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Principles & Methods of Statistical Analysis

by Jerome Frieman, Donald A. Saucier and Stuart S. Miller

Student Resources

  1. The Big Picture
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  2. Examining Our Data
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  3. Properties of Distributions
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  4. Estimating Parameters of Populations From Sample Data
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  5. Resistant Estimators of Parameters
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  6. General Principles of Hypothesis Testing
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  7. The Independent Groups t-Tests for Testing for Differences Between Population Means
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  8. Testing Hypotheses When the Dependent Variable Consists of Frequencies of Scores in Various Categories
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  9. The Randomization/Permutation Model
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  10. Exploring the Relationship Between Two Variables: Correlation
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  11. Exploring the Relationship Between Two Variables: The Linear Regression Model
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  12. A Closer Look at Linear Regression
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  13. Another Way to Scale the Size of Treatment Effects
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  14. Analysis of Variance for Testing for Differences Between Population Means
    • Quiz
    • Web Resources
    • SAGE Journal Articles
  15. Multiple Regression and Beyond
    • Quiz
    • Web Resources
    • SAGE Journal Articles

Web Resources

Click on the following links. Please note these will open in a new window.

This video gives an example of how a study of identical twins uses correlation to test the influence of nature versus nurture.

This website elaborates on the use and misuse of correlation coefficients.

This website offers scatter plot depictions of correlation and examples of when one would need to use this formula.

This website provides bivariate correlation comparisons as well as a Fisher’s Z-transformation in a study about how two criterion variables, loneliness and depression, and two predictors, family social support and stress, correlate.

This website explains and gives the advantages of using the Spearman rank-order correlation coefficient.

 

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