Abstract
Local equating (van der Linden (2011) Local observed-score equating. In: von Davier A (ed) Statistical models for test equating, scaling, and linking. Springer, New York, pp 201–223) can be seen as an attempt to obtain a fairer equating in comparison to the traditional equating methods described in previous chapters. In this chapter, the concept of local equating is presented, and some existing local equating methods that are currently implemented in kequate (Andersson et al., J Stat Softw 55(6):1–25, 2013) and SNSequate (González, J Stat Softw 59(7):1–30, 2014) are illustrated.
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- 1.
Alternative motivations for local equating are given in Sect. B.6.
- 2.
This method is also called estimated conditional equating or estimated true equating.
- 3.
Because we compare the results for test taker groups having the same anchor test score, test scores can be equated assuming an EG design.
- 4.
In addition, 0/1 matrices of item responses can be used as input in which case IRT models are internally fitted.
- 5.
An example showing local IRT observed-score kernel equating under the chained equating approach is shown in Andersson and Wiberg (2014).
References
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González, J., Wiberg, M. (2017). Local Equating. In: Applying Test Equating Methods. Methodology of Educational Measurement and Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-51824-4_6
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