Julian Simon was known for his methodical, and often controversial, writings challenging conventional beliefs about overpopulation, pollution, disappearing farmland, and the scarcity of energy sources and raw materials
Julian Simon was known for his methodical, and often controversial, writings challenging conventional beliefs about overpopulation, pollution, disappearing farmland, and the scarcity of energy sources and raw materialsHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Basic Research Methods in Social Science 1: Introduction I: Part One the Process of Social-Science Research 2: The Language of Research: Definitions and Validitg 3: Basic Concepts of Research 4: Types of Empirical Research 5: Theory, Model, Hypothesis, and Empirical Research 6: Choosing Appropriate Proxies for Theoretical Variables II: Part Two Research Decisions and Procedures 7: The Steps in an Empirical Research Study 8: How to Assess the Potential Value of Research Projects 9: Sampling 10: Experiments: Pro, Con, and how to do them 11: Designing Experiments 12: Non-Experimental Designs Far Studying Relationships 13: Surveys: Pro, Can, and how to do them 14: Same Other Qualitative and Quantitative Techniques 15: Classifying, Measuring, and Scaling 16: Scaling Human Responses 17: Data Handling, Adjusting, and Summarizing III: Part Three the Obstacles to Social-Science Knowledge and Wags to Overcome them 18: The Concept of Obstacles in the Search for Ernpical Knowledge 19: Obstacles Created by the Humanness of the Observer: Appendix on Interviewing 20: Complexities and Intractability of the Human Mind: Appendix an Questionnaire Construction 21: Obstacles to Obtaining Adequate Subject Matter 22: Obstacles to The Study of Changes Aver Time 23: Obstacles to the Search for Causal Relationships 24: The Master Obstacle: Cost IV: Part Four Extracting the Meaning of Data 25: Analysis of Simple Data: Association and Regression 26: Searching for Relationships: Analysis of Complex Data 27: Inferential Statistics: Introduction 28: Probability and Hypothesis Testing by the Monte Carlo Method 29: Hypothesis Testing with Measured Data 30: Correlation and other Statistical Issues 31: How Big a Sample? 32: The Concept of Causality in Social Science, with Notes on Prediction, Law, Explanation, and Function V: Part Five Epilogue 33: The Nature, Powers, and Limits of Social Science
Basic Research Methods in Social Science 1: Introduction I: Part One the Process of Social-Science Research 2: The Language of Research: Definitions and Validitg 3: Basic Concepts of Research 4: Types of Empirical Research 5: Theory, Model, Hypothesis, and Empirical Research 6: Choosing Appropriate Proxies for Theoretical Variables II: Part Two Research Decisions and Procedures 7: The Steps in an Empirical Research Study 8: How to Assess the Potential Value of Research Projects 9: Sampling 10: Experiments: Pro, Con, and how to do them 11: Designing Experiments 12: Non-Experimental Designs Far Studying Relationships 13: Surveys: Pro, Can, and how to do them 14: Same Other Qualitative and Quantitative Techniques 15: Classifying, Measuring, and Scaling 16: Scaling Human Responses 17: Data Handling, Adjusting, and Summarizing III: Part Three the Obstacles to Social-Science Knowledge and Wags to Overcome them 18: The Concept of Obstacles in the Search for Ernpical Knowledge 19: Obstacles Created by the Humanness of the Observer: Appendix on Interviewing 20: Complexities and Intractability of the Human Mind: Appendix an Questionnaire Construction 21: Obstacles to Obtaining Adequate Subject Matter 22: Obstacles to The Study of Changes Aver Time 23: Obstacles to the Search for Causal Relationships 24: The Master Obstacle: Cost IV: Part Four Extracting the Meaning of Data 25: Analysis of Simple Data: Association and Regression 26: Searching for Relationships: Analysis of Complex Data 27: Inferential Statistics: Introduction 28: Probability and Hypothesis Testing by the Monte Carlo Method 29: Hypothesis Testing with Measured Data 30: Correlation and other Statistical Issues 31: How Big a Sample? 32: The Concept of Causality in Social Science, with Notes on Prediction, Law, Explanation, and Function V: Part Five Epilogue 33: The Nature, Powers, and Limits of Social Science
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