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Item Response Theory
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, 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.
The Basics of Item Response Theory Using R
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 computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather t...
Letters
Letters and typescript copies of letters from Newton D. Baker to his relatives and political associates, including 211 letters to his wife Elizabeth Baker (1902-1937), 44 letters to his brother, Frank Baker, and sister-in-law, Harriet Baker (1915-1936), three bound volumes of typescript copies of letters to his children, Elizabeth, Margaret, and Newton III (1918-1937), and 32 letters from notable political figures.
Item Response Theory
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In Memoriam
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