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A Zero-One Programming Approach to Gulliksen's Matched Random Subtests Method. Research Report 86-4.
van der Linden, Wim J.; Boekkooi-Timminga, Ellen – 1986
In order to estimate the classical coefficient of test reliability, parallel measurements are needed. H. Gulliksen's matched random subtests method, which is a graphical method for splitting a test into parallel test halves, has practical relevance because it maximizes the alpha coefficient as a lower bound of the classical test reliability…
Descriptors: Algorithms, Computer Assisted Testing, Computer Software, Difficulty Level

Armstrong, Ronald D.; And Others – Journal of Educational Statistics, 1994
A network-flow model is formulated for constructing parallel tests based on classical test theory while using test reliability as the criterion. Practitioners can specify a test-difficulty distribution for values of item difficulties as well as test-composition requirements. An empirical study illustrates the reliability of generated tests. (SLD)
Descriptors: Algorithms, Computer Assisted Testing, Difficulty Level, Item Banks
Eignor, Daniel R.; And Others – 1993
The extensive computer simulation work done in developing the computer adaptive versions of the Graduate Record Examinations (GRE) Board General Test and the College Board Admissions Testing Program (ATP) Scholastic Aptitude Test (SAT) is described in this report. Both the GRE General and SAT computer adaptive tests (CATs), which are fixed length…
Descriptors: Adaptive Testing, Algorithms, Case Studies, College Entrance Examinations
Raymond, Mark R.; Houston, Walter M. – 1990
Performance rating systems frequently use multiple raters in order to improve the reliability of ratings. However, unless all candidates are rated by the same raters, some candidates will be at an unfair advantage or disadvantage solely because they were rated by more stringent or lenient raters. To obtain fair and accurate evaluations of…
Descriptors: Algorithms, Computer Simulation, Educational Assessment, Evaluation Methods