contingency table percentages calculator

Contingency table percentages calculator how to#

with negative scores suggesting a negative association and positive scores suggesting a positive association. Kendall Tau b is scored on a scale of -1 to +1. If both your variables are ordinal, select Kendall's Tau b. Phi and Cramer's V are interpreted as follows: All others will return a Cramer's V score. Note you will only get a result for Phi if your table is a 2x2 table. If your data is Nominal (or nominal and ordinal) you can select either of the options, the most common one would be the Phi and Cramer's V. Beware a significant p-value only tells you that a relationship exists, it does not tell you anything about its strength.

In the final two sections, you select will need to select your measures of associations. Here you can specify what type of Hypothesis you had. You should also consider selecting Confidence intervals.

Contingency table percentages calculator how to#

Here is a short introduction on how to interpret them. If you have a 2x2 table, you may consider adding the odds ratio. If you have a small sample you might consider the Fishers Exact Test. Usually, you should continue with the default which is Chi-Square (X2). Otherwise, the table will become very confusing.ĭrag your variable into the relevant boxes.

If you drag Gender here, it will break down your data into the following three groups: Male, Female and total. Layers : This box allows us to group your Rows by another categorical variable(s). Rows: The levels of any variable you drag into this field will be displayed in the rows of the tableĬolumns: The levels of any variable you drag into this field will be displayed across the columns of the tableĬount (optional): If you want to weight your data, drag the relevant variable into this box. In the variables field you will see the following 4 options: Once you have done this navigate to Analyses > Frequencies > Contingency Tables - Independent Sample. These can give you a good idea of what might be going on in your data and help you decide whether a contingency table is necessary or not. Before you run a contingency table, consider generating a Frequency table in the Explore section.