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Other titles in the Statistics for Social and Behavioral Sciences series:

Linear Models for Optimal Test Design

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Linear Models for Optimal Test Design Cover

 

Synopses & Reviews

Publisher Comments:

This book begins with a reflection on the history of test design - the core activity of all educational and psychological testing. It then presents a standard language for modeling test design problems as instances of multi-objective constrained optimization. The main portion of the book discusses test design models for a large variety of problems from the daily practice of testing, and illustrates their use with the help of numerous empirical examples. The presentation includes models for the assembly of tests to an absolute or relative target for their information functions, classical test assembly, test equating problems, item matching, test splitting, simultaneous assembly of multiple tests, tests with item sets, multidimensional tests, and adaptive test assembly. Two separate chapters are devoted to the questions of how to design item banks for optimal support of programs with fixed and adaptive tests. Linear Models for Optimal Test Design, which does not require any specific mathematical background, has been written to be a helpful resource on the desk of any test specialist. From the reviews: "'Test' in this book refers to educational and psychological testing, a field which has advanced dramatically in recent decades. ... The technical level is kept to a minimum, using little beyond 'high school algebra' and linear programming. ... I would like to think that this superb comprehensive synthesis of the field by one of its leading proponents will serve to broaden awareness of what can nowadays be achieved using such tools." (D.J. Hand, Short Book Reviews, Vol. 26 (1), 2006) "...Linear Models for Optimal Test Design is a succinctly written and comprehensive book on optimal test assembly that can serve as a reference book and even as a textbook for courses on test construction. It is a book taht focuses on the author's area of research, yet treats the contributions of others. The result is one of the most useful textbooks available in the field of educational testing fairly." (Jeffery Douglas for the Journal of the American Statistical Assocation, December 2006)

Synopsis:

This book begins with a reflection on the history of test design - the core activity of all educational and psychological testing. It then presents a standard language for modeling test design problems as instances of multi-objective constrained optimization. The main portion of the book discusses test design models for a large variety of problems from the daily practice of testing, and illustrates their use with the help of numerous empirical examples. The presentation includes models for the assembly of tests to an absolute or relative target for their information functions, classical test assembly, test equating problems, item matching, test splitting, simultaneous assembly of multiple tests, tests with item sets, multidimensional tests, and adaptive test assembly. Two separate chapters are devoted to the questions of how to design item banks for optimal support of programs with fixed and adaptive tests. Linear Models for Optimal Test Design, which does not require any specific mathematical background, has been written to be a helpful resource on the desk of any test specialist.

From the reviews:

???Test??? in this book refers to educational and psychological testing, a field which has advanced dramatically in recent decades. ??? The technical level is kept to a minimum, using little beyond ???high school algebra??? and linear programming. ??? I would like to think that this superb comprehensive synthesis of the field by one of its leading proponents will serve to broaden awareness of what can nowadays be achieved using such tools. (D.J. Hand, Short Book Reviews, Vol. 26 (1), 2006)

.,.Linear Models for Optimal Test Design is a succinctly written and comprehensive bookon optimal test assembly that can serve as a reference book and even as a textbook for courses on test construction. It is a book taht focuses on the author's area of research, yet treats the contributions of others. The result is one of the most useful textbooks available in the field of educational testing fairly. (Jeffery Douglas for the Journal of the American Statistical Assocation, December 2006)

Synopsis:

Wim van der Linden was just given a lifetime achievement award by the National Council on Measurement in Education. There is no one more prominent in the area of educational testing. There are hundreds of computer-based credentialing exams in areas such as accounting, real estate, nursing, and securities, as well as the well-known admissions exams for college, graduate school, medical school, and law school - there is great need on the theory of testing. This book presents the statistical theory and practice behind constructing good tests e.g., how is the first test item selected, how are the next items selected, and when do you have enough items.

Synopsis:

New developments to test specialists working at testing agencies as well as a text for students in classes on test theory, test construction, or applied statistics.

Table of Contents

A Brief History of Test Theory and Design .- Formulating Test Specifications .- Modeling Test Assembly Problems .- Solving Test Assembly Problems .- Models for Assembling Single Tests .- Models for Assembling Multiple Tests .- Models for Assembling Tests with Items Sets .- Models for Assembling Tests Measuring Multiple Abilities .- Models for Adaptive Test Assembly .- Designing Item Pools for Programs with Fixed Tests .- Designing Item Pools for Programs with Adaptive Tests .- Epilogue

Product Details

ISBN:
9780387202723
Author:
Linden, W. J. Van Der
Publisher:
Springer
Author:
Linden, Wim J. Van Der
Author:
Van Der Linden, W. J.
Subject:
Linear Programming
Subject:
Statistics
Subject:
Psychometrics
Subject:
Linear models (statistics)
Subject:
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Subject:
Assessment, Testing and Evaluation
Subject:
Mathematics-Computer
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Statistics for Social and Behavioral Sciences
Publication Date:
August 2005
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
432
Dimensions:
235 x 155 mm 1730 gr

Related Subjects


Science and Mathematics » Mathematics » Computer
Science and Mathematics » Mathematics » General

Linear Models for Optimal Test Design New Hardcover
0 stars - 0 reviews
$190.25 In Stock
Product details 432 pages Springer - English 9780387202723 Reviews:
"Synopsis" by , This book begins with a reflection on the history of test design - the core activity of all educational and psychological testing. It then presents a standard language for modeling test design problems as instances of multi-objective constrained optimization. The main portion of the book discusses test design models for a large variety of problems from the daily practice of testing, and illustrates their use with the help of numerous empirical examples. The presentation includes models for the assembly of tests to an absolute or relative target for their information functions, classical test assembly, test equating problems, item matching, test splitting, simultaneous assembly of multiple tests, tests with item sets, multidimensional tests, and adaptive test assembly. Two separate chapters are devoted to the questions of how to design item banks for optimal support of programs with fixed and adaptive tests. Linear Models for Optimal Test Design, which does not require any specific mathematical background, has been written to be a helpful resource on the desk of any test specialist.

From the reviews:

???Test??? in this book refers to educational and psychological testing, a field which has advanced dramatically in recent decades. ??? The technical level is kept to a minimum, using little beyond ???high school algebra??? and linear programming. ??? I would like to think that this superb comprehensive synthesis of the field by one of its leading proponents will serve to broaden awareness of what can nowadays be achieved using such tools. (D.J. Hand, Short Book Reviews, Vol. 26 (1), 2006)

.,.Linear Models for Optimal Test Design is a succinctly written and comprehensive bookon optimal test assembly that can serve as a reference book and even as a textbook for courses on test construction. It is a book taht focuses on the author's area of research, yet treats the contributions of others. The result is one of the most useful textbooks available in the field of educational testing fairly. (Jeffery Douglas for the Journal of the American Statistical Assocation, December 2006)

"Synopsis" by , Wim van der Linden was just given a lifetime achievement award by the National Council on Measurement in Education. There is no one more prominent in the area of educational testing. There are hundreds of computer-based credentialing exams in areas such as accounting, real estate, nursing, and securities, as well as the well-known admissions exams for college, graduate school, medical school, and law school - there is great need on the theory of testing. This book presents the statistical theory and practice behind constructing good tests e.g., how is the first test item selected, how are the next items selected, and when do you have enough items.
"Synopsis" by , New developments to test specialists working at testing agencies as well as a text for students in classes on test theory, test construction, or applied statistics.
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