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Paek, Insu; Cui, Mengyao; Öztürk Gübes, Nese; Yang, Yanyun – Educational and Psychological Measurement, 2018
The purpose of this article is twofold. The first is to provide evaluative information on the recovery of model parameters and their standard errors for the two-parameter item response theory (IRT) model using different estimation methods by Mplus. The second is to provide easily accessible information for practitioners, instructors, and students…
Descriptors: Item Response Theory, Computation, Factor Analysis, Statistical Analysis
Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which includes an introduction to factorial experimental design, and the analysis of the main effects and interactions of two- and three-factor experiments. Indicates that it is a clearly thorough package putting over a limited idea in a very lucid manner. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Factor Analysis, Higher Education

Gardner, P. L. – Journal of Research in Science Teaching, 1987
Discusses the complicating effects of ambivalence on the validity of science attitude measurement scales. Cites studies indicating that the positive and negative effects about a particular psychological object are not necessarily bipolar. Suggests the use of factor analysis to check dimensionality in instruments. (TW)
Descriptors: Attitude Measures, Factor Analysis, Forced Choice Technique, Item Analysis
Lavelle, Ellen; Rickord, Bill – 1997
This research study reports the results of an attempt to build a model of individual differences in undergraduate student development based on factor analysis of a wide range of students' beliefs and behaviors. An 127-item inventory named the Dakota Inventory of Student Orientations was administered to 738 male and female undergraduate students in…
Descriptors: Attitude Measures, Correlation, Factor Analysis, General Education