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 f r Europ ische 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.

Chapter 1: The Scientific Method and Statistics
Chapter 2: Theory and Hypotheses
Chapter 3: Data and Variables
Chapter 4: Research Design and the Scientific Study of Politics
Chapter 5: The Ethics of Data Analysis
PART I Descriptive Statistics
Chapter 6: Univariate Descriptive Statistics
Chapter 7: Measures of Association I: Nominal- and Ordinal-level Variables
Chapter 8: Measures of Association II: Means Comparison and Correlation
Chapter 9: Measures of Association III: (Bivariate) Regression
PART II Inferential Statistics
Chapter 10: An Introduction to Interference
Chapter 11: Inference for Nominal- and Ordinal-level Variables
Chapter 12: The Central Limit Theorem
Chapter 13: Inference for Interval-level Variables
PART III Multiple Regression
Chapter 14: Multiple Regression
Chapter 15: Extensions to Multiple Regression
Chapter 16: Issues with Multiple Regression
Chapter 17: Binary Logistic Regression
Chapter 18: Categorical and Limited Dependent Variables Epilogue