Description
Book SynopsisDrawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all major item response models. This first volume in a three-volume set covers many model developments that have occurred in item response theory (IRT) during the last 20 years. It describes models for different response formats or response processes, the need of deeper parameterization due to a multilevel or hierarchical structure of the response data, and other extensions and insights.
In Volume One, all chapters have a common format with each chapter focusing on one family of models or modeling approach. An introductory section in every chapter includes some history of the model and a motivation of its relevance. Subsequent sections present the model more formally, treat the estimation of its parameters, show how to evaluate its fit to empirical data, illustrate the use of the model through an empirical
Trade Review
"Handbook I is likely to be useful for undergraduate or graduate students who have an interest in pursuing quantitative research in educational and psychological testing, especially with datasets that contain multiple discrete outcomes. Master- and doctoral-level students seeking dissertation topics and doing literature reviews will find Handbook I a valuable resource."
~Edward H. Ip, Wake Forest School of Medicine, Journal of the American Statistical Association
"Based on scores in a battery of questions in Psychometrics, IRT is a paradigm for designing, analyzing, and interpreting the individual's abilities. Volume one describes models that are used in IRT. Basic knowledge of calculus and statistical theory are necessary to understand the contents of volume one. The references are thorough and up-to-date…I enjoyed reading this book. I recommend this book to psychologists, sociologists, statistics and computing professionals."
~Journal of Statistical Computation and Simulation
"Handbook I is likely to be useful for undergraduate or graduate students who have an interest in pursuing quantitative research in educational and psychological testing, especially with datasets that contain multiple discrete outcomes. Master- and doctoral-level students seeking dissertation topics and doing literature reviews will find Handbook I a valuable resource."
~Edward H. Ip, Wake Forest School of Medicine, Journal of the American Statistical Association
"Based on scores in a battery of questions in Psychometrics, IRT is a paradigm for designing, analyzing, and interpreting the individual's abilities. Volume one describes models that are used in IRT. Basic knowledge of calculus and statistical theory are necessary to understand the contents of volume one. The references are thorough and up-to-date…I enjoyed reading this book. I recommend this book to psychologists, sociologists, statistics and computing professionals."
~Journal of Statistical Computation and Simulation
"This handbook presents a huge compendium of models which could be innovative even for specialists in IRT and related applied research. It can definitely be useful for lecturers and graduate students, researchers and practitioners in applied psycho-sociological projects. Actually, it can be useful in much wider than just IRT related area of research, because it describes a large variety of statistical ideas and methods valuable in estimations for many other problems as well."
~Stan Lipovetsky in Technometrics, August 2021
Table of ContentsDichotomous Models. Nominal and Ordinal Models. Multidimensional and Multicomponent Models. Models for Response Times. Nonparametric Models. Models for Nonmonotone Items. Hierarchical Response Models. Generalized Modeling Approaches.
