Non-Parametric Resources
General Resources
This module, published by the Boston University School of Public Health, introduces non-parametric statistical tests and when they should be used, followed by tutorials on several tests.
This paper from the Critical Care Journal includes a short applied overview of the Sign Test, the Wilcoxon Signed Rank Test, and the Wilcoxon Rank Sum Test, followed by examples.
This paper from Duke Clinical Research Institute goes over when to use non-parametric tests, followed by a brief explanation and example SAS code for the Sign Test, the Wilcoxon Signed Rank Test, the Wilcoxon Rank Sum Test, the Kruskal-Wallis Test, and the Kolmogorov-Smirnov Test.
Sign Test Resources
A detailed Minitab example from the University of New Mexico.
R
Documentation for the BDSA R package Sign Test. Contains a brief description of the function, followed by R code examples.
Example code for the Sign Test using both the BDSA package function 'Sign.test' and base R, with brief explanations of each. Written by Avril Coghlan.
SAS
Brief annotated example of a one-sample Sign Test with output in SAS.
Wilcoxon Signed Rank Test Resources
General
This resource from University of New Mexico covers both the theory and application of the Wilcoxon Signed Rank Test. Examples are in R.
Minitab
This guide lays out the assumptions and Minitab procedure for the Wilcoxon Signed Rank Test and how to interpret the printed output.
R
Documentation for the R base Wilcoxon Signed Rank Test function. Contains a brief description, followed by R code examples.
SAS
Basic overview with a worked through example in SAS.
SPSS
This guide lays out the SPSS procedure for the Wilcoxon Signed Rank Test and how to interpret the printed output.
Wilcoxon Rank Sum Test/Mann-Whitney U Test/Wilcoxon-Mann-Whitney Test Resources
General
This resource from Chris Wild, University of Auckland, contains detailed, worked-through examples of the Wilcoxon Rank Sum Test.
Minitab
A short guide to the procedure and output interpretation for Wilcoxon Rank Sum/Mann-Whitney U Test in Minitab.
R
Brief overview of the Wilcoxon Rank Sum test assumptions and procedure, with a detailed example based in R.
SPSS
This guide lays out the SPSS procedure for the Wilcoxon Rank Sum/Mann-Whitney U Test and how to interpret the printed output.
A brief introduction to the Wilcoxon Rank Sum/Mann-Whitney U Test procedure, followed by an SPSS tutorial.
Kruskal-Wallis Test Resources
Minitab
Short explanation of when to use Kruskal-Wallis with brief Minitab instructions.
Minitab procedure and output interpretation.
R
Brief Kruskal-Wallis Test example in R.
Documentation for the R base Kruskal-Wallis Test function. Contains a brief description and several R code examples.
SPSS
This guide lays out the assumptions and SPSS procedure for the Kruskal-Wallis Test and how to interpret the printed output.
Post-Hoc Multiple Comparisons Testing for the Kruskal-Wallis Test
Dunn's Test
Instructions for downloading and using the macro, interpreting the output, followed by an explanation of Dunn's Test.
Brief instructions on running Dunn's Test in SPSS.
Documentation for the dunn.test R package Dunn's Test. Contains a brief description of the function, and several R code examples.
Links to a Dunn's Test SAS Macro, and two examples from Alan C. Elliot and Linda S. Hynan, UT Southwestern Medical Center.
Conover-Iman Test
Not currently available in SAS, SPSS, or Minitab.
Documentation for the conover.test R package. Contains a brief explanation of the Conover-Iman Test, a description of the function, several R code examples, and a description of the example data included in the package.
The Friedman Test Resources
R
Basic overview of the Friedman Test, with an annotated example. Written by Ellen Marshall and Basile Marquier, Sheffield University.
Documentation for the R base Friedman Test function. Contains a brief description and several R code examples.
SAS
Basic SAS tutorial for Chi-Squared based Friedman Test, to be used for large samples.
SPSS
This guide lays out the assumptions and SPSS procedure for the Friedman Test and how to interpret the printed output.
Post-hoc Multiple Comparison Testing for the Friedman Test
Conover's Test
Not available in SPSS or Minitab.
The Pairwise Multiple Comparison of Mean Ranks Package.
R function vignette which shows the calculations used in post-hoc testing for the Friedman Test.
Quade Test Resources
R
Detailed R example, with information on background, assumptions and interpretation.
Documentation for the R base Quade Test function. Contains a brief description and several R code examples.
SPSS
Instructions on running the Quade Test in SPSS. This can be method can be applied to other programs.
Post-Hoc Multiple Comparison Testing for Quade Test
Not available in SPSS, SAS, or MInitab.
The Pairwise Multiple Comparison of Mean Ranks Package.
R function vignette which shows the calculations used in post-hoc testing for the Quade Test.
Spearman's Rank Correlation Coefficient Resources
General
Excellent introduction to Spearman’s Rank Correlation, with visuals. Also goes over the interpretation of SPSS output.
Visual explanation of both Pearson and Spearman’s Correlation.
Goes over when to use Spearman’s Rank Correlation, the procedure for calculating it, and how to calculate it in Excel.
Minitab
This guide lays out the procedure for calculating Spearman's Correlation in Minitab and how to interpret the printed output.
R
Documentation for the R base correlation function. This function can output the Spearman's correlation coefficient. Contains a brief description and R code example.
Documentation for the R base correlation test function. This function tests for significance of the Spearman's correlation coefficient. Contains a brief description and R code example.
SAS
SAS Example - Correlation Coefficients
Example code for calculating Pearson, Spearman, and Kendall's Correlation with Fisher transformation based confidence intervals.
SPSS
This guide lays out the assumptions and procedure for calculating Spearman's Correlation in SPSS and how to interpret the printed output.
Kendall's Tau/Kendall Correlation Coefficient/Kendall's Coefficient of Concordance Resources
General
A brief explanation of the procedure for calculating Kendall's Tau, with links to tutorials on running it in Excel.
This guide lays out the assumptions and SPSS procedure for Kendall's Tau, how to interpret the printed output and report the results.
This tutorial gives a brief introduction to Kendall's Tau, followed by annotated R code for computing the correlation and testing its significance.
SAS Example - Correlation Coefficients: Penn State University
Example code for calculating Pearson, Spearman, and Kendall's Correlation with Fisher transformation based confidence intervals.