By Jorge González, Marie Wiberg
This ebook describes tips on how to use try equating tools in perform. The non-commercial software program R is used through the ebook to demonstrate easy methods to practice various equating tools while ratings info are gathered below diversified facts assortment designs, equivalent to an identical teams layout, unmarried crew layout, counterbalanced layout and non an identical teams with anchor try out layout. The R applications equate, kequate and SNSequate, between others, are used to virtually illustrate the several equipment, whereas simulated and actual info units illustrate how the equipment are carried out with this system R. The booklet covers conventional equating equipment together with, suggest and linear equating, frequency estimation equating and chain equating, in addition to sleek equating tools similar to kernel equating, neighborhood equating and combos of those. It additionally deals chapters on saw and precise ranking merchandise reaction theory equating and discusses contemporary advancements in the equating box. extra particularly it covers the difficulty of together with covariates in the equating strategy, using diverse kernels and methods of choosing bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating features. It additionally illustrates the way to overview equating in perform utilizing simulation and diversified equating particular measures resembling the normal mistakes of equating, percentage relative mistakes, assorted that concerns and others.
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Additional resources for Applying Test Equating Methods using R
Wiberg, M. (2013). Performing the kernel method of test equating with the package kequate. Journal of Statistical Software, 55(6), 1–25. Angoff, W. H. (1971). Scales, norms and equivalent scores. In R. L. , pp. 508–600). Washington, DC: American Council on Education. (Reprinted as Angoff WH (1984). Scales, Norms and Equivalent Scores. ). Battauz, M. (2015). equateIRT: an R package for IRT test equating. Journal of Statistical Software, 68(7), 1–22. , & Holland, P. (1982). Observed-score test equating: a mathematical analysis of some ETS equating procedures.
Kernel equating will be discussed in detail in Chap. 4. Other examples of semiparametric equating estimators that will be discussed in Chap. 6 are local equating (van der Linden 2011), and combinations of kernel and local equating (Wiberg et al. 2014). 5 R Packages That Are Used in This Book A unique feature of this book is that it provides R code for performing all of the described equating methods. Four of the packages that will be used in the book can be considered “specialized” in the sense that they are particularly developed for equating.
XI r/; s/: where r and s are the vectors with elements rj and sk , and hX and hY are bandwidth parameters controlling the amount of smoothness. Kernel equating will be discussed in detail in Chap. 4. Other examples of semiparametric equating estimators that will be discussed in Chap. 6 are local equating (van der Linden 2011), and combinations of kernel and local equating (Wiberg et al. 2014). 5 R Packages That Are Used in This Book A unique feature of this book is that it provides R code for performing all of the described equating methods.