![spss version 25 chi square spss version 25 chi square](https://image.jimcdn.com/app/cms/image/transf/none/path/se35b642fc8f5161b/image/idf628806a8f8485d/version/1491562624/image.png)
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.
![spss version 25 chi square spss version 25 chi square](https://ezspss.com/wp-content/uploads/2019/04/chisquare1-1.jpg)
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.
![spss version 25 chi square spss version 25 chi square](https://cdn.slidesharecdn.com/ss_thumbnails/chi-squaretest2-161207073429-thumbnail-4.jpg)
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.