r x 2 Chi-square Test

The r x 2 Chi-square test is used when there are two variables, one with two levels, the other with more than two levels. Choose r x 2 Chi-square as the analysis and select the two variables for the test (hold down the'Ctrl' key on the keyboard while clicking on each of the two variable names).

In this example, which is 3 x 2, some of the participants were regular beer drinkers and some were not beer drinkers. They were given samples of beer to drink that varied only in the amount of alcohol they contained. They then had to choose which brand they preferred the taste of. To present the analysis, choose r x 2 Chi-square as the analysis and select the two variables for the test (use the 'Ctrl' key while clicking on each of the two variable names). Enter the significance level of the analysis, by either entering the p value or by choosing one of the buttons, from 'p > .05' to 'p < .001'.

Click 'OK' to obtain a description of the test used - note that the r in r x 2 Chi-square should be changed accordingly, in this case to 3.

Enter the observed counts in each of the cells - long cell lables may not be fully visible; but the column widths can be changed by dragging their border:

When you select 'Save and Preview' you can see the textual description of the analysis that LabWriteUp generates:

Note that a value of Cramer's V is produced; this value is an effect size of the difference between the cells. You can also plot a histogram of the frequencies:

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