Correlation between dichotomous and ordinal variables
The steps for conducting a rank biserial correlation in SPSS
2. Click Analyze.
3. Drag the cursor over the Correlate drop-down menu.
4. Click on Bivariate.
5. Click on the dichotomous categorical outcome variable to highlight it.
6. Click on the arrow to move the variable into the Variables: box.
7. Click on the ordinal outcome variable to highlight it.
8. Click on the arrow to move the variable into the Variables: box.
9. Click OK.
The steps for interpreting the SPSS output for a rank biserial correlation
If the p-value is LESS THAN .05, then researchers have evidence of a statistically significant bivariate association between the two variables.
If the p-value is MORE THAN .05, then researchers have evidence that there is not a statistically significant association between the two variables.
Higher coefficients denote a stronger magnitude of relationship between variables. Smaller coefficients denote weaker relationships.
Positive correlations denote a relationship that travels at the same trajectory. As one value goes up, then the other value goes up. Also, as one value goes down, then the other value goes down too.
Negative correlations denote a relationship that travels in different directions. As one value goes up, the other value goes down. Also, as one value goes down, then the other value goes up.
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