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" Data analysis with small samples and non-normal data : "
Carl F. Siebert, Darcy Clay Siebert.
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BL
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| Record Number
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874076
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| Main Entry
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Siebert, Carl F.
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| Title & Author
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Data analysis with small samples and non-normal data : : nonparametrics and other strategies /\ Carl F. Siebert, Darcy Clay Siebert.
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| Publication Statement
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New York :: Oxford University Press,, [2018]
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| Series Statement
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Pocket guides to social work research methods
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| Page. NO
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ix, 223 pages :: illustrations ;; 21 cm.
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| ISBN
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0199391491
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: 9780199391493
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9780199391509
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9780199391516
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| Bibliographies/Indexes
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Includes bibliographical references (pages 213-218) and index.
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| Contents
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Introduction to nonparametrics -- Analyzing single variables and single groups -- Comparing two or more independent groups -- Comparing two or more related groups -- Predicting with multiple independent variables -- Appendix -- Index.
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| Abstract
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"In social sciences, education, and public health research, researchers often conduct small pilot studies (or may have planned for a larger sample but lost too many cases due to attrition or missingness), leaving them with a smaller sample than they expected and thus less power for their statistical analyses. Similarly, researchers may find that their data are not normally distributed -- especially in clinical samples -- or that the data may not meet other assumptions required for parametric analyses. In these situations, nonparametric analytic strategies can be especially useful, though they are likely unfamiliar. A clearly written reference book, Data Analysis with Small Samples and Non-Normal Data offers step-by-step instructions for each analytic technique in these situations." -- Publisher's description
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| Subject
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Nonparametric statistics.
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Nichtparametrische Statistik
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Nonparametric statistics.
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Sozialwissenschaften
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| Dewey Classification
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519.5/4
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| LC Classification
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QA278.8.S52 2018
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| Added Entry
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Siebert, Darcy Clay
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