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Nagy, Gabriel; Ulitzsch, Esther; Lindner, Marlit Annalena – Journal of Computer Assisted Learning, 2023
Background: Item response times in computerized assessments are frequently used to identify rapid guessing behaviour as a manifestation of response disengagement. However, non-rapid responses (i.e., with longer response times) are not necessarily engaged, which means that response-time-based procedures could overlook disengaged responses.…
Descriptors: Guessing (Tests), Academic Persistence, Learner Engagement, Computer Assisted Testing
Aaron McVay – ProQuest LLC, 2021
As assessments move towards computerized testing and making continuous testing available the need for rapid assembly of forms is increasing. The objective of this study was to investigate variability in assembled forms through the lens of first- and second-order equity properties of equating, by examining three factors and their interactions. Two…
Descriptors: Automation, Computer Assisted Testing, Test Items, Reaction Time
Ponce, Héctor R.; Mayer, Richard E.; Sitthiworachart, Jirarat; López, Mario J. – Educational Technology Research and Development, 2020
The transition from paper-based tests to corresponding computer-administered tests allows for the incorporation of improved interfaces that support response making. The main research question is whether innovative interfaces affect test response time and/or response accuracy. This study compared performance on banked cloze tests using a…
Descriptors: Cloze Procedure, Eye Movements, Reaction Time, Accuracy
Huang, Xin; Lin, Dan; Yang, Yiming; Xu, Yuhang; Chen, Qingrong; Tanenhaus, Michael K. – Scientific Studies of Reading, 2021
While recent studies find that contextual diversity (CD) is a better determinant of visual word recognition than token frequency, there is a dearth of work comparing contextual diversity and token frequency in developing readers. In two sets of character and lexical decision experiments we examined token frequency and contextual diversity effects…
Descriptors: Orthographic Symbols, Word Recognition, Context Effect, Word Frequency

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