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.

The Scientific Method And Statistics
Theory And Hypotheses
Data And Variables
Research Design
Statistics And The Scientific Study Of Politics
Descriptive Statistics
Univariate Descriptive Statistics
Measures Of Association I: Nominal- And Ordinal-Level Variables
Measures Of Association II: Means Comparison And Correlation
Measures Of Association III: (Bivariate) Regression
Inferential Statistics
An Introduction To Inference
Inference For Nominal- & Ordinal-level Variables
The Central Limit Theorem
Inference For Interval-Level Variables
Multiple Regression
Multiple Regression
Extensions To Multiple Regression
Issues With Multiple Regression
Binary Logistic Regression
Categorical And Limited Dependent Variables
Current Debates
Big Alternatives
The Ethics Of Data Analysis