Statistical Principles In Experimental Design
Product Description
A revision of this classic statistics text for first-year graduate students in psychology, education and related social sciences. The two new authors are former students of Winer’s. They have updated, rewritten and reorganized the text to fit the course as it is now taught.
Statistical Principles In Experimental Design
Kenneth Rona said,
Wrote on October 15, 2010 @ 3:56 pm
This is the source for statistics related to experiments. Everything from single factor ANOVA to complex latin squared designs are covered. It is a hard read, but worth it. Not for the novice.
Rating: 5 / 5
Anonymous said,
Wrote on October 15, 2010 @ 6:28 pm
Maxwell & Delaney is better conceptually. And Winer is just work whereas Maxwell & Delaney is a pleasure. I would give Winer more stars if I didn’t have the better alternative book though.
Rating: 3 / 5
S. Moore said,
Wrote on October 15, 2010 @ 7:26 pm
I wouldn’t recommend buying this unless you need it for a statistics or research methods course. It’s badly written, full of equations, and is very difficult to understand. A good understandable alternative (though not as in depth) is Keppel and Wickens.
Winer is not a book that you would read to get a basic understanding of statistics or experimental design – it’s more of a reference book for when you have some data that you need to analyze and you’re not sure how to do it, because the design was complicated.
Rating: 3 / 5
Anonymous said,
Wrote on October 15, 2010 @ 8:45 pm
Could you tell me more about what to do about unequal sample sizes within groups? Since the F ratio becomes sensitive to the non equality of variances if the group sample sizes are unequal, this becomes a very important question for the validity of the ANOVA.
Rating: 5 / 5