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Peer reviewedHarwell, Michael R.; And Others – Journal of Educational Statistics, 1988
The Bock and Aitkin Marginal Maximum Likelihood/EM (MML/EM) approach to item parameter estimation is an alternative to the classical joint maximum likelihood procedure of item response theory. This paper provides the essential mathematical details of a MML/EM solution and shows its use in obtaining consistent item parameter estimates. (TJH)
Descriptors: Algorithms, Computer Software, Equations (Mathematics), Estimation (Mathematics)
Download full textChastain, Robert L.; Willson, Victor L. – 1986
Generalizability theory is based upon analysis of variance (ANOVA) and requires estimation of variance components for the ANOVA design under consideration in order to compute either G (Generalizability) or D (Decision) coefficients. Estimation of variance components has a number of alternative methods available using SAS, BMDP, and ad hoc…
Descriptors: Analysis of Variance, Computer Software, Correlation, Estimation (Mathematics)
Skaggs, Gary; Stevenson, Jose – 1986
This study assesses the accuracy of ASCAL, a microcomputer-based program for estimating item parameters for the three-parameter logistic model in item response theory. Item responses are generated from a three-parameter model, and item parameter estimates from ASCAL are compared to the generating item parameters and to estimates produced by…
Descriptors: Algorithms, Comparative Analysis, Computer Software, Estimation (Mathematics)
Linacre, John M. – 1990
Advantages and disadvantages of standard Rasch analysis computer programs are discussed. The unconditional maximum likelihood algorithm allows all observations to participate equally in determining the measures and calibrations to be obtained quickly from a data set. On the advantage side, standard Rasch programs can be used immediately, are…
Descriptors: Algorithms, Computer Assisted Testing, Computer Graphics, Computer Simulation
