Introduction to Item Response Theory Models and Applications

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3PL Model
A01=James Carlson
Applications
Author_James Carlson
Carlson
Category=GPS
Category=JMBT
Classical Test Theory Models
Dichotomous Items
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Generalized Partial Credit Model
GR Model
Introduction
IRT Analysis
IRT Model
IRT True Score
Item
Item Parameters
Item Response Data
Item Response Theory
item response theory models
Lower Asymptote Parameters
MIRT
MIRT Model
Mixture IRT Model
MML Estimate
Models
Multidimensional IRT
Multidimensional Item Response Theory Models
multiple-point polytomous scales
Number Correct Score
Polytomous Items
Proficiency Dimensions
Proficiency Estimate
Response
soil grounding
Test Taker
Test Taker's Proficiency
Test Taker’s Proficiency
Theory
Von Davier

Product details

  • ISBN 9780367476922
  • Weight: 739g
  • Dimensions: 178 x 254mm
  • Publication Date: 13 Oct 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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 obtain a solid grounding in IRT.

Written in an easily accessible way that assumes little mathematical knowledge, Carlson presents detailed descriptions of several commonly used IRT models, including those for items scored on a two-point (dichotomous) scale such as correct/incorrect, and those scored on multiple-point (polytomous) scales, such as degrees of correctness. One chapter describes a model in-depth and is followed by a chapter of instructions and illustrations showing how to apply the models to the reader’s own work.

This book is an essential text for instructors and higher level undergraduate and postgraduate students of statistics, psychometrics, and measurement theory across the behavioral and social sciences, as well as testing professionals.

James E. Carlson received his Ph.D. from the University of Alberta, Canada, specializing in applied statistics. He was professor of education at the universities of Pittsburgh, USA, and Ottawa, Canada. He also held psychometric positions at testing organizations and the National Assessment Governing Board, U. S. Department of Education. He is a former editor of the Journal of Educational Measurement and has authored two book chapters and a number of journal articles and research reports.

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