Non Way Parametric Test Wilcoxon using SPSS Complete

Non Way Parametric Test Wilcoxon using SPSS Complete | The Wilcoxon test is used to determine the difference in mean of two samples which are mutually exclusive. The wilcoxon test is a part of nonparametric statistics. Therefore, in the wicoxon test it is not necessary for normal distributed research data

Sample Case In Wilcoxon Test using SPSS

A teacher wants to examine whether student learning outcomes can improve after applying learning using discussion methods. The student learning outcomes before and after the application of discussion methods as the data below.

Non Way Parametric Test Wilcoxon using SPSS Complete

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Step by Step Test Wilcoxon using SPSS

1. Open the SPSS worksheet, then click Variable View, then in the Name field write down X1 and X2. Next to the Label column, write Before and After

Non Way Parametric Test Wilcoxon using SPSS Complete

2. The next step click Data View, then enter the research data into the available fields

Non Way Parametric Test Wilcoxon using SPSS Complete

3. Next step click Analyze - Non Parametric Test - Legacy Dialog - 2 Related Samples ...

Non Way Parametric Test Wilcoxon using SPSS Complete

4. The "Two-Related Sample Tests" dialog box appears. Next, enter the variable Before [X1] and After [X2 into the Test Pairs column simultaneously, then for the "Test Type" check (v) section on the Wilcoxon option, then click Ok to end the command

Non Way Parametric Test Wilcoxon using SPSS Complete

5. Then will appear SPSS Output Wilcoxon Test

Non Way Parametric Test Wilcoxon using SPSS Complete


Wilcoxon Test Decision Making Guide
  1. If the value of Asymp. Sig. (2-tailed) <0.05, then there are differences in student learning outcomes before and after the introduction of discussion methods.
  2. If the value of Asymp. Sig. (2-tailed)> 0.05, there is no difference in student learning outcomes before and after the introduction of discussion methods.

Making Conclusions for Wilcoxon Test

Based on Output Test Statistics test wilcoxon above, known asymp value. Sig. (2-tailed) by 0,000. Because of the value of Asymp value. Sig. (2-tailed) 0.000 <0.05, it can be concluded that there are differences in student learning outcomes before and after the introduction of discussion methods. Thus it can be said also that the application of methods of discussion in learning can improve student learning outcomes

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