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Hogan, M. J.; And Others – 1976
The problem of interpreting the dimensionality underlying binary test data is addressed. Medical school students were tested on both achievement and aptitude measures. The person-by-test (aptitude) interaction matrix was factor-analyzed to identify patterns of individual differences. The resultant groups of similar patterns were used as the…
Descriptors: Achievement Tests, Aptitude Tests, Discriminant Analysis, Factor Analysis
Graff, Martin – Electronic Journal of e-Learning, 2006
This study sought to investigate four separate issues regarding student performance in a blended learning environment in the delivery of a Psychology course to 140 University undergraduates. Firstly, to investigate the relationship between student performance on three different coursework assignments and their performance on interim online…
Descriptors: Computer Mediated Communication, Educational Technology, Online Courses, Electronic Learning
Yachimowicz, David J.; And Others – 1990
The psychometric properties of a paper-and-pencil instrument for assessing individual differences in cerebral dominance are explored. The instrument, Your Style of Learning and Thinking (SOLAT), contains 50 multiple-choice questions. The study subjects consisted of three groups: 235 undergraduate and graduate students, 124 undergraduate and…
Descriptors: Adults, Brain Hemisphere Functions, College Students, Comparative Testing
Peer reviewedArmstrong, Anne-Marie – Educational Measurement: Issues and Practice, 1993
The effects of test performance of differentially written multiple-choice tests and test takers' cognitive style were studied for 47 graduate students and 35 public school and college teachers. Adhering to test-writing item guidelines resulted in mean scores basically the same for two groups of differing cognitive style. (SLD)
Descriptors: Cognitive Style, College Faculty, Comparative Testing, Graduate Students


