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Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Beyond the authoritative coverage of the basic methodology, the authors include numerous features to help students achieve a deeper understanding of field experimentation, including rich examples from the social science literature, problem sets and discussions, data sets, and further readings. Review: Authoritative text on experimental methods for the social sciences. Well written and accessible - This is a great book. It's well written, concise and offers a rigorous first course in experimental methods that is essentially free from disciplinary jargon. It also fills an important void in being really the only text on the design and analysis of experiments written for social scientists. There are plenty of examples, exercises and datasets here so the book also serves as a great text for self study. The book has the added advantage of conveying a nuanced understanding of the implementation challenges that result from experiments on humans that many statistics texts (typically written with crop yields or bacteria in mind) fall short on. Review: A textbook that's actually good - Didn't believe instructor when he said this book was good, but I came to appreciate a lot of it for the mostly clear way it explains concepts (esp. econometric and regression concepts) clearly. There are still areas that may be more confusing than they could be, but overall it's one of the few required reading texts I actually plan to keep.
| Best Sellers Rank | #102,549 in Books ( See Top 100 in Books ) #4 in Political History (Books) #68 in Probability & Statistics (Books) #311 in History & Theory of Politics |
| Customer Reviews | 4.7 out of 5 stars 73 Reviews |
K**E
Authoritative text on experimental methods for the social sciences. Well written and accessible
This is a great book. It's well written, concise and offers a rigorous first course in experimental methods that is essentially free from disciplinary jargon. It also fills an important void in being really the only text on the design and analysis of experiments written for social scientists. There are plenty of examples, exercises and datasets here so the book also serves as a great text for self study. The book has the added advantage of conveying a nuanced understanding of the implementation challenges that result from experiments on humans that many statistics texts (typically written with crop yields or bacteria in mind) fall short on.
A**.
A textbook that's actually good
Didn't believe instructor when he said this book was good, but I came to appreciate a lot of it for the mostly clear way it explains concepts (esp. econometric and regression concepts) clearly. There are still areas that may be more confusing than they could be, but overall it's one of the few required reading texts I actually plan to keep.
G**E
This is the book if you want to conduct experiments...
If you are interested in running social experiments this is the book to have! It is very well written with very engaging language. The mathematics is deep but explained very well. They explain statistical concepts with real life examples so one can understand how to apply statistical techniques to real life problems.
A**T
Excellent resource on intent to treat and compliance in field experiments
This is a very useful book on running randomized experiments. The book has a very good survey of randomized inference but where the book really excels is intent to treat and compliance. In a world where compliance is an real issue, this book provides very practical solutions. The R code makes it very easy to follow the econometrics.
B**N
Everything you need to know and then some
Made my college- level research class a breeze. Loaded with helpful information.
J**L
Nice and clean
Will now start reading it!
D**S
This is a really nice, accessible treatment of the Rubin causal model with ...
This is a really nice, accessible treatment of the Rubin causal model with specific applications to Political Science and Development. More than that though, it does a *very* good job of balancing accessibility/readability/rigor.
R**N
Textbook for a course
Great book, selected as the textbook for one of my classes
E**E
Nice introduction, expected more practical advice
Gerber and Green are two of the leading scholars in field experimental research. The book gives important impulses for the field and lists several strong arguments for conducting field experiment. What I missed a practical recommendation how to conduct field experiments. My experience is that this is much more important than analysing the results - at least if you conduct small-scale experiments.
C**A
Five Stars
great
D**Y
Five Stars
Excellent
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