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Categorical Data Analysis
Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." —Statistics in Medicine "It is a total delight reading this book." —Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference." —Technometrics The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis. Categorical Data Analysis, Third Edition summarizes the latest me...
An Introduction to Categorical Data Analysis
A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, ...
Statistical Methods for the Social Sciences: Pearson New International Edition
The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). The book contains sufficient material for a two-semester sequence of courses. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. Datasets and other resources (where applicable) for this book are available here.
The Collected Works of Alan Agresti
This three book set features: An Introduction to Categorical Data Analysis, Second Edition (978-0-471-22618-5) , Categorical Data Analysis, Second Edition (978-0-471-36093-3) , and Analysis of Ordinal Categorical Data (978-0-471-89055-3).
Analysis of Ordinal Categorical Data
Basic results for cross-classification tables. Cross-classification tables. Chi-squared statistics. Partitions fo chi-squared. Odds ratios. Measuring association. Longlinear models for two dimensions. Notes. Complements. Associations in multidimensional tables. Partial association. Association and interation structure. Loglinear models for three dimensions. Longlinear models for higher dimensions. Notes. Complements. Data analysis using loglimear models. Fitting models for three variables. Comparison fo models. Model-building. Interative proportional fitting. Loglimear models and ordinal information. Notes. Complements. Loglinear models for ordinal variables. Loglimear model for ordinal-ordi...
Analysing Intersectionality
How can we analyse the intersectional effects of multiple factors on experiences of disenfranchisement? This book equips you with the methodological tools to uncover new insights. First providing a critical examination of long-standing methodologies in intersectionality research, it then shines a spotlight on analytical techniques such as qualitative comparative analysis, multilevel models, mediation and moderation, and mixed methods designs. With chapter objectives, real-world research examples, further reading and reflective questions, it will equip you with the methodological tools to understand intersectionality in specific social settings. The book: · Bridges the gap between intersectionality as a theory and an empirical research practice. · Extends existing approaches to analysing intersectionality in a traditionally qualitative field. · Inspires creativity and celebrates a variety of effective methods for studying intersectionality. Innovative and thought-provoking, this book is ideal for any student or researcher looking to harness the power of empirical evidence to explore inequality and injustice.
Tutorials in Biostatistics, Statistical Methods in Clinical Studies
The Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the first of two volumes presenting the best tutorials published in SIM, focusing on statistical methods in clinical studies. Topics include the design and analysis of clinical trials, epidemiology, survival analysis, and data monitoring. Each tutorial is focused on a medical problem, has been fully peer-reviewed and edited, and is authored by leading researchers in biostatistics. Many articles include an appendix on the latest developments since publication in the journal and additional references. This will appeal to statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists and geneticists. It will also appeal to graduate students of biostatistics.
An Introduction to Categorical Data Analysis
Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." —Short Book Reviews "Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing, and sports, to name a few." —Journal of Quality Technology "Alan Agresti has written another brilliant account of the analysis of categorical data." —The Statistician The use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introdu...
The SAGE Encyclopedia of Research Design
The SAGE Encyclopedia of Research Design maps out how one makes decisions about research design, interprets data, and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results. From A-to-Z, this four-volume work covers the spectrum of research design strategies and topics including, among other things: fundamental research design principles, ethics in the research process, quantitative versus qualitative and mixed-method designs, completely randomized designs, multiple comparison tests, diagnosing agreement between data and models, fundamental assumptions in analysis of variance, factorial treatment designs, complete a...
International Bibliography of Sociology
IBSS is the essential tool for librarians, university departments, research institutions and any public or private institution whose work requires access to up-to-date and comprehensive knowledge on the social sciences.
