Designing Experiments for the Social Sciences
If you’re in North America, please visit our Sage College Publishing website to purchase or sample this book:
Go to College Publishing WebsiteDescription
–Sarah El Sayed, University of Texas at Arlington
Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given.
Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines.
Contents
Preface
Preface
Acknowledgments
Acknowledgments
About the Author
- 1. Discovering Cause and Effect
- Causation
- Experiments Compared to Other Methods
- Basic Criteria for Experiments
- Elements of Experiments
- Starting a Study of Your Own
- 2. Ethics and Famous Experiments in History
- The Scurvy Studies
- The Contributions of Charles Peirce
- Ronald Fisher’s Plots and Tea
- B. F. Skinner: Small Samples, High Tech
- Stanley Milgram Shocks the World
- Philip Zimbardo: Raising Consciences in a Stanford Basement
- Conclusion
- 3. Theory, Literature, and Hypotheses
- The Literature Review
- Hypotheses and Research Questions
- 4. Types of Experiments
- Campbell and Stanley’s Typology of Experiments
- Quasi Experiments
- Natural Experiments
- Field Experiments
- 5. Internal and External Validity
- Ecological and External Validity
- Generalizability
- Cause and Effect
- Logical Inference
- Replication
- Internal Validity
- 6. Factorial Designs
- Single-Factor Designs
- Factorial Designs
- How Subjects Are Used in Designs
- Control Groups
- 7. Random Assignment
- The Purpose of Random Assignment
- Operationalizing Random Assignment
- Reporting Random Assignment
- Balanced and Unbalanced Designs
- Checking That Random Assignment Was Effective
- Blocking, Matching, and Other Strategies
- Random Assignment of Other Things
- Random Assignment Resistance
- 8. Sampling and Effect Sizes
- Student Samples
- Amazon’s Mechanical Turk
- Other Subject Sources
- Recruiting
- Incentives
- Sample Size and Power
- 9. Stimuli and Manipulation Checks
- Examples of Stimuli
- Advice on Creating Stimuli
- Manipulation Checks
- Reporting the Stimuli and Manipulation Checks
- 10. Instruments and Measures
- Instruments
- Measurement Issues
- 11. The Institutional Review Board and Conducting Ethical Experiments
- Institutional Review Boards
- Ethical Issues in Experiments
- Protecting Subjects
- Researcher Issues
- Pilot Studies
Glossary
Glossary
Index
Index
Additional materials
Description
–Sarah El Sayed, University of Texas at Arlington
Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given.
Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines.
Contents
Preface
Preface
Acknowledgments
Acknowledgments
About the Author
- 1. Discovering Cause and Effect
- Causation
- Experiments Compared to Other Methods
- Basic Criteria for Experiments
- Elements of Experiments
- Starting a Study of Your Own
- 2. Ethics and Famous Experiments in History
- The Scurvy Studies
- The Contributions of Charles Peirce
- Ronald Fisher’s Plots and Tea
- B. F. Skinner: Small Samples, High Tech
- Stanley Milgram Shocks the World
- Philip Zimbardo: Raising Consciences in a Stanford Basement
- Conclusion
- 3. Theory, Literature, and Hypotheses
- The Literature Review
- Hypotheses and Research Questions
- 4. Types of Experiments
- Campbell and Stanley’s Typology of Experiments
- Quasi Experiments
- Natural Experiments
- Field Experiments
- 5. Internal and External Validity
- Ecological and External Validity
- Generalizability
- Cause and Effect
- Logical Inference
- Replication
- Internal Validity
- 6. Factorial Designs
- Single-Factor Designs
- Factorial Designs
- How Subjects Are Used in Designs
- Control Groups
- 7. Random Assignment
- The Purpose of Random Assignment
- Operationalizing Random Assignment
- Reporting Random Assignment
- Balanced and Unbalanced Designs
- Checking That Random Assignment Was Effective
- Blocking, Matching, and Other Strategies
- Random Assignment of Other Things
- Random Assignment Resistance
- 8. Sampling and Effect Sizes
- Student Samples
- Amazon’s Mechanical Turk
- Other Subject Sources
- Recruiting
- Incentives
- Sample Size and Power
- 9. Stimuli and Manipulation Checks
- Examples of Stimuli
- Advice on Creating Stimuli
- Manipulation Checks
- Reporting the Stimuli and Manipulation Checks
- 10. Instruments and Measures
- Instruments
- Measurement Issues
- 11. The Institutional Review Board and Conducting Ethical Experiments
- Institutional Review Boards
- Ethical Issues in Experiments
- Protecting Subjects
- Researcher Issues
- Pilot Studies
Glossary
Glossary
Index
Index
Additional materials
Reviews
Designing Experiments for the Social Sciences
How to Plan, Create, and Execute Research Using Experiments
September 2018 | 408 pages | Sage US
| Format | Published Date | ISBN | Price |
|---|
–Sarah El Sayed, University of Texas at Arlington
Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given.
Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines.
Table Of Contents:
- Preface
- Acknowledgments
- About the Author
- 1. Discovering Cause and Effect
- Causation
- Experiments Compared to Other Methods
- Basic Criteria for Experiments
- Elements of Experiments
- Starting a Study of Your Own
- 2. Ethics and Famous Experiments in History
- The Scurvy Studies
- The Contributions of Charles Peirce
- Ronald Fisher’s Plots and Tea
- B. F. Skinner: Small Samples, High Tech
- Stanley Milgram Shocks the World
- Philip Zimbardo: Raising Consciences in a Stanford Basement
- Conclusion
- 3. Theory, Literature, and Hypotheses
- The Literature Review
- Hypotheses and Research Questions
- 4. Types of Experiments
- Campbell and Stanley’s Typology of Experiments
- Quasi Experiments
- Natural Experiments
- Field Experiments
- 5. Internal and External Validity
- Ecological and External Validity
- Generalizability
- Cause and Effect
- Logical Inference
- Replication
- Internal Validity
- 6. Factorial Designs
- Single-Factor Designs
- Factorial Designs
- How Subjects Are Used in Designs
- Control Groups
- 7. Random Assignment
- The Purpose of Random Assignment
- Operationalizing Random Assignment
- Reporting Random Assignment
- Balanced and Unbalanced Designs
- Checking That Random Assignment Was Effective
- Blocking, Matching, and Other Strategies
- Random Assignment of Other Things
- Random Assignment Resistance
- 8. Sampling and Effect Sizes
- Student Samples
- Amazon’s Mechanical Turk
- Other Subject Sources
- Recruiting
- Incentives
- Sample Size and Power
- 9. Stimuli and Manipulation Checks
- Examples of Stimuli
- Advice on Creating Stimuli
- Manipulation Checks
- Reporting the Stimuli and Manipulation Checks
- 10. Instruments and Measures
- Instruments
- Measurement Issues
- 11. The Institutional Review Board and Conducting Ethical Experiments
- Institutional Review Boards
- Ethical Issues in Experiments
- Protecting Subjects
- Researcher Issues
- Pilot Studies
- Glossary
- Index