Table of Contents
How do you do a Kolmogorov-Smirnov test in SPSS?
In order to test for normality with Kolmogorov-Smirnov test or Shapiro-Wilk test you select analyze, Descriptive Statistics and Explore. After select the dependent variable you go to graph and select normality plot with test (continue and OK).
How do you interpret the p-value for Kolmogorov-Smirnov?
The p-value returned by the k-s test has the same interpretation as other p-values. You reject the null hypothesis that the two samples were drawn from the same distribution if the p-value is less than your significance level.
What is a good Kolmogorov-Smirnov?
K-S should be a high value (Max =1.0) when the fit is good and a low value (Min = 0.0) when the fit is not good. When the K-S value goes below 0.05, you will be informed that the Lack of fit is significant.” I’m trying to get a limit value, but it’s not very easy.
What does the Kolmogorov-Smirnov statistic show?
“The Kolmogorov–Smirnov statistic quantifies a distance between the empirical distribution function of the sample and the cumulative distribution function of the reference distribution, or between the empirical distribution functions of two samples.”
What does it mean if Kolmogorov-Smirnov test is significant?
for Kolmogorov-Smirnov) is . 000 (reported as p < . 001). We therefore have significant evidence to reject the null hypothesis that the variable follows a normal distribution.
What does it mean if the Kolmogorov-Smirnov test is significant?
How do you Analyze normality in SPSS?
Quick Steps
- Click Analyze -> Descriptive Statistics -> Explore…
- Move the variable of interest from the left box into the Dependent List box on the right.
- Click the Plots button, and tick the Normality plots with tests option.
- Click Continue, and then click OK.
How do I interpret normality in SPSS with example?
How to do Normality Test using SPSS?
- Select “Analyze -> Descriptive Statistics -> Explore”. A new window pops out.
- From the list on the left, select the variable “Data” to the “Dependent List”. Click “Plots” on the right.
- The results now pop out in the “Output” window.
- We can now interpret the result.