05 which shows that there is a relationship between one’s religion and their belief in the afterlife.įinally, we interpret the test in everyday terms, which also means we look more closely at the crosstab table as well. As seen in the table below, the Chi-Square significance value is. 05, there is a relationship between the variables based on the level of confidence we stated in the beginning. (2-sided)” for the Pearson Chi-Square statistic is less than.
Select the independent variable (relig) to go in the column and the dependent variable (postlife) to go in the row.Īs we stated in the beginning, our alpha is. Once you click Crosstabs, a window will pop up where you will enter your chosen variables to be tested. To run the test, select: Analyze → Descriptives → Crosstabs. For this example religion is the independent variable and belief in the afterlife is the dependent variable. For this example we will use religion (relig) and belief in the afterlife (postlife). You must have two nominal variables from a single sample that you can use to see if there is a relationship between them. To do a Chi-Square test in SPSS, complete the following steps: The hypothesis we will test in this chapter is whether or not there is a relationship between religious affiliation and belief in the afterlife.
To calculate Chi-Square, we use a cross-tabulation, crosstab for short, which shows the frequencies of joint occurrences between two variables. An ordinal variable is similar to a nominal variable, but the categories can be put in an order (e.g., ranked highest to lowest). To reiterate, a nominal variable is one that is only measured by naming categories such as class, quality or kind. The Chi-Square test is used when trying to find a relationship between two nominal or ordinal variables.
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