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Field Experiments: Design, Analysis, and Interpretation
85% of respondents would recommend this to a friend
AMD 28686
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What Stands Out
Product Details
- Brief and authoritative introduction to field experimentation in the social sciences
- Covers major aspects of experiment design, analysis, and interpretation in clear language
- Teaches how to design randomized experiments, analyze data, and interpret findings
- Includes rich examples from the social science literature, problem sets and discussions, data sets, and further readings
- Written by two leading experts on experimental methods
- Concise text with features to help students achieve a deeper understanding of field experimentation
| Publisher | W. W. Norton & Company |
| Publication date | May 29, 2012 |
| Edition | Illustrated |
| Language | English |
| Print length | 512 pages |
| ISBN-10 | 0393979954 |
| ISBN-13 | 978-0393979954 |
| Item Weight | 1.58 pounds (720 grams) |
| Dimensions | 6.1 x 1 x 9.3 inches (15.5 x 2.5 x 23.6 cm) |
Who Should Buy?
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Social Scientists
Ideal for researchers studying behavioral science needing practical guidance on field experiment designs and analysis techniques.
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Academic Students
Beneficial for graduate students in statistics or social research courses seeking a thorough understanding of experimental methodologies.
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Policy Analysts
Useful for analysts looking to evaluate policies effectively through real-world field experiments with robust analysis frameworks.
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Beginner Statisticians
Novice practitioners may find the content complex, requiring foundational knowledge of statistics and experimental design first.
Product Description
Field Experiments: Design, Analysis, and Interpretation
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Probability & Statistics Editorial Review
This illustrated edition of "Field Experiments: Design, Analysis, and Interpretation" is highly praised by users, who deem it a comprehensive resource on social experiments. The book is lauded for its clarity, accessibility, usefulness and rigorousness, as well as for its excellent survey of randomized inference, which provides practical solutions to compliance issues. Users also appreciate the real-life examples and the R code, which make it easy to follow the econometrics. Overall, users suggest this book is perfect for anyone interested in running social experiments.
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Pros
- Comprehensive resource on social experiments
- Clear and accessible
- Useful and practical
- Rigorous
- Excellent survey of randomized inference
- Real-life examples
- R code provided
Cons
- Some areas may be confusing
Product Price History
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