Field Experiments: Design, Analysis, and Interpretation
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Field Experiments: Design, Analysis, and Interpretation

4.7/5
Product ID: 5853988
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Field Experiments: Design, Analysis, and Interpretation

Reviews

4.7

All from verified purchases

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.

J**L

Nice and clean

Will now start reading it!

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.

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.

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.

B**N

Everything you need to know and then some

Made my college- level research class a breeze. Loaded with helpful information.

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

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