Graphical displays that researchers can employ as an integral part of the data analysis process are frequently more revealing than traditional, numerical summary statistics. Providing strategies for examining data more effectively, this volume focuses on both univariate and bivariate methods.
Graphical displays that researchers can employ as an integral part of the data analysis process are frequently more revealing than traditional, numeri...
This volume shows how odds ratios can be used as a framework for understanding log-linear models. Moving systematically from the paradigmatic 2x2 case to more complicated cases, the author defines the odds ratio and demonstrates how it is a measure of association for tabular analysis.
This volume shows how odds ratios can be used as a framework for understanding log-linear models. Moving systematically from the paradigmatic 2x2 case...
This book explores a variety of graphical displays that are useful for visualizing multivariate data. The basic problem involves representing information that varies along several dimensions when the display medium is inherently two-dimensional. In order to address this problem, Jacoby introduces and explores the concept of a 'data space'.
This book explores a variety of graphical displays that are useful for visualizing multivariate data. The basic problem involves representing informat...
In the QUANTITATIVE APPLICATIONS IN THE SOCIAL SCIENCES series, an introduction to correspondence analysis which outlines the history and logic behind the technique. It explains the analysis of large contingency tables and survey data and compares correspondence analysis with log linear models.
In the QUANTITATIVE APPLICATIONS IN THE SOCIAL SCIENCES series, an introduction to correspondence analysis which outlines the history and logic behind...
Filled with well-chosen empirical examples to teach the technique, this book provides a thorough guide to latent class scaling models for binary response variables. Substantive illustrations include a survey on academic cheating, children's mastery of spatial tasks, medical diagnosis of lung disease, attitudes toward the Army and behavior during role conflict. The computer programs for latent class analysis are carefully reviewed and a website is offered for keeping abreast of the latest developments. This book will be of particular interest to those doing detailed scale analysis in...
Filled with well-chosen empirical examples to teach the technique, this book provides a thorough guide to latent class scaling models for binary re...
Groups - organizations, corporations and governments - have formal rules for the allocation of their resources and in democratic societies the decisions about allocation are generally made by simple majority voting. But does majority rule always improve social well-being? Could it sometimes lead to collective irrationality? In this thought-provoking book, Paul E Johnson considers the key questions and concepts in social choice theory.
Groups - organizations, corporations and governments - have formal rules for the allocation of their resources and in democratic societies the decisio...
This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modeling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two...
This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author deta...
