Statistical Power Analysis for the Behavioral Sciences
Motivated by surveys indicating that data analyses published in top behavioral science and psychology journals between 1960 and 1982 were seriously lacking in statistical power, Jacob Cohen wrote the book Statistical Power Analysis for the Behavioral Sciences to draw attention to the problem and to provide a handbook of statistical power analysis for behavioral scientists.
The book covers power analysis based on various statistical tests commonly used in behavioral science. These tests include the following: (a) the t test for means, (b) significance test of a product-moment correlation coefficient, (c) test of the differences between correlation coefficients, (d) test to determine whether a proportion is 0.5 and the sign test, (e) test of the differences between proportions, (f) chi-square tests for goodness of fit and ...
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Reader's Guide
Descriptive Statistics
Distributions
Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
Mathematical Concepts
Measurement Concepts
Organizations
Publishing
Qualitative Research
Reliability of Scores
Research Design Concepts
Research Designs
Research Ethics
Research Process
Research Validity Issues
Sampling
Scaling
Software Applications
Statistical Assumptions
Statistical Concepts
Statistical Procedures
Statistical Tests
Theories, Laws, and Principles
Types of Variables
Validity of Scores
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