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File Format | PDF
File Size | 9.78 MB
Pages | 172
Language | English
Category | Stock market
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Description: 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.
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.
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Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests
Download | Free
