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Gal Kaldes; Elizabeth L. Tighe; Qiwei He – Grantee Submission, 2024
Introduction: Despite the necessity for adults with lower literacy skills to undergo and succeed in high-stakes computer-administered assessments (e.g., GED, HiSET), there remains a gap in understanding their engagement with digital literacy assessments. Methods: This study analyzed process data, specifically time allocation data, from the Program…
Descriptors: Time Management, Adults, Literacy, Computer Assisted Testing
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Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
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Liu, Xiuying; Liu, Tongran; Shangguan, Fangfang; Sørensen, Thomas Alrik; Liu, Qian; Shi, Jiannong – Developmental Psychology, 2018
Conflict adaptation is key in how children self-regulate and assert cognitive control in a given situation compared with a previous experience. In the current study, we analyzed event-related potentials (ERPs) to identify age-related differences in conflict adaptation. Participants of different ages (5-year-old children, 10-year-old children, and…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Physiology, Comparative Analysis
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Rosenfeld, Rochelle; And Others – Psychological Assessment, 1992
A computer-administered version of the Yale-Brown Obsessive-Compulsive Scale was administered to 31 patients with obsessive-compulsive disorder, 16 with other anxiety disorders, and 23 nonpatient controls. The computer version correlated highly with the clinician-administered version and was well understood and liked by subjects. (SLD)
Descriptors: Adults, Anxiety, Behavior Patterns, Comparative Testing