Data analysis with small samples and non-normal data :
General Material Designation
[Book]
Other Title Information
nonparametrics and other strategies /
First Statement of Responsibility
Carl F. Siebert, Darcy Clay Siebert.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York :
Name of Publisher, Distributor, etc.
Oxford University Press,
Date of Publication, Distribution, etc.
[2018]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
ix, 223 pages :
Other Physical Details
illustrations ;
Dimensions
21 cm.
SERIES
Series Title
Pocket guides to social work research methods
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 213-218) and index.
CONTENTS NOTE
Text of Note
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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SUMMARY OR ABSTRACT
Text of Note
"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
OTHER EDITION IN ANOTHER MEDIUM
Title
Data analysis with small samples and non-normal data.