Overview
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.
Full Product Details
Author: Wim J. van der Linden (Professor Emeritus of Measurement and Data Analysis, University of Twente)
Publisher: Taylor & Francis Inc
Imprint: CRC Press Inc
Volume: 21
Dimensions:
Width: 17.80cm
, Height: 3.00cm
, Length: 25.40cm
Weight: 0.960kg
ISBN: 9781466514324
ISBN 10: 1466514329
Pages: 454
Publication Date: 11 February 2016
Audience:
College/higher education
,
Professional and scholarly
,
Undergraduate
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
Based on scores in a battery of questions in Psychometrics, IRT is a paradigm for designing, analyzing, and interpreting the individual's abilities. Volume two covers mainly probability distributions, models with intentional and nuisance parameters, information criteria, and model identification issues, among others. To read through and comprehend the contents of this volume two, one needs calculus and mathematical statistics background. There are 20 well written chapters covering a range of topics...written by experts from all continents. The references in the chapters are exhaustive and up-to-date. I enjoyed reading this book. I recommend this book highly to economists, psychometricians, sociologists, marketing researchers, statistics and computing professionals. ~Journal of Statistical Computation and Simulation
Author Information
Wim J. van der Linden is a distinguished scientist and director of research innovation at Pacific Metrics Corporation. He is also a professor emeritus of measurement and data analysis at the University of Twente. He is a past president of the Psychometric Society and National Council on Measurement in Education (NCME) and a recipient of career achievement awards from NCME, Association of Test Publishers (ATP), and American Educational Research Association (AERA). His research interests include test theory, computerized adaptive testing, optimal test assembly, parameter linking, test equating, and response-time modeling as well as decision theory and its application to problems of educational decision making. Dr. van der Linden earned a PhD in psychometrics from the University of Amsterdam.
