Abstract
This chapter describes traditional equating methods and their implementation in R. The equate package (Albano, J Stat Softw 74(8):1–36, 2016) will be used the most, although the possibility to use SNSequate (González, J Stat Softw 59(7):1–30, 2014) for traditional equating methods will also be explored. The methods included in this chapter are mean, linear and equipercentile equating for different data collection designs.
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Notes
- 1.
Technically, the score probability distributions are not identifiable (see, San Martín and González 2017).
- 2.
Analytic standard errors are displayed when available.
- 3.
Because of the random sampling involved in the bootstrap method, the obtained figures can be different.
- 4.
Because of the random sampling involved in the bootstrap method, the obtained output can be different.
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González, J., Wiberg, M. (2017). Traditional Equating Methods. In: Applying Test Equating Methods. Methodology of Educational Measurement and Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-51824-4_3
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DOI: https://doi.org/10.1007/978-3-319-51824-4_3
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