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Ali, Usama S.; Walker, Michael E. – ETS Research Report Series, 2014
Two methods are currently in use at Educational Testing Service (ETS) for equating observed item difficulty statistics. The first method involves the linear equating of item statistics in an observed sample to reference statistics on the same items. The second method, or the item response curve (IRC) method, involves the summation of conditional…
Descriptors: Difficulty Level, Test Items, Equated Scores, Causal Models
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Haberman, Shelby J. – ETS Research Report Series, 2008
Continuous exponential families are applied to linking forms via a single-group design. In this application, a distribution from the continuous bivariate exponential family is used that has selected moments that match those of the bivariate distribution of scores on the forms to be linked. The selected continuous bivariate distribution then yields…
Descriptors: Equated Scores, Probability, Statistical Distributions, Models
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Moses, Tim P.; von Davier, Alina A. – ETS Research Report Series, 2006
The two purposes of this paper are to provide a SAS IML macro that performs loglinear smoothing and to apply this macro to loglinear smoothing problems that have not been extensively discussed in the test-equating literature. The SAS macro is demonstrated on univariate, bivariate, and trivariate smoothing problems. The univariate and bivariate…
Descriptors: Statistical Analysis, Statistical Distributions, Equated Scores, Models
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Moses, Tim; von Davier, Alina A.; Casabianca, Jodi – ETS Research Report Series, 2004
The purpose of this report is to demonstrate loglinear smoothing using SAS PROC GENMOD. The results from four published examples, which include the smoothing of a) univariate distributions, b) bivariate distributions, c) distributions with teeth, and d) bivariate distributions with structural zeros, are reproduced to show the flexibility of the…
Descriptors: Statistical Analysis, Statistical Distributions, Comparative Analysis, Graphs