Experimental and Quasi-Experimental Designs for Generalized Causal Inference

by William R. Shadish, Thomas D. Cook, Donald T. Campbell

This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation:

Genres: Science, Research, Textbooks, Nonfiction, Research Methods, Psychology, Reference

656 pages, Paperback

First published July 13, 2001

Reviews

[Rebecca · Rating 4 out of 5]

Ok, this definitely was a good textbook on how to design experiments; I just REALLY resent having to read 500 pages and summarize them (14 pages of summaries) in 2.5 weeks over Christmas. Not my idea of fun reading over the break and why I only read 2 novels for pleasure over Christmas. And Positive Accounting Theory is due next week. Someday this will all be worth it, right?

[Sandra Clark · Rating 5 out of 5]

I wish for a reprint of this important book. Even better, plans for a 3rd edition. An indispensable addition to my efforts to learn how to become a reaearcher.

[Kenny Oyama · Rating 5 out of 5]

This should be a must-read for anyone conducting experimental research in the social and business sciences.

[Gwendolyn · Rating 3 out of 5]

2.5

[Alexis · Rating 4 out of 5]

Well written reference.

[GT]

Read this book as the textbook -- and bible -- for a research design class many years ago. Still useful now when I want to torture someone over research design.

[Lindsey · Rating 3 out of 5]

A good supplemental text for advanced students, but not recommended as the core text for an introductory course. Goes into the various types of validity in great depth.

[Michael · Rating 3 out of 5]

It did the job. It was reasonably straight forward and covered most relevant topics well enough. No great love nor was there any distain when reading it.