How to do the test:

- State your Null Hypothesis in the form:

"The two variables do not covary in a linear fashion" - Choose a Critical Significance Level (α: alpha)

This is typically α = 0.05 - Calculate the statistic

Use a spreadsheet to calculate your results,**or**

Access a helpsheet for SPSS

and check here for data entry into SPSS - Reject or accept your Null Hypothesis

**Either**compare the calculated statistic with Critical Value,

If*r*≥_{S}*r*_{S critical}→ reject H_{0}→ significant result

If*r*<_{S}*r*_{S critical}→ accept H_{0}→ non-significant result

**or**

Look at the calculated probability (*P*value)

If*P*≤ α → reject H_{0}→ significant result

If*P*> α → accept H_{0}→ non-significant result - Report your results

Plot your data using the appropriate graphs

(Spearman Correlation:*r*= …,_{S}*df*= …,*P*= …)

View an example report