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Statistical Power Analysis : A Simple and General Model for Traditional and Mode
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N.º de artículo de eBay:165763925551
Características del artículo
- Estado
- ISBN
- 9780415965552
Acerca de este producto
Product Identifiers
Publisher
Routledge
ISBN-10
0415965551
ISBN-13
9780415965552
eBay Product ID (ePID)
127374705
Product Key Features
Number of Pages
224 Pages
Language
English
Publication Name
Statistical Power Analysis : a Simple and General Model for Traditional and Modern Hypothesis Tests
Subject
Probability & Statistics / General, Statistics
Publication Year
2008
Type
Textbook
Subject Area
Mathematics, Social Science, Education, Psychology
Format
Hardcover
Dimensions
Item Height
0.8 in
Item Weight
17 Oz
Item Length
9.4 in
Item Width
6.9 in
Additional Product Features
Edition Number
3
Intended Audience
College Audience
LCCN
2008-037988
Dewey Edition
22
Reviews
"The change to the software is a substantial improvement and could go a long way to making power analysis more accessible. ... I often field ... questions along the lines of, "I have ten subjects per variable in my study - is that enough?" It would be refreshing to direct the questioner to a text that is as clear and usable as this one." - Stephen Brand, University of Rhode Island "I see much need for a guide on power analysis among the graduate students and I think many students will benefit from reading this book. ... I especially like the boxed sections. ... They greatly help readers understand basic concepts." - Jaihyun Park, Baruch College "The ... addition of worked examples for each type of analysis ... will ... make the book more useful. ... The boxed examples present difficult concepts in student-friendly language. ... I have used this book in the past ... in my graduate-level Experimental Design class. ... I would consider adopting it for my course." - Corinne Zimmerman, Illinois State University, "The change to the software is a substantial improvement and could go a long way to making power analysis more accessible. ... I often field ... questions along the lines of, I have ten subjects per variable in my study is that enough? It would be refreshing to direct the questioner to a text that is as clear and usable as this one."- Stephen Brand, University of Rhode Island "I see much need for a guide on power analysis among the graduate students and I think many students will benefit from reading this book. … I especially like the boxed sections. ... They greatly help readers understand basic concepts."- Jaihyun Park, Baruch College "The ... addition of worked examples for each type of analysis ... will ... make the book more useful. ... The boxed examples present difficult concepts in student-friendly language. ... I have used this book in the past ... in my graduate-level Experimental Design class. ... I would consider adopting it for my course."- Corinne Zimmerman, Illinois State University
Illustrated
Yes
Dewey Decimal
519.5/6
Table Of Content
1. The Power of Statistical Tests. 2. A Simple and General Model for Power Analysis. 3. Power Analyses for Minimum-Effect Tests. 4. Using Power Analyses. 5. Correlation and Regression. 6. t-Tests and the Analysis of Variance. 7. Multi-Factor ANOVA Designs. 8. Split-Plot Factorial and Multivariate Analyses. 9. The Implications of Power Analyses. Appendices.
Edition Description
Revised edition,New Edition
Synopsis
Noted for its accessible approach, this bestseller applies power analysis to both null hypothesis and minimum-effect testing using the same basic model. Through the use of a few relatively simple procedures and examples from the behavioral and social sciences, the authors show readers with little expertise in statistical analysis how to quickly obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to understand problems of study design, to evaluate research, and to choose the appropriate criterion for defining "statistically significant" outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis that is based on the F statistic. Statistical Power Analysisreviews how to determine: The sample size needed to achieve desired levels of power The level of power needed in a study The size of effect that can be reliably detected by a study Sensible criteria for statistical significance. The third edition features: Re-designed, user-friendly software at www.psypress.com/statistical-power-analysis that allows users to perform all of the book's analyses on a wider range of tests and conduct significance tests, power analyses, and assessments of N and alpha A new chapter on Complex ANOVA Designs that demonstrates the use of power analysis in split-plot and randomized block factorial designs New boxed sections that provide examples of power analysis in action and unique issues that arise when applying power analyses Expanded coverage of minimum-effect tests, the fundamentals of power analysis and the application of these concepts to correlational studies. Ideal for students and researchers in the social, behavioral, and health sciences, business, and education, this valuable resource helps readers apply methods of power analysis to their research. PV and F tables serve as a quick reference. More details - plus a link to download the One Stop F Calculator- can be found at http://www.psypress.com/statistical-power-analysis/ ., Noted for its accessible approach, this bestseller applies power analysis to both null hypothesis and minimum-effect testing using the same basic model. Through the use of a few relatively simple procedures and examples from the behavioral and social sciences, the authors show readers with little expertise in statistical analysis how to quickly obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to understand problems of study design, to evaluate research, and to choose the appropriate criterion for defining "statistically significant" outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis that is based on the F statistic. Statistical Power Analysis reviews how to determine: The sample size needed to achieve desired levels of power The level of power needed in a study The size of effect that can be reliably detected by a study Sensible criteria for statistical significance. The third edition features: Re-designed, user-friendly software at www.psypress.com/statistical-power-analysis that allows users to perform all of the book's analyses on a wider range of tests and conduct significance tests, power analyses, and assessments of N and alpha A new chapter on Complex ANOVA Designs that demonstrates the use of power analysis in split-plot and randomized block factorial designs New boxed sections that provide examples of power analysis in action and unique issues that arise when applying power analyses Expanded coverage of minimum-effect tests, the fundamentals of power analysis and the application of these concepts to correlational studies. Ideal for students and researchers in the social, behavioral, and health sciences, business, and education, this valuable resource helps readers apply methods of power analysis to their research. PV and F tables serve as a quick reference. More details - plus a link to download the One Stop F Calculator - can be found at http: //www.psypress.com/statistical-power-analysis/ .
LC Classification Number
QA277.M87 2008
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