國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Applying test equating methodsusing R /

Gonzalez, Jorge.

Applying test equating methodsusing R /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applying test equating methodsby Jorge Gonzalez, Marie Wiberg.
其他題名:	using R /
作者:	Gonzalez, Jorge.
其他作者:	Wiberg, Marie.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xxvi, 196 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	ExaminationsScoring.
電子資源:	http://dx.doi.org/10.1007/978-3-319-51824-4
ISBN:	9783319518244$q(electronic bk.)

Applying test equating methodsusing R /
Gonzalez, Jorge.

Applying test equating methodsusing R /[electronic resource] :by Jorge Gonzalez, Marie Wiberg. - Cham :Springer International Publishing :2017. - xxvi, 196 p. :ill., digital ;24 cm. - Methodology of educational measurement and assessment,2367-170X. - Methodology of educational measurement and assessment..

1. 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.

This 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.

ISBN: 9783319518244$q(electronic bk.)

Standard No.: 10.1007/978-3-319-51824-4doiSubjects--Topical Terms:

183063
Examinations
--Scoring.

LC Class. No.: LB3060.77 / .G66 2017

Dewey Class. No.: 371.260130285

Applying test equating methodsusing R /
LDR:02672nmm a2200325 a 4500 001 509050
003 DE-He213
005 20170306124547.0
006 m d
007 cr nn 008maaau
008 171121s2017 gw s 0 eng d
020 $a 9783319518244$q(electronic bk.)
020 $a 9783319518220$q(paper)
024 7 $a 10.1007/978-3-319-51824-4 $2 doi
035 $a 978-3-319-51824-4
040 $a GP $c GP
041 0 $a eng
050 4 $a LB3060.77 $b .G66 2017
072 7 $a JNKD $2 bicssc
072 7 $a EDU011000 $2 bisacsh
082 0 4 $a 371.260130285 $2 23
090 $a LB3060.77 $b .G643 2017
100 1 $a Gonzalez, Jorge. $3 775593
245 1 0 $a Applying test equating methods $h [electronic resource] : $b using R / $c by Jorge Gonzalez, Marie Wiberg.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxvi, 196 p. : $b ill., digital ; $c 24 cm.
490 1 $a Methodology of educational measurement and assessment, $x 2367-170X
505 0 $a 1. 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.
520 $a This 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.
650 0 $a Examinations $x Scoring. $3 183063
650 0 $a Examinations $x Interpretation. $3 182542
650 0 $a Educational tests and measurements $x Standards. $3 186323
650 0 $a R (Computer program language) $3 210846
650 1 4 $a Education. $3 177995
650 2 4 $a Assessment, Testing and Evaluation. $3 274753
650 2 4 $a Psychometrics. $3 182715
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 274394
700 1 $a Wiberg, Marie. $3 775594
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Methodology of educational measurement and assessment. $3 764300
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-51824-4
950 $a Education (Springer-41171)