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Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko; Hemat, Ramin; Zuckerman, Daniel – ETS Research Report Series, 2006
This paper describes the development, implementation, and evaluation of an automated system for predicting the acceptability status of candidate reading-comprehension stimuli extracted from a database of journal and magazine articles. The system uses a combination of classification and regression techniques to predict the probability that a given…
Descriptors: Automation, Prediction, Reading Comprehension, Classification
Gorin, Joanna S.; Embretson, Susan E. – Applied Psychological Measurement, 2006
Recent assessment research joining cognitive psychology and psychometric theory has introduced a new technology, item generation. In algorithmic item generation, items are systematically created based on specific combinations of features that underlie the processing required to correctly solve a problem. Reading comprehension items have been more…
Descriptors: Difficulty Level, Test Items, Modeling (Psychology), Paragraph Composition
Ratcliff, James L.; And Others – 1991
This paper reports on a study which used a new model, the Cluster Analytic Model (CAM), to determine the relationship between college coursework and general learning, as determined by the nine item types of the General Test of the Graduate Record Examination (GRE) and a faculty survey of perceptions of general learned abilities in relation to…
Descriptors: Abstract Reasoning, Cluster Analysis, Cognitive Development, College Curriculum