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Practical Considerations in Choosing an Anchor Test Form for Equating under the Random Groups Design
Cui, Zhongmin; He, Yong – Measurement: Interdisciplinary Research and Perspectives, 2023
Careful considerations are necessary when there is a need to choose an anchor test form from a list of old test forms for equating under the random groups design. The choice of the anchor form potentially affects the accuracy of equated scores on new test forms. Few guidelines, however, can be found in the literature on choosing the anchor form.…
Descriptors: Test Format, Equated Scores, Best Practices, Test Construction
Dorans, Neil J. – ETS Research Report Series, 2014
Simulations are widely used. Simulations produce numbers that are deductive demonstrations of what a model says will happen.They produce numerical results that are consistent with the premises of the model used to generate the numbers. These simulated numerical results are not empirical data that address aspects of the world that lies outside the…
Descriptors: Simulation, Equated Scores, Scores, Scientific Methodology
Öztürk-Gübes, Nese; Kelecioglu, Hülya – Educational Sciences: Theory and Practice, 2016
The purpose of this study was to examine the impact of dimensionality, common-item set format, and different scale linking methods on preserving equity property with mixed-format test equating. Item response theory (IRT) true-score equating (TSE) and IRT observed-score equating (OSE) methods were used under common-item nonequivalent groups design.…
Descriptors: Test Format, Item Response Theory, True Scores, Equated Scores

Segall, Daniel O. – Psychometrika, 1994
An asymptotic expression for the reliability of a linearly equated test is developed using normal theory. Reliability is expressed as the product of test reliability before equating and an adjustment term that is a function of the sample sizes used to estimate the linear equating transformation. The approach is illustrated. (SLD)
Descriptors: Equated Scores, Error of Measurement, Estimation (Mathematics), Sample Size
Yen, Wendy M. – 1982
Test scores that are not perfectly reliable cannot be strictly equated unless they are strictly parallel. This fact implies that tau equivalence can be lost if an equipercentile equating is applied to observed scores that are not strictly parallel. Thirty-six simulated data sets are produced to simulate equating tests with different difficulties…
Descriptors: Difficulty Level, Equated Scores, Latent Trait Theory, Methods