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Olvera Astivia, Oscar L. – Measurement: Interdisciplinary Research and Perspectives, 2021
Partially specified correlation matrices (not to be confused with matrices with missing data or EM-correlation matrices) can appear in research settings such as integrative data analyses, quantitative systematic reviews or whenever the study design only allows for the collection of certain variables. Although approaches to fill in these missing…
Descriptors: Correlation, Matrices, Statistical Analysis, Research Problems
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Thissen, David – Measurement: Interdisciplinary Research and Perspectives, 2015
In "Using Learning Progressions to Design Vertical Scales that Support Coherent Inferences about Student Growth" (hereafter ULR), Briggs and Peck suggest that learning progressions could be used as the basis of vertical scales with naturally benchmarked descriptions of student proficiency. They propose and provide a single example of a…
Descriptors: Academic Achievement, Achievement Gains, Achievement Rating, Psychometrics
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Almond, Russell G.; Kim, Yoon Jeon; Velasquez, Gertrudes; Shute, Valerie J. – Measurement: Interdisciplinary Research and Perspectives, 2014
One of the key ideas of evidence-centered assessment design (ECD) is that task features can be deliberately manipulated to change the psychometric properties of items. ECD identifies a number of roles that task-feature variables can play, including determining the focus of evidence, guiding form creation, determining item difficulty and…
Descriptors: Educational Games, Simulation, Psychometrics, Educational Assessment