work suggests that preschoolers have fragmentary knowledge and that defining properties are not understood until well into elementary school. The current study investigated when children first begin to understand shape names and how they apply those labels to unusual instances. We tested…
Descriptors: Young Children, Geometric Concepts, Toddlers, Naming
Michal, Audrey L.; Uttal, David; Shah, Priti; Franconeri, Steven L. – Grantee Submission, 2016
Linking relations described in text with relations in visualizations is often difficult. We used eye tracking to measure the optimal way to extract such relations in graphs, college students, and young children (6- and 8-year-olds). Participants compared relational statements ("Are there more blueberries than oranges?") with simple…
Descriptors: Eye Movements, Graphs, College Students, Young Children

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