This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Nonparametric Statistics Compare two categories of the independent variable = MannWhitney If more than 2 categories of the independent variable = Kruskal Wallis If independent variable measured repeatedly in same individuals over time = Friedman Continuous o Linear association = Correlation (r) Is your sample size sufficient and data normally distributed (parametric)? = Pearsons correlation Is your sample size small or data skewed (nonparametric)? = Spearmans ranks o Predict how one variable determines the value of the other = Regression Analysis (r 2 ) Linear relationship = Regression equation (y=mx+b, m=slope) & significance test (slope differs from 0) Nonlinear relationship = Polynomial equation Multiple variables = Multiple Regression...
View Full
Document
 Spring '10
 BrandiVanRoo

Click to edit the document details