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Evaluating the Missing Data Assumptions of the Chain and Poststratification Equating Methods

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Book cover Statistical Models for Test Equating, Scaling, and Linking

Abstract

The nonequivalent groups with anchor test (NEAT) design, also known as the common-item, nonequivalent groups design (Kolen & Brennan, 2004), is used for equating several operational tests. Two types of observed-score equating methods often used with the NEAT design are chain equating (CE) and poststratification equating (PSE). Here, we consider their nonlinear versions, that is, the frequency-estimation equipercentile method for PSE and the chained equipercentile methods for CE (see Kolen & Brennan, 2004).

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Notes

  1. 1.

    Note that because of the use of presmoothing, all values of h lP are positive.

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Correspondence to Sandip Sinharay .

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© 2009 Springer Science+Business Media, LLC

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Sinharay, S., Holland, P.W., von Davier, A.A. (2009). Evaluating the Missing Data Assumptions of the Chain and Poststratification Equating Methods. In: von Davier, A. (eds) Statistical Models for Test Equating, Scaling, and Linking. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-98138-3_17

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