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Bainter, Sierra A.; Curran, Patrick J. – Journal of Cognition and Development, 2015
Amid recent progress in cognitive development research, high-quality data resources are accumulating, and data sharing and secondary data analysis are becoming increasingly valuable tools. Integrative data analysis (IDA) is an exciting analytical framework that can enhance secondary data analysis in powerful ways. IDA pools item-level data across…
Descriptors: Data Analysis, Integrated Activities, Inferences, Statistical Analysis
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Rhemtulla, Mijke; Little, Todd D. – Journal of Cognition and Development, 2012
Data collection can be the most time- and cost-intensive part of developmental research. This article describes some long-proposed but little-used research designs that have the potential to maximize data quality (reliability and validity) while minimizing research cost. In "planned missing data designs", missing data are used…
Descriptors: Data Collection, Reliability, Validity, Measures (Individuals)
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Erwin, T. Dary – Research & Practice in Assessment, 2012
Alumni self-ratings of their personal growth were linked to their intellectual development during college four to seven years earlier. Graduates that were satisfied with their personal growth in the arts, creative thinking, making logical inferences, learning independently, exercising initiative, and tolerating other points of view had higher…
Descriptors: College Graduates, Alumni, Self Evaluation (Groups), Individual Development
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Bernstein, Debra; Crowley, Kevin – Journal of the Learning Sciences, 2008
Children's worlds are increasingly populated by intelligent technologies. This has raised a number of questions about the ways in which technology can change children's ideas about important concepts, like what it means to be alive or smart. In this study, we examined the impact of experience with intelligent technologies on children's ideas about…
Descriptors: Intelligence, Individual Characteristics, Concept Formation, Robotics
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Jansen, Brenda R. J.; van der Maas, Han L. J. – Developmental Review, 1997
Used latent class analysis to test statistically Siegler's rule assessment methodology, the number of rules needed to fit a set of data. Found that rules can be identified, that some are different from those proposed by Siegler, the correct rule is not acquired by subjects, and that the rules in the transitional period are difficult to identify.…
Descriptors: Child Development, Children, Cognitive Development, Cognitive Processes
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Keselman, Alla – Journal of Research in Science Teaching, 2003
Early adolescents may lack the cognitive and metacognitive skills necessary for effective inquiry learning. In particular, they are likely to have a nonnormative mental model of multivariable causality in which effects of individual variables are neither additive nor consistent. Described here is a software-based intervention designed to…
Descriptors: Grade 6, Inferences, Metacognition, Cognitive Development