5 edition of **The basics of item response theory** found in the catalog.

- 46 Want to read
- 29 Currently reading

Published
**2001**
by ERIC Clearinghouse on Assessment and Evaluation in [College Park, Md.]
.

Written in English

- Examinations -- Evaluation -- Data processing.,
- Examinations -- Interpretation -- Data processing.,
- Multiple-choice examinations -- Evaluation -- Data processing.,
- Item response theory.,
- Apple II (Computer) -- Programming.

**Edition Notes**

Includes bibliographic references (p. 169-173) and index.

Statement | Frank B. Baker. |

Classifications | |
---|---|

LC Classifications | LB3060.55. B35 2001 |

The Physical Object | |

Pagination | vi, 176 p. : |

Number of Pages | 176 |

ID Numbers | |

Open Library | OL3658456M |

ISBN 10 | 1886047030 |

LC Control Number | 2002514501 |

Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes. Classic and emerging IRT methods and applications that are revolutionizing psychological measurement, particularly for health assessments used to demonstrate treatment . It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather than presenting the full scope of item response theory, this textbook is .

This is a highly accessible, comprehensive introduction to item response theory (IRT) models and their use in various aspects of assessment/testing. The book employs a mixture of graphics and simulated data sets to ease the reader into the material and covers the basics required to . The Basics of Item Response Theory. ERIC Clearinghouse on Assessment and Evaluation, University of Maryland, College Park, MD. Software download. This web page will enable you to down load the software package that accompanies the Basics of Item Response Theory book. The programs are designed to run under WINDOWS 95 +.

The item response function of the 1PL model Each IRT model predicts the probability that a certain person will give a certain response to a certain item. Now, people can have di erent levels of ability, and items can di er in many respects — most importantly, some are easier and some are more di Size: KB. – If “participant wealth” > “item cost”, we should see a positive item response •‘Level’ of positive item response tells us about where on the scale the participant lies, e.g. – No positive responses (i.e. can’t afford even a coffee), very low disposable wealth – All positive responses (i.e. can afford a Learjet) – veryFile Size: KB.

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This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated Cited by: 8.

The Basics of Item Response Theory 1st Edition by Frank B. Baker (Author)Cited by: The Basics of Item Response Theory. Second Edition. Baker, Frank B. This book is combined with a Web site to allow the reader The basics of item response theory book acquire the basic concepts of item response theory without becoming enmeshed in the underlying mathematical and computational by: By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating and computerized-adaptive testing/5.

The Basics of Item Response Theory Using R Frank B. Baker, Seock-Ho Kim (auth.) This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory.

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.

By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating and computerized-adaptive testing.

The main feature of this page is Frank Baker's exceptional book, The Basics of Item Response Theory, which we have made available, in its entirely, on-line, at no cost. This delightful book will allow you to acquire the basic concepts of the theory without becoming enmeshed in the underlying mathematics.

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 underlying statistical calculations were quite complex.

Introduction to Item Response Theory. 2 Focus of this session Classical Test Theory (CTT). • The focus of this session is on Item Response Theory (IRT) and how IRT is used at MDE. 3 Basic Differences between CTT and IRT • Focus on item performance (IRT) versus.

Item response theory (IRT) was ﬁrst proposed in the ﬁeld of psychometrics for the purpose of ability assessment. It is widely used in education to calibrate and evaluate items in tests, questionnaires, and other instruments and to score subjects on their abilities, attitudes, or other latent traits.

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory.

Item response theory has become one of the most powerful tools used in. Item response theory. In psychometrics, item response theory (IRT) (also known as latent trait theory, strong true score theory, or modern mental test theory) is a paradigm for the design, analysis, and scoring of tests, questionnaires, and similar instruments measuring abilities, attitudes, or other variables.

The presentation explains basic notion of Item Response Theory without introducing jargons. by mshahxaviers in Types > Instruction manuals, item response theory, and item analysis5/5(1).

By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating and computerized-adaptive testing.

The book also includes a thorough discussion of. Item Response Theory. Description: This book develops an intuitive understanding of IRT principles through the use of graphical displays and analogies to familiar psychological principles.

It surveys contemporary IRT models, estimation methods, and computer programs. The Basics of Item Response Theory Using R Combines clearly written text and succinct R code.

Utilizes a building-block approach from simple to complex, enabling readers to develop a clinical feel for item response theory and how its concepts are interrelated. Includes downloadable R. 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. The first edition of this book was designed to provide the reader access to the basic concepts of item response theory freed of the tedious underlying calculations through an APPLE II computer program.

Readers of this book may now find a new version. The “New Psychometrics” – Item Response Theory Classical test theory is concerned with the reliability of a test and assumes that the items within the test are sampled at random from a domain of relevant items.

Reliability is seen as a characteristic of the test and of the variance of the trait it measures. This book develops an intuitive understanding of IRT principles through the use of graphical displays and analogies to familiar psychological principles.

It surveys contemporary IRT models, estimation methods, and computer programs. Polytomous IRT models are given central coverage since many psychological tests use rating scales.

Ideal for clinical, industrial. Item response theory is based upon the individual items of a test, and up to this point the chapters have dealt with the items one at a time. Now, attention will be given to dealing with all the.Additional Physical Format: Online version: Baker, Frank B.

Basics of item response theory. Portsmouth, N.H.: Heinemann, © (OCoLC) Document Type.