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Liou, Michelle – Applied Psychological Measurement, 1988
In applying I. I. Bejar's method for detecting the dimensionality of achievement tests, researchers should be cautious in interpreting the slope of the principal axis. Other information from the data is needed in conjunction with Bejar's method of addressing item dimensionality. (SLD)
Descriptors: Achievement Tests, Computer Simulation, Difficulty Level, Equated Scores
Hwang, Chi-en; Cleary, T. Anne – 1986
The results obtained from two basic types of pre-equatings of tests were compared: the item response theory (IRT) pre-equating and section pre-equating (SPE). The simulated data were generated from a modified three-parameter logistic model with a constant guessing parameter. Responses of two replication samples of 3000 examinees on two 72-item…
Descriptors: Computer Simulation, Equated Scores, Latent Trait Theory, Mathematical Models
Skaggs, Gary; Lissitz, Robert W. – 1985
This study examined how four commonly used test equating procedures (linear, equipercentile, Rasch Model, and three-parameter) would respond to situations in which the properties or the two tests being equated were different. Data for two tests plus an external anchor test were generated from a three parameter model in which mean test differences…
Descriptors: Computer Simulation, Equated Scores, Error of Measurement, Goodness of Fit
Stocking, Martha L.; Eignor, Daniel R. – 1986
In item response theory (IRT), preequating depends upon item parameter estimate invariance. Three separate simulations, all using the unidimensional three-parameter logistic item response model, were conducted to study the impact of the following variables on preequating: (1) mean differences in ability; (2) multidimensionality in the data; and…
Descriptors: College Entrance Examinations, Computer Simulation, Equated Scores, Error of Measurement