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Sample Size for Analytical Surveys, Using a Pretest-Posttest-Comparison-Group Design
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This article describes procedures for using statistical power analysis to determine sample size in the case of a pretest-posttest-comparison-group survey design.
LanguageEnglish
PublisherJoseph George Caldwell
Release dateOct 9, 2014
ISBN9780944848227
Author
Joseph George Caldwell
Joseph George Caldwell is a mathematical statistician and systems and software engineer. He is author of articles and books on divers topics (e.g., population, environment, statistics, economics, politics, defense and music, including The Late Great United States (2008); Can America Survive? (1999); How to Stop the IRS and Solve the Deficit Problem (The Value-Added Tax: A New Tax System for the United States) (1987); How to Play the Guitar by Ear (for mathematicians and physicists) (2000). See Internet website http://www.foundationwebsite.org to view these and other articles. He holds a BS degree in Mathematics from Carnegie Mellon University in Pittsburgh, Pennsylvania, and a PhD degree in Statistics from the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
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Sample Size for Analytical Surveys, Using a Pretest-Posttest-Comparison-Group Design - Joseph George Caldwell
SAMPLE SIZE FOR ANALYTICAL SURVEYS, USING A PRETEST-POSTTEST-COMPARISON-GROUP DESIGN
Joseph George Caldwell
Copyright 2014 Joseph George Caldwell
Published by Joseph George Caldwell at Smashwords
2014 Edition, Revised October 9, 2014
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Sample Size for Analytical Surveys, Using a Pretest-Posttest-Comparison-Group Design
For descriptive surveys, the standard approach to
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