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What If There Were No Significance Tests?: Classic Edition (Multivariate Applications) (Hardcover)

What If There Were No Significance Tests?: Classic Edition (Multivariate Applications) Cover Image
By Lisa L. Harlow (Editor), Stanley A. Mulaik (Editor), James H. Steiger (Editor)
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Description


The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways.

About the Author


Lisa L. Harlow is Professor of Psychology at the University of Rhode Island. She is the Editor of Psychological Methods and a past president of the American Psychological Association's Division 5.Stanley A. Mulaik is Professor Emeritus of Psychology at Georgia Institute of Technology. His research interests include philosophy of statistics and causality and objectivity.James H. Steiger is Professor of Psychology and Human Development at Vanderbilt University. His research interests include the use of confidence intervals to evaluate the fit of statistical models.

Product Details
ISBN: 9781138892460
ISBN-10: 1138892467
Publisher: Routledge
Publication Date: March 16th, 2016
Pages: 444
Language: English
Series: Multivariate Applications