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 variables.
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Michael S. Lewis-Beck is F. Wendell Miller Distinguished Professor of Political Science at the University of Iowa, and holds a Ph.D. from the University of Michigan. His interests are comparative elections, election forecasting, political economy, and quantitative methodology. He has been designated the 4th most cited political scientist since 1940, in the field of methodology. Professor Lewis-Beck has authored or co-authored over 240 articles and books, including Applied Regression: An Introduction, Data Analysis: An Introduction, Economics and Elections: The Major Western Democracies, Forecasting Elections, The American Voter Revisited and French Presidential Elections. He has served as an Editor of the American Journal of Political Science, the Sage QASS series (the green monographs) in quantitative methods and The Sage Encyclopedia of Social Science Research Methods. Currently he is Associate Editor of International Journal of Forecasting and Associate Editor of French Politics. In spring 2012, he held the position of Paul Lazersfeld University Professor at the University of Vienna. During the fall of 2012, he was Visiting Professor at Center for Citizenship and Democracy, University of Leuven (KU Leuven), Belgium. In spring 2013, Professor Lewis-Beck was Visiting Scholar, Centennial Center, American Political Science Association, Washington, D.C. During fall 2013, he served as Visiting Professor, Faculty of Law and Political Science, Universidad Autónoma de Madrid, Spain. In spring, 2014, he was Visiting Scholar, Department of Political Science, University of Göteborg, Sweden. For fall, 2014, he served as a Visiting Professor at LUISS University, Rome. At present, he is co-authoring a book on how Latin Americans vote.
This is one of the best resources on basic regression techniques available on the market today. It remains my go-to guide for my own research. It is the quintessential text for graduate students pursuing degrees in the quantitative social sciences. This text has helped train several generations of social science researchers over the course of the last four decades. (Matt Vogel)
Lewis-Beck is hands-down the best introduction to linear regression that I have ever encountered. I have used Lewis-Beck for 20 years – almost every year – in my methods courses. He really produced something special. For undergraduates and graduate students the treatment is clear and concise. He is the only research methods title for which I offer no apology for assigning. (Ross Miller)
For an introduction to regression for beginning graduate students or advanced undergraduates, the text is an excellent supplement to a more technical text that is capable of going into greater detail.... The book accomplishes what it sets out to do very well, which is to gently introduce audiences to the logic and basic mathematics of regression. (Carl L. Palmer)
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Descripción SAGE Publications, Inc, 1980. Paperback. Estado de conservación: New. Never used!. Nº de ref. de la librería P110803914946
Descripción SAGE Publications, Inc. PAPERBACK. Estado de conservación: New. 0803914946 New Condition. Nº de ref. de la librería NEW7.0376432
Descripción SAGE Publications, Inc, 1980. Paperback. Estado de conservación: New. Nº de ref. de la librería DADAX0803914946