Item response theory (IRT) is a latent variable modeling approach used to minimize bias and optimize the measurement power of educational and psychological tests and other psychometric applications. Designed for researchers, psychometric professionals, and advanced students, this book clearly presents both the qhow-toq and the qwhyq of IRT. It describes simple and more complex IRT models and shows how they are applied with the help of widely available software packages. Chapters follow a consistent format and build sequentially, taking the reader from model development through the fit analysis and interpretation phases that one would perform in practice. The use of common empirical data sets across the chapters facilitates understanding of the various models and how they relate to one another.Command File for the MUlTIlOG PC Model Calibration example MULTILOG for Windows 7.00.2327.2 ALIKE, 8 ITEMS, PC a titlea agt;PROBLEM RANDOM, a Problem description line INDIVIDUAL, DATA = a#39;Alike.DATa#39;, NITEMS = 8, NGROUPSanbsp;...
|Title||:||The Theory and Practice of Item Response Theory|
|Author||:||R. J. de Ayala|
|Publisher||:||Guilford Publications - 2013-10-15|