The Art of Empirical Investigation
Herausgeber: Simon, Julian
The Art of Empirical Investigation
Herausgeber: Simon, Julian
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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
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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
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Routledge
- Seitenzahl: 586
- Erscheinungstermin: 30. September 2003
- Englisch
- Abmessung: 229mm x 152mm x 31mm
- Gewicht: 837g
- ISBN-13: 9780765805300
- ISBN-10: 0765805308
- Artikelnr.: 21753576
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Verlag: Routledge
- Seitenzahl: 586
- Erscheinungstermin: 30. September 2003
- Englisch
- Abmessung: 229mm x 152mm x 31mm
- Gewicht: 837g
- ISBN-13: 9780765805300
- ISBN-10: 0765805308
- Artikelnr.: 21753576
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
Julian Simon
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
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
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