Statistical Methods for the Social Sciences, Books a la Carte Edition (4th Edition)

(Assuming no prior knowledge of statistics, these authors ...)

Assuming no prior knowledge of statistics, these authors combine their varied backgrounds-one a statistician, the other a social scientist-to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Fourth Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.

http://www.amazon.com/gp/product/0321656474/?tag=2022091-20

An Introduction to Categorical Data Analysis: 1st (First) Edition

http://www.amazon.com/gp/product/B00866PKBO/?tag=2022091-20

An Introduction to Categorical Data Analysis

(Praise for the First Edition "This is a superb text fro...)

Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . this 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 introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses. This Second Edition features: • Two new chapters on the methods for clustered data, with an emphasis on generalized estimating equations (GEE) and random effects models • A unified perspective based on generalized linear models • An emphasis on logistic regression modeling • An appendix that demonstrates the use of SAS(r) for all methods • An entertaining historical perspective on the development of the methods • Specialized methods for ordinal data, small samples, multicategory data, and matched pairs • More than 100 analyses of real data sets and nearly 300 exercises Written in an applied, nontechnical style, the book illustrates methods using a wide variety of real data, including medical clinical trials, drug use by teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Second Edition is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control.

http://www.amazon.com/gp/product/0471226181/?tag=2022091-20

An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Alan Agresti (1996-02-08)

http://www.amazon.com/gp/product/B01NCQB6AA/?tag=2022091-20

Categorical Data Analysis (Wiley Series in Probability and Statistics) 2nd (second) edition

(Will be shipped from US. Used books may not include compa...)

Will be shipped from US. Used books may not include companion materials, may have some shelf wear, may contain highlighting/notes, may not include CDs or access codes. 100% money back guarantee.

http://www.amazon.com/gp/product/B006R8FYDC/?tag=2022091-20

Statistical Methods for the Social Sciences (4th Edition)

( The book presents an introduction to statistical method...)

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.

http://www.amazon.com/gp/product/0130272957/?tag=2022091-20

Categorical Data Analysis by Alan Agresti (2006-08-06)

http://www.amazon.com/gp/product/B01K9C7XGC/?tag=2022091-20

Statistical Methods for the Social Sciences (5th Edition)

( For courses in Statistical Methods for the Social Scien...)

For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts  Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition gives you examples and exercises with a variety of “real data.” It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics–often a stumbling block for students–while avoiding reliance on an overly simplistic recipe-based approach to statistics.

http://www.amazon.com/gp/product/013450710X/?tag=2022091-20

Categorical Data Analysis Using the SAS System, Second Edition + Categorical Data Analysis, Second Edition Set

(This set contains 9780471224242 Categorical Data Analysis...)

This set contains 9780471224242 Categorical Data Analysis Using the SAS System, Second Edition by Maura E. Stokes, Charles S. Davis, Gary G. Koch and Categorical Data Analysis, Second Edition by Alan Agresti.

http://www.amazon.com/gp/product/0470388064/?tag=2022091-20

Categorical Data Analysis (Wiley Series in Probability and Statistics) by Alan Agresti (2002-07-22)

http://www.amazon.com/gp/product/B01K2IQ9SQ/?tag=2022091-20

A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition

(This set contains: 9780471469445 A Step-by-Step Approach ...)

This set contains: 9780471469445 A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, Second Edition by Norm O'Rourke, Larry Hatcher, Edward J. Stepanski, SAS Institute Inc and 9780471226185 An Introduction to Categorical Data Analysis, Second Edition by Alan Agresti.

http://www.amazon.com/gp/product/0470388005/?tag=2022091-20

Social science statistical methods (4th Edition) Paperback(Chinese Edition)

(Paperback. Pub Date: 2011 11 2006 Language: Chinese in Pu...)

Paperback. Pub Date: 2011 11 2006 Language: Chinese in Publisher: Publishing House of Electronics Industry social science statistical methods (4th Edition) practice-oriented. starting from the instance. and to clarify social science statistical methods. dedicated to examples and statistics software integration. The main contents include sampling and measurement. descriptive statistics. probability distributions. statistical inference: estimation. statistical inference: significance test. the two groups. the association between categorical variables analysis. linear regression and correlation. multiple relationships Overview. multiple regression analysis and correlation analysis. multiple group comparison: analysis of variance (ANOVA). the combination regression analysis and analysis of variance: quantitative and categorical predictors. build multiple regression models. logis...

http://www.amazon.com/gp/product/7121142198/?tag=2022091-20

Statistical Methods for the Social Sciences, 3rd. Ed., INSTRUCTOR'S SOLUTIONS MANUAL

(Statistical Methods for the Social Sciences, 3rd. Ed., IN...)

Statistical Methods for the Social Sciences, 3rd. Ed., INSTRUCTOR'S SOLUTIONS MANUAL

http://www.amazon.com/gp/product/B001F3VDIO/?tag=2022091-20

Categorical Data Analysis

( Praise for the Second Edition "A must-have book for an...)

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 methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. This edition also features: • An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models • Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections introducing the Bayesian approach for methods in that chapter • More than 100 analyses of data sets and over 600 exercises • Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources • A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutions Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.

http://www.amazon.com/gp/product/0470463635/?tag=2022091-20

Categorical Data Analysis (Wiley Series in Probability and Statistics)

(Amstat News asked three review editors to rate their top ...)

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference "A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis." –Statistics in Medicine on Categorical Data Analysis, First Edition The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic Categorical Data Analysis offers a comprehensive introduction to the most important methods for categorical data analysis. Designed for statisticians and biostatisticians as well as scientists and graduate students practicing statistics, Categorical Data Analysis, Second Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. Adding to the value in the new edition is coverage of: • Three new chapters on methods for repeated measurement and other forms of clustered categorical data, including marginal models and associated generalized estimating equations (GEE) methods, and mixed models with random effects • Stronger emphasis on logistic regression modeling of binary and multicategory data • An appendix showing the use of SAS for conducting nearly all analyses in the book • Prescriptions for how ordinal variables should be treated differently than nominal variables • Discussion of exact small-sample procedures • More than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercises • An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

http://www.amazon.com/gp/product/0471360937/?tag=2022091-20

Statistical Methods for the Social Sciences 3rd Edition Chinese Edition

(Statistical Methods for the Social Sciences 3rd Edition)

Statistical Methods for the Social Sciences 3rd Edition

http://www.amazon.com/gp/product/9571129593/?tag=2022091-20

Statistical Methods for the Social Sciences (3rd Edition)

( Assuming no prior knowledge of statistics, these autho...)

Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.

http://www.amazon.com/gp/product/0135265266/?tag=2022091-20

A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition by Norm O'Rourke (2008-03-14)

http://www.amazon.com/gp/product/B01FGNWCEM/?tag=2022091-20

Analysis of Ordinal Categorical Data

(Statistical science’s first coordinated manual of methods...)

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

http://www.amazon.com/gp/product/0470082895/?tag=2022091-20