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Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
Dalrymple, Kirsten A.; Manner, Marie D.; Harmelink, Katherine A.; Teska, Elayne P.; Ellison, Jed T. – Grantee Submission, 2018
The quantitative assessment of eye tracking data quality is critical for ensuring accuracy and precision of gaze position measurements. However, researchers often report the eye tracker's optimal manufacturer's specifications rather than empirical data about the accuracy and precision of the eye tracking data being presented. Indeed, a recent…
Descriptors: Data Collection, Accuracy, Eye Movements, Age Groups
Grove, Crissie M. – Grantee Submission, 2009
As demand for information on postsecondary education has increased, institutions have had to adapt information systems to accurately report data. Institutions currently respond to multiple constituencies including national media outlets, higher education associations, state regulatory authorities, and federal agencies. The purpose of this study is…
Descriptors: Postsecondary Education, Data Collection, Information Utilization, Computer Software