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Leighton, Jacqueline P. – Applied Measurement in Education, 2021
The objective of this paper is to comment on the think-aloud methods presented in the three papers included in this special issue. The commentary offered stems from the author's own psychological investigations of unobservable information processes and the conditions under which the most defensible claims can be advanced. The structure of this…
Descriptors: Protocol Analysis, Data Collection, Test Construction, Test Validity
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Bostic, Jonathan David – Applied Measurement in Education, 2021
Think alouds are valuable tools for academicians, test developers, and practitioners as they provide a unique window into a respondent's thinking during an assessment. The purpose of this special issue is to highlight novel ways to use think alouds as a means to gather evidence about respondents' thinking. An intended outcome from this special…
Descriptors: Protocol Analysis, Cognitive Processes, Data Collection, STEM Education
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Li, Ak Wai; Sinnamon, Luanne S.; Kopak, Rick – Information and Learning Sciences, 2022
Purpose: The purpose of this study is to explore open data portals as data literacy learning environments. The authors examined the obstacles faced and strategies used by university students as non-expert open data portal users with different levels of data literacy, to inform the design of portals intended to scaffold informal and situated…
Descriptors: Data Collection, Multiple Literacies, Data, College Students
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Bostic, Jonathan David; Sondergeld, Toni A.; Matney, Gabriel; Stone, Gregory; Hicks, Tiara – Applied Measurement in Education, 2021
Response process validity evidence provides a window into a respondent's cognitive processing. The purpose of this study is to describe a new data collection tool called a whole-class think aloud (WCTA). This work is performed as part of test development for a series of problem-solving measures to be used in elementary and middle grades. Data from…
Descriptors: Data Collection, Protocol Analysis, Problem Solving, Cognitive Processes