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The American Voter Revisited
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Dr. Michael S Lewis-Beck (Editor), Helmut Norpoth (Editor), William G Jacoby (Editor)
The presidential elections of 2000 and 2004 will be remembered as two of the most contentious and polarizing political events in American history.In an attempt to understand what happened during these historic elections, "The American Voter Revisited" recreates the outstanding classic from 1960, "The American Voter", following the same format, ...
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Applied Regression: An Introduction
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Dr. Michael S Lewis-Beck
Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollinearity, standardized coefficients, and dummy ...
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Social Choice: : Theory & Research
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Paul E Johnson, Dr. Michael S Lewis-Beck (Introduction by)
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 ...
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Data Analysis: An Introduction
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Dr. Michael S Lewis-Beck
This accessible introduction to data analysis focuses on the interpretation of statistical results, in particular those which come from nonexperimental social research. It will provide social science researchers with the tools necessary to select and evaluate statistical tests appropriate for their research question. Using a consistent data-set ...
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Statistical Graphics for Univariate and Bivariate Data
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by
William G Jacoby, Dr. Michael S Lewis-Beck (Introduction by)
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: univariate methods such as histograms, smoothed histograms, univariate scatterplots, quantile ...
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The Sage Encyclopedia of Social Science Research Methods
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Dr. Michael S Lewis-Beck (Editor), Alan Bryman (Editor), Tim Futing Liao (Editor)
"Appreciative users of this volume will be students, faculty, and researchers in academic, special, and large public libraries, for whom it is recommended." - "Library Journal"."The compilers of this impressive, unique work claim it "brings together, in one place, authoritative essays on virtually all social science methods topics, both ...
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Regression Diagnostics: An Introduction
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by
John Fox, Dr. Michael S Lewis-Beck (Introduction by)
With Regression Diagnostics, researchers now have an accessible explanation of the techniques needed for exploring problems that compromise a regression analysis and for determining whether certain assumptions appear reasonable. The book covers such topics as the problem of collinearity in multiple regression, dealing with outlying and influential ...
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The Models of Similarity and Association
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James E Corter, Dr. Michael S Lewis-Beck (Introduction by)
Clustering and tree models are being widely used in the social and biological sciences to analyze similarity relations. This volume describes how matrices of similarities or associations among entities can be modelled using trees, and explains some of the issues that arise in performing such analyses and interpreting the results correctly. James E ...
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Understanding Regression Assumptions
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Dr. William D Berry, Dr. Michael S Lewis-Beck (Introduction by)
Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the substantive ...
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Interaction Effects in Logistic Regression
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by
James Jaccard, Dr. Michael S Lewis-Beck (Introduction by)
This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple ...
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Economics and Elections: The Major Western Democracies
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by
Dr. Michael S Lewis-Beck
A cross-national study of the effect of economic conditions on voting behavior in the United States and the Western democracies
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Data Theory and Dimensional Analysis
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by
William G Jacoby, Dr. Michael S Lewis-Beck (Introduction by)
By examining some of the basic scaling questions, such as the importance of measurement levels, the kinds of variables needed for Likert or Guttman scales and when to use multidimensional scaling versus factor analysis, Jacoby introduces readers to the most appropriate scaling strategies for different research situations. He also explores data ...
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Relating Statistics & Experimental Design: An Introduction
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by
Irwin P Levin, Dr. Michael S Lewis-Beck (Introduction by)
This handy guide gives the novice researcher a clear description of the standard tools of the trade. Unlike some texts which focus on either design or statistics, this book covers the fundamentals of design, together with experiments and observational methods. There is an exposition of major tests of significance with formulas plus easy verbal ...
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Statistical Graphics for Visualizing Multivariate Data, Volume 120
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by
William G Jacoby, Dr. Michael S Lewis-Beck (Introduction by)
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 (a computer screen or printed page) is inherently two-dimensional. In order to address this problem, William G Jacoby introduces the ...
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Experimental Design & Analysis
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by
Steven R Brown, Lawrence E Melamed, Dr. Michael S Lewis-Beck (Introduction by)
This volume introduces the reader to one of the most fundamental topics in social science statistics: experimental design. The authors clearly show how to select an experimental design based on the number of independent variables and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended ...
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Latent Class Scaling Analysis
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by
C Mitchell Dayton, Dr. Michael S Lewis-Beck (Introduction by)
With empirical examples which are both plentiful and well chosen 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 ...
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Analyzing Repeated Surveys
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by
Glenn Firebaugh, Dr. Michael S Lewis-Beck (Introduction by)
Repeated surveys - a technique for asking the same questions to different samples of people - allows researchers the opportunity to analyze changes in society as a whole. This book begins with a discussion of the classic issue of how to separate cohort, period and age effects. It then covers: methods for modelling aggregate trends; two methods for ...
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Regression with Dummy Variables
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Prof. Melissa A Hardy, Dr. Michael S Lewis-Beck (Introduction by)
It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behaviour, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative, dummy variables allow the researcher to represent ...
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Casual analysis with panel data
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by
Steven E Finkel, Dr. Michael S Lewis-Beck (Introduction by)
Panel data - information gathered from the same individuals or units at several different points in time - are commonly used in the social sciences to test theories of individual and social change. This book highlights the developments in this technique in a range of disciplines and analytic traditions. Providing an overview of models appropriate ...
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The French Voter: Before and After the 2002 Elections
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Dr. Michael S Lewis-Beck
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 ...
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New Tools for Social Scientsts: Advances and Applications in Research Methods
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by
Dr. Michael S Lewis-Beck, William Dale Berry
This volume reviews the most important recent advances in quantitative social science methodology. Broad coverage is given to techniques applicable to the study of a wide variety of topics. To better explain these techniques, each chapter includes an extensive treatment of just one or two substantive applications. Limited to a small number of ...
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Maximum Likelihood Estimation: Logic and Practice
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by
Scott R Eliason, Dr. Michael S Lewis-Beck (Introduction by)
In this volume the underlying logic and practice of maximum likelihood (ML) estimation is made clear by providing a general modelling framework that utilizes the tools of ML methods. This framework offers readers a flexible modelling strategy since it accommodates cases from the simplest linear models to the most complex nonlinear models that link ...
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Bootstrapping: A Nonparametric Approach to Statistical Inference
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Dr. Christopher Z Mooney, Robert D Duval, Dr. Michael S Lewis-Beck (Introduction by)
Bootstrapping, a computational nonparametric technique for 're-sampling', enables researchers to draw a conclusion about the characteristics of a population strictly from the existing sample rather than by making parametric assumptions about the estimator. Using real data examples from per capita personal income to median preference differences ...
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Spline Regression Models
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by
Lawrence Marsh, Dr. Michael S Lewis-Beck (Introduction by), David R Cormier
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 ...
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Logit and Probit: Ordered and Multinomial Models
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by
Vani K Borooah, Dr. Michael S Lewis-Beck (Introduction by)
Many problems in the social sciences are amenable to analysis using the analytical tools of logit and probit models. Within this genre an important class of models are those of ordered and of multinomial models. This book explains what ordered and multinomial models are and also shows how to apply them to analyzing issues in the social sciences.
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