Categorization in Social Psychology offers a major introduction to the study of categorization, looking especially at links between categorization in cognitive and social psychology. In a highly readable and accessible style, the author covers all the main approaches to categorization in social psychology that a student might come across, ......
A Practical Introduction to Categorization Analysis
`This is a very fine introduction to the tradition and practice of categorisation analysis, a method for analysing language derived from the work of Harvey Sacks. Georgia Lepper conveys with great effectiveness and simplicity the basic principles of this method, and enables the reader to apply it in practice. Through a series of practical ......
This book gives a self-contained account of applications of category theory to the theory of representations of algebras. Its main focus is on 2-categorical techniques, including 2-categorical covering theory. The book has few prerequisites beyond linear algebra and elementary ring theory, but familiarity with the basics of representations of ......
This volume addresses the subject of categories: What are they? How are they used in speaking and thinking? What role do they play in our moral deliberations? Why are there different sorts of categories? And are categories independent of our thinking and speaking, giving objective form to the world we aim to think and speak about? These and other ......
This volume addresses the subject of categories: What are they? How are they used in speaking and thinking? What role do they play in our moral deliberations? Why are there different sorts of categories? And are categories independent of our thinking and speaking, giving objective form to the world we aim to think and speak about? These and other ......
This book is the third Proceedings of the Southeastern Lie Theory Workshop Series covering years 2015-21. During this time five workshops on different aspects of Lie theory were held at North Carolina State University in October 2015; University of Virginia in May 2016; University of Georgia in June 2018; Louisiana State University in May 2019; ......
Multivariate categorical outcomes, such as Likert scale responses and disease diagnoses, require specialized structural equation modeling (SEM) software to be analyzed properly. Providing needed skills for applied researchers and graduate students, this book leads readers from regression analysis with categorical outcomes to complex SEMs with ......
Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. It offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication.
These four volumes provide a collection of key publications on categorical data analysis, carefully put together so that the reader can easily navigate, understand and put in context the major concepts and methods of analysing categorical data. The major work opens with a series of papers that address general issues in CDA, and progresses with publications which follow a logical movement from the statistics for analysing a single categorical variable, to those for studying the relationships between two and more categorical variables, and to categorical variables in some of more advanced methods, such as latent class analysis. Edited and introduced by a leading voice in the field, this collection helpfully includes both theoretical and applied items on its theme, in order to help the reader understand the methods and use them in empirical research. Volume 1: Basic Concepts and Principles Volume 2: Statistical Methods for Analysing Associations Volume 3: Log-Linear and Logistic Regression Models Volume 4: Advanced and Graphical Statistical Methods
