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Masnick, Amy M.; Morris, Bradley J. – Education Sciences, 2022
Data reasoning is an essential component of scientific reasoning, as a component of evidence evaluation. In this paper, we outline a model of scientific data reasoning that describes how data sensemaking underlies data reasoning. Data sensemaking, a relatively automatic process rooted in perceptual mechanisms that summarize large quantities of…
Descriptors: Models, Science Process Skills, Data Interpretation, Cognitive Processes
Prevodnik, Katja; Vehovar, Vasja – Sociological Methods & Research, 2023
When comparing social science phenomena through a time perspective, absolute and relative difference (RD) are the two typical presentation formats used to communicate interpretations to the audience, while time distance (TD) is the least frequently used of such formats. This article argues that the chosen presentation format is extremely important…
Descriptors: Comparative Analysis, Social Science Research, Public Agencies, College Faculty
Raychaudhuri, Debasree – International Journal of Mathematical Education in Science and Technology, 2008
In this note we develop a framework that makes explicit the inherent dynamic structure of certain mathematical definitions by means of the four facets of context-entity-process-object. These facets and their interrelations are then used to capture and interpret specific aspects of student constructions of the concept of solution to first order…
Descriptors: Mathematics Education, Calculus, Models, Definitions
Thornton, Thomas L.; Gilden, David L. – Psychological Review, 2007
A long-standing issue in the study of how people acquire visual information centers around the scheduling and deployment of attentional resources: Is the process serial, or is it parallel? A substantial empirical effort has been dedicated to resolving this issue. However, the results remain largely inconclusive because the methodologies that have…
Descriptors: Data Interpretation, Monte Carlo Methods, Cognitive Processes, Research Methodology

Peverly, Stephen T. – Review of Educational Research, 1991
The claim that knowledge alone accounts for variance of memory and development (MAD) is critiqued. Topics include the movement toward a knowledge-based view of MAD and problems with this approach; data suggesting that domain-independent strategies influence MAD; and evidence for a domain-independent tool of developmental import. (SLD)
Descriptors: Cognitive Processes, Data Interpretation, Development, Knowledge Level