LEADER 03787nam 22005775 450 001 9910255104903321 005 20230810191040.0 010 $a3-319-51824-0 024 7 $a10.1007/978-3-319-51824-4 035 $a(CKB)3710000001094829 035 $a(DE-He213)978-3-319-51824-4 035 $a(MiAaPQ)EBC4818787 035 $a(EXLCZ)993710000001094829 100 $a20170306d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplying Test Equating Methods $eUsing R /$fby Jorge González, Marie Wiberg 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXVI, 196 p. 33 illus., 13 illus. in color.) 225 1 $aMethodology of Educational Measurement and Assessment,$x2367-1718 311 $a3-319-51822-4 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1. General Equating Theory Background -- 2. Preparing Score Distributions -- 3.Traditional Equating Methods -- 4. Kernel Equating -- 5. Item Response Theory Equating -- 6. Local Equating -- 7. Recent Developments in Equating. 330 $aThis book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non equivalent groups with anchor test design. The R packages equate, kequate and SNSequate, among others, are used to practically illustrate the different methods, while simulated and real data sets illustrate how the methods are conducted with the program R. The book covers traditional equating methods including, mean and linear equating, frequency estimation equating and chain equating, as well as modern equating methods such as kernel equating, local equating and combinations of these. It also offers chapters on observed and true score item response theory equating and discusses recent developments within the equating field. More specifically it covers the issue of including covariates within the equating process, the use of different kernels and ways of selecting bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating functions. It also illustrates how to evaluate equating in practice using simulation and different equating specific measures such as the standard error of equating, percent relative error, different that matters and others. 410 0$aMethodology of Educational Measurement and Assessment,$x2367-1718 606 $aEducational tests and measurements 606 $aPsychometrics 606 $aSocial sciences$xStatistical methods 606 $aAssessment and Testing 606 $aPsychometrics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 615 0$aEducational tests and measurements. 615 0$aPsychometrics. 615 0$aSocial sciences$xStatistical methods. 615 14$aAssessment and Testing. 615 24$aPsychometrics. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 676 $a371.271 700 $aGonzález$b Jorge$4aut$4http://id.loc.gov/vocabulary/relators/aut$0875935 702 $aWiberg$b Marie$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910255104903321 996 $aApplying Test Equating Methods$92536562 997 $aUNINA