Wilcoxon T Test:
Used when there is –
Hypothesis predicts a difference
A related design (repeated measures or matched pairs)
Ordinal data
Step one –
Rank your data (if some data is the same number, find average rank of no. of
ranks these numbers would have taken up)
Step two –
Add up sum of positive ranks, add up sum of negative ranks and find observed
value of T (smaller of the two rank totals)
Step three –
Find number of participants for N and establish if hypothesis is one-tailed or
two-tailed
Step four –
Use table of values to find critical value
Used when there is –
Hypothesis predicts a difference
A related design (repeated measures or matched pairs)
Ordinal data
Step one –
Rank your data (if some data is the same number, find average rank of no. of
ranks these numbers would have taken up)
Step two –
Add up sum of positive ranks, add up sum of negative ranks and find observed
value of T (smaller of the two rank totals)
Step three –
Find number of participants for N and establish if hypothesis is one-tailed or
two-tailed
Step four –
Use table of values to find critical value
