TY - BOOK ID - 25754603 TI - Ordinal data modeling AU - Johnson, Valen E. AU - Albert, James H. PY - 1999 SN - 0387987185 9786610010561 1280010568 0387227024 9780387987187 PB - New York (N.Y.): Springer, DB - UniCat KW - Numbers, Ordinal KW - Policy sciences KW - Social sciences KW - 519.22 KW - Policy-making KW - Policymaking KW - Public policy management KW - Ordinal numbers KW - Number theory KW - Proof theory KW - Set theory KW - 519.22 Statistical theory. Statistical models. Mathematical statistics in general KW - Statistical theory. Statistical models. Mathematical statistics in general KW - Statistical methods KW - Mathematical statistics KW - Statistics. KW - Statistics for Social Sciences, Humanities, Law. KW - Statistics . KW - Statistical analysis KW - Statistical data KW - Statistical science KW - Mathematics KW - Econometrics KW - Statistical methods. KW - Social sciences - Statistical methods KW - Policy sciences - Statistical methods UR - https://www.unicat.be/uniCat?func=search&query=sysid:25754603 AB - Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. Written for graduate students and researchers in the statistical and social sciences, this book describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses, and for exposing the close connection between these models. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface. ER -