東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Educational measurement for applied ...

Wu, Margaret.

Linked to FindBook

Google Book

Amazon

博客來

Educational measurement for applied researchers = theory into practice /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Educational measurement for applied researchers/ by Margaret Wu, Hak Ping Tam, Tsung-Hau Jen.
Reminder of title:	theory into practice /
Author:	Wu, Margaret.
other author:	Tam, Hak Ping.
Published:	Singapore :Springer Singapore : : 2016.,
Description:	xiv, 306 p. :ill., digital ;24 cm.
[NT 15003449]:	What Is Measurement -- Construct, Framework and Test Development - from IRT Perspectives. - Test Design -- Test Administration and Data Preparation -- Classical Test Theory -- An Ideal Measurement -- Rasch Model (The Dichotomous Case) -- Residual-based Fit Statistics -- Partial Credit Model -- Two-parameter IRT Models -- Differential Item Function -- Equating -- Facets Models -- Bayesian IRT Models (MML estimation) -- Multidimensional IRT models.
Contained By:	Springer eBooks
Subject:	Educational tests and measurements. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-3302-5
ISBN:	9789811033025

Educational measurement for applied researchers = theory into practice /
Wu, Margaret.

Educational measurement for applied researcherstheory into practice /[electronic resource] :by Margaret Wu, Hak Ping Tam, Tsung-Hau Jen. - Singapore :Springer Singapore :2016. - xiv, 306 p. :ill., digital ;24 cm.

What Is Measurement -- Construct, Framework and Test Development - from IRT Perspectives. - Test Design -- Test Administration and Data Preparation -- Classical Test Theory -- An Ideal Measurement -- Rasch Model (The Dichotomous Case) -- Residual-based Fit Statistics -- Partial Credit Model -- Two-parameter IRT Models -- Differential Item Function -- Equating -- Facets Models -- Bayesian IRT Models (MML estimation) -- Multidimensional IRT models.

This book is a valuable read for a diverse group of researchers and practitioners who analyze assessment data and construct test instruments. It focuses on the use of classical test theory (CTT) and item response theory (IRT), which are often required in the fields of psychology (e.g. for measuring psychological traits), health (e.g. for measuring the severity of disorders), and education (e.g. for measuring student performance), and makes these analytical tools accessible to a broader audience. Having taught assessment subjects to students from diverse backgrounds for a number of years, the three authors have a wealth of experience in presenting educational measurement topics, in-depth concepts and applications in an accessible format. As such, the book addresses the needs of readers who use CTT and IRT in their work but do not necessarily have an extensive mathematical background. The book also sheds light on common misconceptions in applying measurement models, and presents an integrated approach to different measurement methods, such as contrasting CTT with IRT and multidimensional IRT models with unidimensional IRT models. Wherever possible, comparisons between models are explicitly made. In addition, the book discusses concepts for test equating and differential item functioning, as well as Bayesian IRT models and plausible values using simple examples. This book can serve as a textbook for introductory courses on educational measurement, as supplementary reading for advanced courses, or as a valuable reference guide for researchers interested in analyzing student assessment data.

ISBN: 9789811033025

Standard No.: 10.1007/978-981-10-3302-5doiSubjects--Topical Terms:

516954
Educational tests and measurements.

LC Class. No.: LB3051 / .W8 2016

Dewey Class. No.: 371.26

Educational measurement for applied researchers = theory into practice /
LDR:03054nmm a2200313 a 4500 001 2084198
003 DE-He213
005 20170102125550.0
006 m d
007 cr nn 008maaau
008 170820s2016 si s 0 eng d
020 $a 9789811033025 $q (electronic bk.)
020 $a 9789811033001 $q (paper)
024 7 $a 10.1007/978-981-10-3302-5 $2 doi
035 $a 978-981-10-3302-5
040 $a GP $c GP
041 0 $a eng
050 4 $a LB3051 $b .W8 2016
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 371.26 $2 23
090 $a LB3051 $b .W959 2016
100 1 $a Wu, Margaret. $3 3210105
245 1 0 $a Educational measurement for applied researchers $h [electronic resource] : $b theory into practice / $c by Margaret Wu, Hak Ping Tam, Tsung-Hau Jen.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2016.
300 $a xiv, 306 p. : $b ill., digital ; $c 24 cm.
505 0 $a What Is Measurement -- Construct, Framework and Test Development - from IRT Perspectives. - Test Design -- Test Administration and Data Preparation -- Classical Test Theory -- An Ideal Measurement -- Rasch Model (The Dichotomous Case) -- Residual-based Fit Statistics -- Partial Credit Model -- Two-parameter IRT Models -- Differential Item Function -- Equating -- Facets Models -- Bayesian IRT Models (MML estimation) -- Multidimensional IRT models.
520 $a This book is a valuable read for a diverse group of researchers and practitioners who analyze assessment data and construct test instruments. It focuses on the use of classical test theory (CTT) and item response theory (IRT), which are often required in the fields of psychology (e.g. for measuring psychological traits), health (e.g. for measuring the severity of disorders), and education (e.g. for measuring student performance), and makes these analytical tools accessible to a broader audience. Having taught assessment subjects to students from diverse backgrounds for a number of years, the three authors have a wealth of experience in presenting educational measurement topics, in-depth concepts and applications in an accessible format. As such, the book addresses the needs of readers who use CTT and IRT in their work but do not necessarily have an extensive mathematical background. The book also sheds light on common misconceptions in applying measurement models, and presents an integrated approach to different measurement methods, such as contrasting CTT with IRT and multidimensional IRT models with unidimensional IRT models. Wherever possible, comparisons between models are explicitly made. In addition, the book discusses concepts for test equating and differential item functioning, as well as Bayesian IRT models and plausible values using simple examples. This book can serve as a textbook for introductory courses on educational measurement, as supplementary reading for advanced courses, or as a valuable reference guide for researchers interested in analyzing student assessment data.
650 0 $a Educational tests and measurements. $3 516954
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 894294
650 2 4 $a Assessment, Testing and Evaluation. $3 897018
650 2 4 $a Mathematics in the Humanities and Social Sciences. $3 1565599
650 2 4 $a Mathematical Software. $3 897499
700 1 $a Tam, Hak Ping. $3 3210106
700 1 $a Jen, Tsung-Hau. $3 3210107
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-3302-5
950 $a Mathematics and Statistics (Springer-11649)