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Perkins, Kyle; And Others – 1994
This paper reports the results of using a three-layer backpropagation artificial neural network to predict item difficulty in a reading comprehension test. Two network structures were developed, one with and one without a sigmoid function in the output processing unit. The data set, which consisted of a table of coded test items and corresponding…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Expert Systems, Item Analysis
McDaniel, Ernest; And Others – 1985
This study presents data augmenting the validity studies of the Wheatley Cube (McDaniel and Kroll, 1984), a computer managed test of spatial visualization. Twenty-one students in pilot training are administered several instruments designed to measure the ability to construct a cognitive three-dimensional space, including: (1) the Wheatley Cube,…
Descriptors: Cognitive Measurement, Cognitive Tests, Computer Assisted Testing, Flight Training
Lin, Miao-Hsiang – 1986
Specific questions addressed in this study include how time limits affect a test's construct and predictive validities, how time limits affect an examinee's time allocation and test performance, and whether the assumption about how examinees answer items is valid. Interactions involving an examinee's sex and age are studied. Two parallel forms of…
Descriptors: Age Differences, Computer Assisted Testing, Construct Validity, Difficulty Level
Frick, Theodore W. – 1986
The sequential probability ratio test (SPRT), developed by Abraham Wald, is one statistical model available for making mastery decisions during computer-based criterion referenced tests. The predictive validity of the SPRT was empirically investigated with two different and relatively large item pools with heterogeneous item parameters. Graduate…
Descriptors: Achievement Tests, Adaptive Testing, Classification, Comparative Analysis