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Statistical Power Analysis for the Behavioral Sciences (2nd Edition)
85% of respondents would recommend this to a friend
XCD 392
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Statistical Power Analysis is a nontechnical guide to power analysis in research planning
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Product Details
- Nontechnical guide to power analysis in research planning
- Provides users of applied statistics with effective analysis tools
- Includes new chapters on set correlation, multivariate methods, and effect size
- Covers psychometric reliability and qualifying dependent variables
- Expanded power and sample size tables for multiple regression/correlation
- 2nd Edition
| Publisher | Routledge |
| Publication date | July 1, 1988 |
| Edition | 2nd |
| Language | English |
| Print length | 590 pages |
| ISBN-10 | 0805802835 |
| ISBN-13 | 978-0805802832 |
| Item Weight | 2.5 pounds (1.13 kg) |
| Dimensions | 6.75 x 1.5 x 9.75 inches (17.1 x 3.8 x 24.8 cm) |
Who Should Buy?
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Graduate Students
Ideal for graduate students in psychology and social sciences needing rigorous statistical power analysis techniques.
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Researchers
Beneficial for researchers planning studies to determine sample sizes and optimize the statistical validity of findings.
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Educators
Helpful for educators teaching statistics in behavioral sciences, providing essential tools for power analysis concepts.
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Beginners
Not suitable for beginners without prior knowledge of statistics, as it assumes a certain level of expertise.
Product Description
Statistical Power Analysis for the Behavioral Sciences (2nd Edition)
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Probability & Statistics Editorial Review
Statistical Power Analysis for the Behavioral Sciences (2nd Edition) is an invaluable resource published by Routledge, focusing on the critical concepts of effect size and statistical power. This comprehensive 590-page book, released on July 1, 1988, provides readers with essential procedural guidelines for determining power across various research designs. Many users note its clarity and practical insights, making it a must-have reference for students and researchers alike. While some mention it doesn’t incorporate the latest statistical methods developed in recent years, it still serves as an important foundation for understanding the significance of effect size beyond mere p-values.
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Pros
- Comprehensive resource for effect size understanding
- Clear explanations of statistical power
- Essential for students and researchers
- Offers practical guidelines for power estimation
- Well-regarded reference text in the field
Cons
- Might not cover the latest statistical methods
Product Price History
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XCD 392
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Features & Benefits
- Provides tools for more effective analysis.
- Includes chapters covering power analysis in set correlation and multivariate methods.
- Considers effect size, psychometric reliability, and the efficacy of qualifying dependent variables.
- Expanded power and sample size tables for multiple regression/correlation.
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