Checking for normality is a statistical procedure used to determine whether a data set follows a normal distribution. A normal distribution is a bell-shaped curve that is symmetrical around the mean. Many statistical tests assume that the data being analyzed is normally distributed. If the data is not normally distributed, the results of the test may be inaccurate.
There are several ways to check for normality in SPSS. One way is to use the Explore command. The Explore command will produce a variety of graphs and statistics that can be used to assess the normality of the data. To use the Explore command to check for normality, select the data set you want to analyze and then click on the Analyze menu. Then, select Descriptive Statistics and then Explore. In the Explore dialog box, select the variables you want to check for normality and then click on the Plots tab. The Plots tab will produce a variety of graphs that can be used to assess the normality of the data, including a histogram, a normal probability plot, and a boxplot.
