Opening book details…
Can I read Item Response Theory: Parameter Estimation Techniques (Statistics: A Series of Textbooks and Monographs) on EtoBox?
Item Response Theory: Parameter Estimation Techniques (Statistics: A Series of Textbooks and Monographs) by Frank B. Baker is a nonfiction available to read on EtoBox.
What is Item Response Theory: Parameter Estimation Techniques (Statistics: A Series of Textbooks and Monographs) about?
This book describes the most recently developed item response theory (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, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to build a clear understanding of the computational demands and challenges of IRT estimation procedures.
Who reads Item Response Theory: Parameter Estimation Techniques (Statistics: A Series of Textbooks and Monographs)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Frank B. Baker
- Publisher
- CRC Press
- Published
- 1992
- Language
- EN
- ISBN
- 9780824786366
- Category
- nonfiction
Other editions & translations
More by Frank B. Baker
Browse all works by Frank B. Baker
Similar books
- Handbook of Item Response Theory - volume three - Applications — Wim J. van der Linden, editor (2018)
- Essays on Item Response Theory (Lecture Notes in Statistics (157)) — Anne Boomsma, Marijtje A.J. van Duijn, Tom A.B. Snijders, editors (2012)
- Using R for Item Response Theory Model Applications — Cole, Ki; Paek, Insu (2019)
- Item Response Theory — R. Darrell Bock; Robert D. Gibbons; & Robert D. Gibbons (2021)
- The Basics of Item Response Theory Using R (Statistics for Social and Behavioral Sciences) — Baker, Frank B., Kim, Seock-Ho (2017)
- A Course in Item Response Theory and Modeling with Stata — George A. Marcoulides Tenko Raykov (2018)