#Spss data analysis how to#

If you have turned on the chi-square test results and have specified a layer variable, SPSS will subset the data with respect to the categories of the layer variable, then run chi-square tests between the row and column variables. Additionally, if you include a layer variable, chi-square tests will be run for each pair of row and column variables within each level of the layer variable.Д¬ Layer: An optional 'stratification' variable. A chi-square test will be produced for each table. The same is true if you have one column variable and two or more row variables, or if you have multiple row and column variables. You must enter at least one Column variable.ДЄlso note that if you specify one row variable and two or more column variables, SPSS will print crosstabs for each pairing of the row variable with the column variables. You must enter at least one Row variable.Д« Column(s): One or more variables to use in the columns of the crosstab(s). To create a crosstab and perform a chi-square test of independence, click Analyze > Descriptive Statistics > Crosstabs.ДЄ Row(s): One or more variables to use in the rows of the crosstab(s). Recall that the Crosstabs procedure creates a contingency table or two-way table, which summarizes the distribution of two categorical variables. In SPSS, the Chi-Square Test of Independence is an option within the Crosstabs procedure. Before running the test, you must activate Weight Cases, and set the frequency variable as the weight.You should have three variables: one representing each category, and a third representing the number of occurrences of that particular combination of factors.The value in the 'frequency' column for a given row is the number of unique subjects with that combination of categories.Each row in the dataset represents a distinct combination of the categories.Cases represent the combinations of categories for the variables.If you have frequencies (each row is a combination of factors):ДЄn example of using the chi-square test for this type of data can be found in the Weighting Cases tutorial. The categorical variables used in the test must have two or more categories. The dataset contains at least two nominal categorical variables (string or numeric).That is, each row represents an observation from a unique subject. Cases represent subjects, and each subject appears once in the dataset.Your data may be formatted in either of the following ways: If you have the raw data (each row is a subject): The categorical variables must include at least two groups. At minimum, your data should include two categorical variables (represented in columns) that will be used in the analysis.

#Spss data analysis how to#

The format of the data will determine how to proceed with running the Chi-Square Test of Independence. There are two different ways in which your data may be set up initially.