This paper addresses the scope for more integrated general analysis of diversity in science, technology and society. It proposes a framework recognizing three necessary but individually insufficient properties of diversity. Based on 10 quality criteria, it suggests a general quantitative non-parametric diversity heuristic. This allows the systematic exploration of diversity under different perspectives, including divergent conceptions of relevant attributes and contrasting weightings on different diversity properties. It is shown how this heuristic may be used to explore different possible trade-offs between diversity and other aspects of interest, including portfolio interactions. The resulting approach offers a way to be more systematic and transparent in the treatment of scientific and technological diversity in a range of fields, including conservation management, research governance, energy policy and sustainable innovation.

A General Framework for Analysing Diversity in Science, Technology and Society

Children’s behavioral self-regulation and executive function (EF; including attentional or cognitive flexibility, working memory, and inhibitory control) are strong predictors of academic achievement. The present study examined the psychometric properties of a measure of behavioral self-regulation called the Head-Toes-Knees-Shoulders (HTKS) by assessing construct validity, including relations to EF measures, and predictive validity to academic achievement growth between prekindergarten and kindergarten. In the fall and spring of prekindergarten and kindergarten, 208 children (51% enrolled in Head Start) were assessed on the HTKS, measures of cognitive flexibility, working memory (WM), and inhibitory control, and measures of emergent literacy, mathematics, and vocabulary. For construct validity, the HTKS was significantly related to cognitive flexibility, working memory, and inhibitory control in prekindergarten and kindergarten. For predictive validity in prekindergarten, a random effects model indicated that the HTKS significantly predicted growth in mathematics, whereas a cognitive flexibility task significantly predicted growth in mathematics and vocabulary. In kindergarten, the HTKS was the only measure to significantly predict growth in all academic outcomes. An alternative conservative analytical approach, a fixed effects analysis (FEA) model, also indicated that growth in both the HTKS and measures of EF significantly predicted growth in mathematics over four time points between prekindergarten and kindergarten. Results demonstrate that the HTKS involves cognitive flexibility, working memory, and inhibitory control, and is substantively implicated in early achievement, with the strongest relations found for growth in achievement during kindergarten and associations with emergent mathematics.

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Predictors of Early Growth in Academic Achievement: The Head-Toes-Knees-Shoulders Task.

Applying the Rasch Model

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The Cambridge handbook of expertise and expert performance

The present study explored the bidirectional and longitudinal associations between executive function (EF) and early academic skills (math and literacy) across 4 waves of measurement during the transition from preschool to kindergarten using 2 complementary analytical approaches: cross-lagged panel modeling and latent growth curve modeling (LCGM). Participants included 424 children (49% female). On average, children were approximately 4.5 years old at the beginning of the study (M = 4.69, SD = .30) and 55% were enrolled in Head Start. Cross-lagged panel models indicated bidirectional relations between EF and math over preschool, which became directional in kindergarten with only EF predicting math. Moreover, there was a bidirectional relation between math and literacy that emerged in kindergarten. Similarly, LGCM revealed correlated growth between EF and math as well as math and literacy, but not EF and literacy. Exploring the patterns of relations across the waves of the panel model in conjunction with the patterns of relations between intercepts and slopes in the LGCMs led to a more nuanced understanding of the relations between EF and academic skills across preschool and kindergarten. Implications for future research on instruction and intervention development are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved)

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Yixiao Dong

Papers

Moving Past "One Size Fits All": Developing a Trajectory Deviance Index for Dynamic Measurement Modeling (Poster 18)