Abstract
Depending on the equating data collection design, score data will be in the form of either univariate or bivariate distributions. In this chapter, we describe how to prepare the score distributions in order to read them into the different R packages that will be used. Presmoothing the score distributions as a first step in equating is also discussed. Known data sets appearing in the equating literature, as well as real data examples from an admissions test and an achievement test are described. The illustrations will use the three R packages equate (Albano, J Stat Softw 74(8):1–36, 2016), kequate (Andersson et al., J Stat Softw 55(6):1–25, 2013) and SNSequate (González, J Stat Softw 59(7):1–30, 2014).
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Notes
- 1.
The data can also be obtained in different file formats from this book’s webpage. Appendix A provides examples on how to read data files of different formats in R.
- 2.
Note that the 0-1 response matrices for forms X and Y can also be obtained from the KB36 list by writing KB36$KBformX and KB36$KBformY, respectively.
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González, J., Wiberg, M. (2017). Preparing Score Distributions. In: Applying Test Equating Methods. Methodology of Educational Measurement and Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-51824-4_2
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DOI: https://doi.org/10.1007/978-3-319-51824-4_2
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