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Jarjoura, David; Kolen, Michael J. – Journal of Educational Statistics, 1985
An equating design in which two groups of examinees from slightly different populations are administered a different test form with a subset of common items is widely used. This paper presents standard errors and a simulation that verifies the equation for large samples for an equipercentile equating procedure for this design. (Author/BS)
Descriptors: Computer Simulation, Equated Scores, Error of Measurement, Estimation (Mathematics)
Wang, Tianyou; Kolen, Michael J. – 1994
In this paper a quadratic curve equating method for different test forms under a random-group data-collection design is proposed. Procedures for implementing this method and related issues are described and discussed. The quadratic-curve method was evaluated with real test data (from two 30-item subtests for a professional licensure examination…
Descriptors: Comparative Analysis, Data Collection, Equated Scores, Goodness of Fit
Cope, Ronald T.; Kolen, Michael J. – 1987
This study compared five density estimation techniques applied to samples from a population of 272,244 examinees' ACT English Usage and Mathematics Usage raw scores. Unsmoothed frequencies, kernel method, negative hypergeometric, four-parameter beta compound binomial, and Cureton-Tukey methods were applied to 500 replications of random samples of…
Descriptors: College Entrance Examinations, Estimation (Mathematics), Higher Education, Mathematical Models
Peer reviewed Peer reviewed
Kolen, Michael J.; Jarjoura, David – Psychometrika, 1987
A cubic spline method for smoothing equipercentile equating relationships under the common item nonequivalent populations design is described. Statistical techniques based on bootstrap estimation are presented for choosing an equating method/degree of smoothing. Smoothing decreases the estimate of random error but results in an increase in…
Descriptors: Analysis of Variance, Equated Scores, Error of Measurement, Estimation (Mathematics)