logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Statistical Power Analysis A Simple And General Model For Traditional And Modern Hypothesis Tests 2nd Edition Brett Myors

  • SKU: BELL-4439912
Statistical Power Analysis A Simple And General Model For Traditional And Modern Hypothesis Tests 2nd Edition Brett Myors
$ 31.00 $ 45.00 (-31%)

4.8

64 reviews

Statistical Power Analysis A Simple And General Model For Traditional And Modern Hypothesis Tests 2nd Edition Brett Myors instant download after payment.

Publisher: Routledge
File Extension: PDF
File size: 9.81 MB
Pages: 128
Author: Brett Myors, Kevin R. Murphy, Kevin Murphy, Allen Wolach
ISBN: 9780805845259, 0805845259
Language: English
Year: 2003
Edition: 2

Product desciption

Statistical Power Analysis A Simple And General Model For Traditional And Modern Hypothesis Tests 2nd Edition Brett Myors by Brett Myors, Kevin R. Murphy, Kevin Murphy, Allen Wolach 9780805845259, 0805845259 instant download after payment.

This book presents a simple and general method for conducting statistical power analysis based on the widely used F statistic. The book illustrates how these analyses work and how they can be applied to problems of studying design, to evaluate others' research, and to choose the appropriate criterion for defining "statistically significant" outcomes. Statistical Power Analysis examines the four major applications of power analysis, concentrating on how to determine:
*the sample size needed to achieve desired levels of power;
*the level of power that is needed in a study;
*the size of effect that can be reliably detected by a study; and
*sensible criteria for statistical significance.
Highlights of the second edition include:a CD with an easy-to-use statistical power analysis program; a new chapter on power analysis in multi-factor ANOVA, including repeated-measures designs; and a new One-Stop PV Table to serve as a quick reference guide.
The book discusses the application of power analysis to both traditional null hypothesis tests and to minimum-effect testing. It demonstrates how the same basic model applies to both types of testing and explains how some relatively simple procedures allow researchers to ask a series of important questions about their research. Drawing from the behavioral and social sciences, the authors present the material in a nontechnical way so that readers with little expertise in statistical analysis can quickly obtain the values needed to carry out the power analysis.
Ideal for students and researchers of statistical and research methodology in the social, behavioral, and health sciences who want to know how to apply methods of power analysis to their research.

Related Products