Design Sensitivity
Statistical Power For Experimental Research (Applied Social Research Methods)




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Book Description
Whether in the laboratory or while doing fieldwork, all researchers face an important challenge - designing research that will have sufficient sensitivity to detect those effects it purports to investigate. Sample size, validity, and sensitivity, experimental error, subject variability and the tyContinue
Book Details
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- English Books
- Paperback 208 Pages
- Edition: 1
- ISBN-10: 0803930631
- ISBN-13: 9780803930636
- Publisher: Sage Publications
- Pub date: Dec 01, 1989
- Dimensions: 1419 mm x 968 mm x 65 mm Just how big is that?
Prices Change currency & sellers
| ISBN | Edition | List | Sale | Seller |
|---|---|---|---|---|
| 9780803930636 | Paperback | $66.95 | $52.40 | The Book Depository |
Design Sensitivity: Statistical Power...
This book is especially useful to researchers like myself who work with experimental design and trying to figure out the best way to go about answering certain questions. Lipsey's book is dry, but then again, remember that he is not writing a novel in which our mind can become lost. He is writing so ... (continue)
This book is especially useful to researchers like myself who work with experimental design and trying to figure out the best way to go about answering certain questions. Lipsey's book is dry, but then again, remember that he is not writing a novel in which our mind can become lost. He is writing so that researchers running statistics, for instance, know how large a sample size needs to be (n = ??) in order to have enough power to, well, run the stats and make subsequent conclusions based on those stats. (Otherwise, what is the point?)
Lipsey is concerned with legitimacy... that of alpha coefficients as well as statistical legitimacy, experimental design's legitimacy, reliability and validity, and all things related to quantitative research. This book is now a reference for me as I work my way through tough questions related to research design. I would highly recommend this book, as Lipsey also has a way of explaining some of the most complex concepts known to researchers and statisticians.
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