112014-01-22 15:38:25PeterWatson102014-01-22 15:38:05PeterWatson92013-05-31 09:13:27PeterWatson82013-05-31 09:11:55PeterWatson72013-03-08 10:17:16localhostconverted to 1.6 markup62011-07-27 15:26:48PeterWatson52011-06-22 14:24:31PeterWatson42011-06-22 14:23:35PeterWatson32007-08-16 14:08:43PeterWatson22007-08-16 13:54:13PeterWatson12007-08-16 13:53:15PeterWatson

(Note that since the below was written post-hoc tests have now become available in SPSS V18 and later for the nonparametric one-way ANOVA. This procedure uses Dunn's test (See also Hollander and Wolfe, 1999). Field (2013) gives some illustrations of its use). The syntax below performs a specified pairwise comparison between a subset pair of groups representing the within subject factor. The overall one-way repeated measures ANOVA, using ranked outcomes to compute and compare group rank sums, should be carried out first using Friedman's test (Siegal and Castellan, 1988). Sprent and Smeeton (2001) suggest using an analogous approach to the Least Significant Difference (LSD) parametric approach doing unprotected t-tests on subsets of pairs of groups provided there is an overall significant overall effect using Friedman's test. Post-hocs following a statistically significant Friedman's test can be done using this spreadsheet. References Field A (2013) Discovering statistics using IBM SPSS Statistics. Fourth Edition. Sage:London. Hollander M. & Wolfe D.A. (1999) Nonparametric statistical methods. Second Edition. Wiley:New York Siegel S., & Castellan N. J. Jr. (1988, 2nd ed.) Nonparametric statistics for the behavioral sciences. New York: McGraw–Hill. (First edition (1981) in CBSU library). Sprent P., Smeetom, NC (2001) Applied nonparametric statistical methods. Chapman and Hall:London. Details of the post-hoc tests.