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Moses, Tim; Deng, Weiling; Zhang, Yu-Li – Educational Testing Service, 2010
In the equating literature, a recurring concern is that equating functions that utilize a single anchor to account for examinee groups' nonequivalence are biased when the groups are extremely different and/or when the anchor only weakly measures what the tests measure. Several proposals have been made to address this equating bias by incorporating…
Descriptors: Equated Scores, Data Collection, Statistical Analysis, Differences
Rijmen, Frank – Educational Testing Service, 2010
As is the case for any statistical model, a multidimensional latent growth model comes with certain requirements with respect to the data collection design. In order to measure growth, repeated measurements of the same set of individuals are required. Furthermore, the data collection design should be specified such that no individual is given the…
Descriptors: Tests, Statistical Analysis, Models, Measurement
von Davier, Matthias; von Davier, Alina A. – Educational Testing Service, 2004
This paper examines item response theory (IRT) scale transformations and IRT scale linking methods used in the Non-Equivalent Groups with Anchor Test (NEAT) design to equate two tests, X and Y. It proposes a unifying approach to the commonly used IRT linking methods: mean-mean, mean-var linking, concurrent calibration, Stocking and Lord and…
Descriptors: Measures (Individuals), Item Response Theory, Item Analysis, Models


