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Data Analysis with Small Samples and Non- Normal Data: Nonparametrics and Other Strategies by CARL F. SIEBERT; DARCY CLAY SIEBERT is a nonfiction available to read on EtoBox.

What is Data Analysis with Small Samples and Non- Normal Data: Nonparametrics and Other Strategies about?

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, offers step-by-step instructions for each analytic technique in these situations. Researchers can easily find what they need, matching their situation to the case-based scenarios that illustrate the many uses of nonparametric strategies. Unlike most statistics books, this text is written in straightforward language (thereby making it accessible for nonstatisticians) while providing useful information for those already familiar with nonparametric tests. Screenshots of the software and output allow readers to follow along with each step of an

Who reads Data Analysis with Small Samples and Non- Normal Data: Nonparametrics and Other Strategies?

Author

CARL F. SIEBERT; DARCY CLAY SIEBERT

Publisher

Oxford University Press Academic US

Published

2018

Language

EN

ISBN

9780199391509

Category

nonfiction

Subjects

Mathematics, Computer Science, Programming