Applying Test Equating Methods using R by Jorge González, Marie Wiberg

By Jorge González, Marie Wiberg

This booklet describes the best way to use attempt equating equipment in perform. The non-commercial software program R is used during the publication to demonstrate find out how to practice various equating tools while rankings information are gathered less than varied information assortment designs, equivalent to similar teams layout, unmarried staff layout, counterbalanced layout and non identical teams with anchor try layout. The R applications equate, kequate and SNSequate, between others, are used to virtually illustrate the several tools, whereas simulated and genuine information units illustrate how the equipment are performed 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 glossy equating tools equivalent to kernel equating, neighborhood equating and combos of those. It additionally bargains chapters on saw and actual rating merchandise reaction theory equating and discusses fresh advancements in the equating box. extra particularly it covers the difficulty of together with covariates in the equating method, using assorted kernels and methods of choosing bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating features. It additionally illustrates easy methods to review equating in perform utilizing simulation and diversified equating particular measures reminiscent of the traditional errors of equating, percentage relative blunders, diversified that issues and others.

Show description

Read Online or Download Applying Test Equating Methods using R PDF

Similar statistics books

Statistics of Financial Markets: Exercises and Solutions (2nd Edition) (Universitext)

Perform makes excellent. for this reason the easiest approach to studying versions is operating with them.

This publication encompasses a huge selection of routines and options with the intention to support clarify the records of monetary markets. those sensible examples are conscientiously offered and supply computational strategies to express difficulties, all of that are calculated utilizing R and Matlab. This examine also seems to be on the notion of corresponding Quantlets, the identify given to those application codes and which stick with the identify scheme SFSxyz123.

The booklet is split into 3 major elements, during which choice pricing, time sequence research and complex quantitative statistical ideas in finance is punctiliously mentioned. The authors have total effectively created the right stability among theoretical presentation and useful demanding situations.

Passionate Enquiry and School Development: A Story about Teacher Action Research

Utilizing existence reports on which to base a case learn process, this ebook develops the tale of a instructor venture motion study in class. In so doing, it discusses the validity of motion study, the achievements made by way of the instructor and the advantages to the varsity.

Applied Measurement with jMetrik

JMetrik is a working laptop or computer application for imposing classical and glossy psychometric tools. it really is designed to facilitate paintings in a construction setting and to make complicated psychometric tactics obtainable to each dimension practitioner. utilized size with jMetrik stories psychometric thought and describes how one can use jMetrik to behavior a complete psychometric research.

The Geometry of Multivariate Statistics

A conventional method of constructing multivariate statistical concept is algebraic. units of observations are represented via matrices, linear combos are shaped from those matrices by way of multiplying them by way of coefficient matrices, and important facts are chanced on via implementing numerous standards of optimization on those combos.

Extra info for Applying Test Equating Methods using R

Sample text

E. 3) FX and y1 ; : : : ; yny FY , a natural Having observed score data x1 ; : : : ; xnx estimator for the CDFs involved in the calculation of ' is the nonparametric empirical distribution function. In fact, because we do not specify any particular parametric family of score distributions, the data generating mechanism is fully described by the two CDFs FX and FY thus resulting in an equating estimator that 14 1 General Equating Theory Background is nonparametric by nature. Note, however, that in using this estimator, the problem of discreteness of the distributions persists and that is why linear interpolation has been used to continuize the obtained discrete distributions.

2014). ). New York: Springer. Livingston, S. A. (2004). Equating test scores (without IRT). Princeton, NJ: ETS. Lord, F. (1964). Nominally and rigorously parallel test forms. Psychometrika, 29(4), 335–345. Lord, F. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum Associates. , & Hambleton, R. K. (2011). Consequences of violated equating assumptions under the equivalent groups design. International Journal of Testing, 11(4), 308–323. McCullagh, P.

1 Data from Kolen and Brennan (2014) Kolen and Brennan (2014) describe and use two data sets to exemplify various methods of equating. The first data set consists of tests forms of the original ACT Mathematics test. The test contains 40 multiple-choice items scored incorrect (0) or correct (1). Test form X was administered to 4,329 examinees and test form Y to 4,152 examinees. 5 of Kolen and Brennan (2014) as score frequencies. We will refer to these data as the ACT data set. Both the equate and SNSequate packages include the ACT data set as the objects ACTmath and ACTmKB, respectively.

Download PDF sample

Rated 4.76 of 5 – based on 39 votes