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Bohmann's Bookstore:
Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building, by George E.P. Box, William G. Hunter, and J. Stuart Hunter, 1978 - John Wiley & Sons
A true classic in experimental designs. Researchers and engineers learn how to compare two or more design changes (treatments) in economical ways, measure the effects of variables. Also an introduction to other statistical methods that are useful for experimenters (e.g., regression analysis and time series analysis).
Experimental and Quasi-Experimental Designs for Research, by Donald T. Campbell and Julian C. Stanley, 1966 - Houghton Mifflin College
Discuss actual experimental designs. Must-have for graduate students in the quantitative social science.
Quasi-Experimentation: Design and Analysis Issues, by Thomas D. Cook and Donald T. Campbell, 1979 - Houghton Mifflin College
Quasi-experimental approaches to research out of the lab. Beginning with a discussion of the positivist origins of science and evaluation research, it details a range of quasi-experimental approaches suitable to "real world" research, together with statistical techniques applicable to each. The book includes a realistic assessment of the barriers to randomization in natural settings, including the observation that true randomization is rarely used unless there is a marked power differential between the researcher and the subjects. The book is thoughtful, well-written, and invaluable.