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Chou, Tungshan; Huberty, Carl J. – 1992
The empirical performance of the technique proposed by P. O. Johnson and J. Neyman (1936) (the JN technique) and the modification of R. F. Potthoff (1964) was studied in simulated data settings. The robustness of the two JN techniques was investigated with respect to their ability to control Type I and Type III errors. Factors manipulated in the…
Descriptors: Analysis of Variance, Computer Simulation, Equations (Mathematics), Error Patterns
Peer reviewedLeutner, Detlev; Weinsier, Philip D. – Multivariate Behavioral Research, 1991
An interest questionnaire with 72 university course descriptions based on a facet design was used to determine whether computer anxiety or computer disinterest was related to interest in or willingness to take selected courses of 200 Belgian and German students. Analysis of variance supports conclusions from the multidimensional scalings. (SLD)
Descriptors: Analysis of Variance, College Students, Computer Literacy, Course Selection (Students)
Peer reviewedWolfram, Dietmar – Information Processing and Management, 1992
This second report on a two-part study on the application of informetrics to information retrieval (IR) system design used models of database contents in a factorial simulation study at the University of Western Ontario. The study explored whether different file structures were better suited for different informetric environments. (32 references)…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Simulation, Computer System Design
Marsh, Herbert W. – 1986
Marsh and Parker (1984) described the big-fish-little-pond effect (BFLPE) whereby equally able students have lower academic self-concepts in high-ability schools than in low-ability schools. The present investigation, a reanalysis of the Youth in Transition data, supported the generality of the earlier findings and demonstrated new theoretical…
Descriptors: Ability Grouping, Academic Ability, Academic Achievement, Analysis of Variance


