Why do French voters vote the way they do? In this book, leading international scholars examine this question from many different angles. Special attention is given to the 2002 national elections, when right-wing extremist Le Pen made such a spectacular showing in the presidential contest. Was the first-ballot success of Le Pen based on issues of law and order, ethnicity, nationalism or on the economy? What about the role of the traditional factors of social class, region, religion and left-right ideology? Do the peculiar electoral institutions of the Fifth Republic foster political...
Why do French voters vote the way they do? In this book, leading international scholars examine this question from many different angles. Special atte...
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 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...
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...
Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the general strategies for testing interactions in logistic regression as well as providing the tools to interpret and understand the meaning of coefficients in equations with product terms. Using completely worked-out examples, the author focuses on the interpretation of the coefficients of interactive logistic models for a wide range of scenarios encountered in the research literature. In addition, the author avoids complex formulas in favor of simple...
Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the general str...
This book discusses the estimation, simulation, and interpretation of models with multiple outcomes, when these outcomes are either ordered or unordered, against the backdrop of examples relating to socioeconomic inequality. The book includes exposition of the important distinction between odds-ratios and risk-ratios, logit versus probit (and, vice-versa) as well as a step-by-step explanation of the practical computing procedures that underpin the analysis.
This book discusses the estimation, simulation, and interpretation of models with multiple outcomes, when these outcomes are either ordered or unor...
Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this will involve situations where the number and location of the spline knots are known in advance, while others will need to determine the number and location of spline knots as part of the estimation process. Through the use of a number of straightforward examples, the authors will show readers how to work with both types of spline knot situations as well as offering practical, down-to-earth information on estimating splines.
Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some res...
