"[A] valuable addition[s] to the stock of material available for fledgling social scientists. Lewis-Bec?s book is best for early nurture. . . "

--Eric Tanenbaum in ESRC Data Archive Bulletin

"This book, I predict, will turn the statistics-shy into eager practitioners, and skillful ones to boot. . . . It?s a masterpiece of clarity and appliedness, written in a refreshing and engaging style. Not only is a lot of ground covered--as much as can be packed into a first-semester course in data analysis--but the author also grapples with issues of statistical theory (specification error, collinearity, least-squares estimation)."

--Helmet Norpoth, SUNY at Stony Brook

"This is a very fine book that will make an excellent addition to the Sage quantitative application series. It does a nice job of illustrating how data analysis is conducted by taking a simple, easy-to-motivate example and following it through the entire gamut of data analysis steps."

--Herbert Weisberg, The Ohio State University

Written at a level appropriate for the advanced undergraduate course on data analysis, this accessible volume introduces the reader to the "art" of data analysis from data-gathering to multiple regression in which a dependent variable is influenced by several independent variables. The book focuses on the interpretation of a statistical result, in particular those that come from nonexperimental social research. Using a consistent data set throughout the book in order to illustrate the various analytic techniques, the author covers such topics as univariate statistics, measures of association, the statistical significance of the relationship between two variables, and simple regression where the dependent variable is influenced by a single independent variable. The last chapter offers analysis recommendations. Data Analysis will provide social science researchers with the tools to select and evaluate statistical tests appropriate for their particular research question.

Across representative democracies, there is a strong variation in the rules that govern the electoral process. A classic insight in political science is that these rules, e.g., the presence of a majoritarian or a proportional system have a profound effect on the way a democracy functions. We know less however, about the way voters actually respond to these electoral rules. This kind of effect presupposes that voters not only are aware of the electoral system, but also that they adapt to the incentives offered by the system. In this volume, a group of international scholars investigate whether this is indeed the case. The various chapters in this volume deal with the effect of proportionality, mixed-member systems, compulsory voting and preferential voting. The chapters are based on recent data and state-of-the-art methods. The introduction confronts the findings of the various chapters with the allegedly universal validity of vote choice models in the literature. The research presented in this volume mainly deals with elections in Europe, but the findings speak to the broader community of electoral scholars. The chapters originally published as a special issue in West European Politics.

Across representative democracies, there is a strong variation in the rules that govern the electoral process. A classic insight in political science is that these rules, e.g., the presence of a majoritarian or a proportional system have a profound effect on the way a democracy functions. We know less however, about the way voters actually respond to these electoral rules. This kind of effect presupposes that voters not only are aware of the electoral system, but also that they adapt to the incentives offered by the system. In this volume, a group of international scholars investigate whether this is indeed the case. The various chapters in this volume deal with the effect of proportionality, mixed-member systems, compulsory voting and preferential voting. The chapters are based on recent data and state-of-the-art methods. The introduction confronts the findings of the various chapters with the allegedly universal validity of vote choice models in the literature. The research presented in this volume mainly deals with elections in Europe, but the findings speak to the broader community of electoral scholars. The chapters originally published as a special issue in West European Politics.

Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. The authors then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions.