Reporting Normality Test in SPSS
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How to Run Normality Test in SPSS: Explanation Step by Step
From the SPSS menu, choose Analyze – Descriptives – Explore
A new window will appear. From the left box, transfer variables Age and Height into Dependent list box. Click Both in the Display box.
Click on Statistics… button. A new window will open. Choose Descriptives. Click Continue, and you will return to the previous box.
Click on Plots… button, New window will open. In the Boxplots box, choose Factor levels together. In the Descriptive box, choose Stem-and-leaf and Normality plots with tests. Click Continue, and you will return to the previous box. Click OK.
The test of normality results will appear in the output window.
How to report a Chi-square test for independence results: Explanation Step by Step
How to Report Case Processing Summary Table in SPSS Output?
The first table is the Case Processing summary table. It shows the number and percent of valid, missing and total cases for variables Age and Height.
How to Report Descriptive Statistics Table in SPSS Output?
The second table shows descriptive statistics for variable Age and Height.
How to Report P-Value of Kolmogorov-Smirnov and Shapiro-Wilk tests of normality Table in SPSS Output?
The third table shows the results of Kolmogorov-Smirnov and Shapiro-Wilk tests of normality (tests statistic, degrees of freedom, p-value). Since we have less than 50 observations (N = 32 < 50), we will interpret the Shapiro-Wilk test results.
Firstly, If p (Sig.) > 0.05, we fail to reject the null hypothesis and conclude that data is normally distributed so we must use parametric tests.
secondly, if the p-value is less than 0.05. Therefore, we must reject the null hypothesis in other words data is not normally distributed. Therefore, We must use nonparametric tests.
In our example, the p-value for age is 0.018 < 0.05. Therefore, we must reject the null hypothesis and conclude that age is not normally distributed.
How to Report Normal Q-Q Plot in SPSS output?
The output also shows the Normal Q-Q Plot for Age and Height.
Firstly, If the data points are close to the diagonal line on the chart so we conclude that data is normally distributed otherwise data set does not show normal distribution.
Lastly, From the chart for age, we can conclude that data points are not close to the diagonal line, we, therefore, conclude that data are not normally distributed.
How to Interpret a Normality Test Results in APA Style?
Shapiro-Wilk test of normality was conducted to determine whether Age and Height data is normally distributed. The results indicate that we must reject the null hypothesis for Age data (p = 0.018) and conclude that data is not normally distributed. Consequently, the results also indicate that we fail to reject the null hypothesis for Height data (p = 0.256) and conclude that data is normally distributed.
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