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An easy-to-use guide to the intuition behind statistical methods in politics and IR research. Packed with examples from the UK and Europe, this text features a suite of examples and exercises and, new for the second edition, is supplemented with online workbooks and code to help you use the techniques in the book using R, SPSS, Stata and Python.
Matthew Loveless is an Associate Professor in the Department of Political and Social Sciences at the University of Bologna (Italy). He is also co-founder of the Center for Research and Social Progress. He has taught quantitative methods to undergraduate and graduate students since 2003. He has held academic positions in the United States (Georgetown University; University of Mississippi), the United Kingdom (Nuffield Fellow, Oxford; University of Kent), and Italy (Jean Monnet Fellow, European University Institute, Florence; University of Bologna) in addition to visiting positions at Sciences Po - Institut d-Etudes Politiques de Grenoble (France), the University of Georgia (USA); Davison College (USA); St. Antony's College (Oxford, UK); Mannheimer Zentrum für Europäische Sozialforschung: (Germany), and the University of Debrecen (Hungary). His research interests include in the field of Political Behavior in Europe, particularly as it relates to how individuals perceive and make sense of politics (recent examples focusing on political attitudes include International Political Science Review, Political Studies, the Journal of European Public Policy). Recent publications also include co-authored work that incorporate party competition with recent publications in Government and Opposition, Electoral Studies, and the Journal of Common Market Studies. He lives with his family in Italy.