Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. This comprehensive, accessible book provides practicing researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables that make further calculations or statistical expertise unnecessary.
Power Analysis for Experimental Research
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Book Description
Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. This comprehensive, yet accessible, book provides practising researchers with easy-to-use tables accompanied by step-by-step instructions for conducting a power/sample size analysis, assuming only basic prior knowledge of summary statistics and the normal distribution. It will be an indispensable text for researchers and graduates in the medical and biological sciences wanting to apply power analysis in the design of their experiments.
About the Author
R. Barker Bausell is Professor at the University of Maryland School of Medicine and Director of Research of the Complementary Medicine Program.
YU-FANG LI is a Data Analyst at the Department of Veteran's Affairs, Puget Sound Health Care System in Seattle, Washington.
YU-FANG LI is a Data Analyst at the Department of Veteran's Affairs, Puget Sound Health Care System in Seattle, Washington.
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4.0 out of 5 stars
Very good intro in power analysis.,
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This review is from: Power Analysis for Experimental Research: A Practical Guide for the Biological, Medical and Social Sciences (Hardcover)
I liked the author's review of power analysis and I have shared it with other people. I was very grateful to Bausell replying back to me with a copy of his software.
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Inside This Book
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First Sentence:
As currently practiced in the social and health sciences, inferential statistics rest solidly upon two pillars: statistical significance and statistical power. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
high dispersion pattern, preliminary template, power analytic perspective, bronchial episodes, nixed design, obtaining statistical significance, best theoretical evidence, most likely correlation, desired power level, indicated subtractions, largest mean difference, intervening groups, drug main effect, true acupuncture, strongest treatment, achieving statistical significance, power row, sample size table, choose the appropriate model, blocking variable, studentized range statistic, sample size analysis, power template, sham acupuncture, hypothesized interaction Key Phrases - Capitalized Phrases (CAPs): (learn more)
Controlled Clinical Trials, F-ratio Steps, Difference Al Intervention, Difference Intervention, Journal of the American Statistical Association, Males Females, Contrast Chart Contrast Chart Contrast Chart, Journal of Chronic Diseases, Arthritis Foundation, Design Power Sample, Jacob Cohen, Lawrence Erlbaum, Professor Cohen New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
As currently practiced in the social and health sciences, inferential statistics rest solidly upon two pillars: statistical significance and statistical power. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
high dispersion pattern, preliminary template, power analytic perspective, bronchial episodes, nixed design, obtaining statistical significance, best theoretical evidence, most likely correlation, desired power level, indicated subtractions, largest mean difference, intervening groups, drug main effect, true acupuncture, strongest treatment, achieving statistical significance, power row, sample size table, choose the appropriate model, blocking variable, studentized range statistic, sample size analysis, power template, sham acupuncture, hypothesized interaction Key Phrases - Capitalized Phrases (CAPs): (learn more)
Controlled Clinical Trials, F-ratio Steps, Difference Al Intervention, Difference Intervention, Journal of the American Statistical Association, Males Females, Contrast Chart Contrast Chart Contrast Chart, Journal of Chronic Diseases, Arthritis Foundation, Design Power Sample, Jacob Cohen, Lawrence Erlbaum, Professor Cohen New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 2
books:
- Marketing Research by Wrenn Stevens in Back Matter
- How Many? (Photo Board Books) by Moira Butterfield in Back Matter
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