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.
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.
Inhaltsangabe
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
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
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
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
Rezensionen
Written in clear, engaging and entertaining way, this indispensable book offers students everything they need to master the fundamentals of political analysis, offering an accessible entry-point to what is often an intimidating topic. This will be top of my next syllabus!
Dr Govinda Clayton
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