The book is designed to help undergraduates (at any instructional level) better understand the methods and rational structure of scientific inquiry. Recipes for Science is essential for any college studentâ s basic scientific education.
The book is designed to help undergraduates (at any instructional level) better understand the methods and rational structure of scientific inquiry. Recipes for Science is essential for any college studentâ s basic scientific education.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Angela Potochnik is Associate Professor of Philosophy and Director of the Center for Public Engagement with Science at the University of Cincinnati, USA. Matteo Colombo is Assistant Professor in the Tilburg Center for Logic, Ethics, and Philosophy of Science, and in the Department of Philosophy at Tilburg University, the Netherlands. Cory Wright is Professor of Philosophy and Director of Graduate Studies at California State University Long Beach, USA.
Inhaltsangabe
List of Figures Acknowledgements Introduction: Science and Your Everyday Life Chapter 1. What is Science? 1.1 The Importance of Science 1.2 Defining Science 1.3 Recipes for Science Chapter 2. Experiments and Studies 2.1 Experiment: Connecting Hypotheses to Observations 2.2 The Perfectly Controlled Experiment 2.3 Experimental and Non-Experimental Methods Chapter 3. Models and Modeling 3.1 Models in Science 3.2 Varieties of Models 3.3 Learning from Models Chapter 4. Patterns of Interference 4.1 Deductive Reasoning 4.2 Deductive Reasoning in Hypothesis-Testing 4.3 Inductive and Abductive Reasoning 5. Statistics and Probability 5.1 The Roles of Statistics and Probability 5.2 Basic Probability Theory 5.3 Descriptive Statistics Chapter 6. Statistical Inference 6.1 Generalizing from Descriptive Statistics 6.2 Using Statistics to Test Hypotheses 6.3 A Different Approach to Statistical Inference Chapter 7. Causal Reasoning 7.1 What is Causation? 7.2 Testing Causal Hypotheses 7.3 Causal Modeling Chapter 8. Explanations, Theories, and Values 8.1 Understanding the World 8.2 Theories and Theory Change 8.3 Science, Society, and Values Glossary References Index
List of Figures Acknowledgements Introduction: Science and Your Everyday Life Chapter 1. What is Science? 1.1 The Importance of Science 1.2 Defining Science 1.3 Recipes for Science Chapter 2. Experiments and Studies 2.1 Experiment: Connecting Hypotheses to Observations 2.2 The Perfectly Controlled Experiment 2.3 Experimental and Non-Experimental Methods Chapter 3. Models and Modeling 3.1 Models in Science 3.2 Varieties of Models 3.3 Learning from Models Chapter 4. Patterns of Interference 4.1 Deductive Reasoning 4.2 Deductive Reasoning in Hypothesis-Testing 4.3 Inductive and Abductive Reasoning 5. Statistics and Probability 5.1 The Roles of Statistics and Probability 5.2 Basic Probability Theory 5.3 Descriptive Statistics Chapter 6. Statistical Inference 6.1 Generalizing from Descriptive Statistics 6.2 Using Statistics to Test Hypotheses 6.3 A Different Approach to Statistical Inference Chapter 7. Causal Reasoning 7.1 What is Causation? 7.2 Testing Causal Hypotheses 7.3 Causal Modeling Chapter 8. Explanations, Theories, and Values 8.1 Understanding the World 8.2 Theories and Theory Change 8.3 Science, Society, and Values Glossary References Index
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