1 edition of **Item response theory** found in the catalog.

Item response theory

Christine DeMars

- 273 Want to read
- 7 Currently reading

Published
**2010**
by Oxford University Press in Oxford, New York
.

Written in

**Edition Notes**

Includes bibliographical references and index.

Statement | Christine DeMars |

Series | Series in understanding statistics. Measurement, Series in understanding statistics |

Classifications | |
---|---|

LC Classifications | BF39.2.I84 D46 2010 |

The Physical Object | |

Pagination | 131 p. : |

Number of Pages | 131 |

ID Numbers | |

Open Library | OL24487621M |

ISBN 10 | 0195377036 |

ISBN 10 | 9780195377033 |

LC Control Number | 2009030941 |

OCLC/WorldCa | 429474027 |

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and p. Provides students with hands-on calculations: The book offers transparency of method that students will appreciate. Help students more easily find structure among a subset of data: The author shows how ordinal item response theory can be the most efficient method for working with scales with only a few items. Compares this method to models for classical test theory such as factor analysis and.

for item response theory. His work with the ETS had impacts on the Law School Admissions Test, the test of English as a Foreign Language, and the Graduate Record exam. Additionally, he coauthored a book with Melvin R. Novick on test theory, which was an expansion of his dissertation. ETS R&D Scientific and Policy Contributions Series. In the eighth report in the series, James Carlson and Matthias von Davier look at the role Item response theory (IRT) models, in their many forms, are undoubtedly the most widely used models in large-scale operational assessment programs. They .

Jan 16, · This article reviews the procedure for item response theory (PROC IRT) procedure in SAS/STAT to conduct item response theory (IRT) analyses of dichotomous and polytomous datasets that are unidimensional or justeetredehors.com by: 2. This book is combined with a Web site to allow the reader to acquire the basic concepts of item response theory without becoming enmeshed in the underlying mathematical and computational complexities. The first edition, with its accompanying software, was designed to give the reader access to the basic concepts of item response theory without having to do the tedious justeetredehors.com by:

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It tries to avoid using mathematical equations. The book actually goes into a lot of depth in statistics. But, it is difficult to understand especially without any formulas. It seems like the author keeps on quoting statistical facts.

I would recommend using a real statistical book Cited by: Jun 26, · The book is a thorough review of parameter estimation in most important item response theory models. For me, the outstanding part is the one that clearly distinguish the Rasch family from the IRT many other models/5(6).

theory of how people respond to items and is known as Item Response Theory or justeetredehors.com the past twenty years there has been explosive growth in programs that can do IRT, and within R there are at least four very powerful packages: eRm (Mair and Hatzinger, ), ltm Rizopoulos (), lme4 (Doran et al., ) and MiscPsycho,(Doran, Item Response Theory: Parameter Estimation Techniques (2nd ed.).

Marcel Dekker. ISBN This book describes various item response theory models and furnishes detailed explanations of algorithms that can be used to estimate the item and ability parameters. Portions of the book are available online as limited preview at Google Books.

When Frank Baker wrote his classic The Basics of Item Response Theory inthe field of educational assessment was dominated by classical test theory based on test scores. Item response theory was an upstart whose popular acceptance lagged in part because the.

Without the work of these three individuals, the level of development of item response theory would not be where it is today. The author is indebted to Mr.

Seavey of Heinemann Educational Books for first suggesting that I do a small book on item response theory, which resulted in the first edition of this book.

Tailored Testing. Using item response theory, a measurer can estimate a true score that is not based on the number of correct answers, but, rather, on the difficulty of the answered questions. A function of tailored testing is computerized adaptive testing, which adapts to the examinee's level of ability.

Pioneers of the item response theory. Item Response Theory. Item Response Theory (aka IRT) is also sometimes called latent trait theory. This is a modern test theory (as opposed to classical test theory). It is not the only modern test theory, but it is the most popular one and is currently an area of active research.

Item response theory has become an essential component in the toolkit of every researcher in the behavioral sciences. It provides a powerful means to study individual responses to a variety of stimuli, and the methodology has been extended and developed to cover many different models of interaction.

This volume presents a wide-ranging handbook to item response theory - and its applications to 5/5(1). Dec 31, · Item Response Theory book. Read reviews from world’s largest community for readers. In the decade of the s, item response theory became the dominant /5(2). Item Response Theory: What It Is and How You Can Use the IRT Procedure to Apply It Xinming An and Yiu-Fai Yung, SAS Institute Inc.

ABSTRACT Item response theory (IRT) is concerned with accurate test scoring and development of test items. You design test items to measure various kinds of abilities (such as math ability), traits (such as.

Item Response Theory book. Read reviews from world’s largest community for readers. This is a title in our Understanding Statistics series, which is desi /5(12). What is Item Response Theory. It’s a theory of measurement, more precisely a psychometric theory. – ‘Psycho’ – ‘metric’.

•From the Greek for ‘. Sep 16, · Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas, medical research, and business as well.

Using R for Item Response Theory Model Applications is a practical guide for students, instructors, practitioners, and applied researchers who want to learn how to Author: Insu Paek, Ki Cole.

Oct 18, · Lord’s book, Applications of Item Response Theory to Practical Testing Problems, presented much of the current IRT theory in language easily understood by many practitioners.

It covered basic concepts, comparison to CTT methods, relative efficiency, optimal number of choices per item, flexilevel tests, multistage tests, tailored testing Cited by: 6. Jul 20, · Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models.

Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameterCited by: Item response theory (IRT) is a latent variable modeling approach used to minimize bias and optimize the measurement power of educational and psychological tests and other psychometric justeetredehors.comed for researchers, psychometric professionals, and advanced students, this book 5/5(1).

A Course in Item Response Theory and Modeling with Stata, by Tenko Raykov and George A. Marcoulides, is a comprehensive introduction to the concepts of IRT that includes numerous examples using Stata's powerful suite of IRT commands.

This book is a great introduction to both the R program for item response theory (IRT) analysis and IRT modeling itself for readers who want a firm grasp on both skills. This book is a helpful manual for understanding IRT concepts and background concisely and for easily learning the freely accessible R programs for doing IRT analyses.

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Aug 05, · Statistics Definitions > Item Response Theory. What is Item Response Theory? Item response Theory(IRT) is a way to analyze responses to tests or questionnaires with the goal of improving measurement accuracy and justeetredehors.com you want your test to actually measure what it is supposed to measure (i.e.

mathematical ability, a student’s reading ability or historical knowledge), IRT is one way.Print book: EnglishView all 1 Some Background to Item Response Theory.- 2 Assumptions of Item Response Theory.- 3 Item Response Models.- 4 Ability Scales.- 5 Estimation of Ability.- 6 Information Function and Its Application.- 7 Estimation of Item and Ability Parameters.- 8 Approaches for Addressing Model-Data Fit.- 9 Examples of Model-Data.In fact, the term "Item Characteristic Curve," which is one of the main IRT concepts, can be attributed to Ledyard Tucker in Despite these early research efforts, interest in item response theory lay dormant until the late s and took a backseat to the emerging development of .