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Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN
9783319518220

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319518224
ISBN-13
9783319518220
eBay Product ID (ePID)
237502762

Product Key Features

Number of Pages
Xxvi, 196 Pages
Publication Name
Applying Test Equating Methods : Using R
Language
English
Subject
Engineering (General), Assessment, Testing & Measurement, Statistics, Testing & Measurement
Publication Year
2017
Type
Textbook
Subject Area
Technology & Engineering, Social Science, Education, Psychology
Author
Marie Wiberg, Jorge González
Series
Methodology of Educational Measurement and Assessment Ser.
Format
Hardcover

Dimensions

Item Weight
177.1 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
371.260130285
Table Of Content
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.
Synopsis
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.
LC Classification Number
LB3050-3060.87

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