Non Parametric 1 Way Anova

Question 1

Kruskall Wallis

Independent

Answer 1

Used rank of scores rather than actual scores

Tests whether there are differences between the ranks of scores across more than 2 groups (or conditions)

Value given/ rank= add up same scores and divide by how many for it (mean)

Order back into ranked scores

Calculate mean of ranks

Question 2

Mann Whitney U

Post hoc test of kruskall Wallis

Answer 2

Non parametric t test

Compare each group against the other groups

Bonferroni corrected alpha

Question 3

Reporting results

Answer 3

Report results of anova
-eg as data not normally distributed, a kruskall-Wallis one way anova was performed on …., results showed….. (data report (H))

Report results of post hoc test
-eg bonferroni corrected post hoc Mann Whitney U test revealed…. (median= ) than …. (median= ; U= , p= )

Finish with sentence summarising
-eg these results suggest

Question 4

Friedman test

Repeated

Answer 4

Each row represents single ppt

Work our ranks cores for each pot in each condition

Calculate mean ranks= sum of ranks for each condition and divide by number of observations

Question 5

Wilcoxon test

Post hoc for repeated

Answer 5

Non parametric t tests

Compare each group against other groups

Bonferroni corrected alpha

Question 6

Reporting results of repeated

Answer 6

Same as independent

Friedman = X2
Wilcoxon = Z