ONE WAY ANOVA IN SPSS (interpretation)

As said earlier in my previous post that one way ANOVA test in SPSS is a test that compares mean score of groups of data. It involves carrying out a normality test of which we considered the Smirnoff kolmogorov test.

In this guide, I shall tend to elaborate more on interpretation of the result of one way ANOVA test.

After satisfaction that the normality In our groups of data agrees with the hypothesis, we can now proceed further to the test.

How to carryout one way ANOVA test in SPSS.

To carryout the one way ANOVA test,

Click on analyze.
Select compare means and
Click on one way ANOVA.

In the dialogue box of SPSS, you will be promoted to enter your dependent and independent (factor) variable.

Click on option
In order to indicate additional statistics which includes descriptive statistics, select the homogeneity of variance test. Note that this test was invented by a data scientist called levene. He invented the test of equality of means.

Click on post hoc test
It is needful to select the post hoc test if our independent variable Is more than two groups. Another Important information is to check for the two groups that is not different from each other.

Click on contrast

Contrast specifies the difference in mean scores. It allows you to join multiple groups into one if the groups are equal in size.

Output of the One way ANOVA test in SPSS

The result of the one way ANOVA test in SPSS constitutes different tables. The first table is the levene test

The levene test has its null hypothesis that the variance or difference between the groups are equal. Thus you have to compare the significance indication in the table with a 0.05 level of significance to determine if you accept of reject the null hypothesis.

The next table is the ANOVA table.

The ANOVA f test table has its null hypothesis that the means score between the groups are equal. Meaning that no variable has influence on the other.

Now
Check the level of significance in the table and compare with a 0.05level of significance to either accept or reject the null hypothesis.

Having considered the two tables, you can have the idea if there is a significant difference between the groups in consideration.

The last table in the ANOVA test is the means plot.

The means plot shows the margin of mean for each of the group in consideration. If the slope of the line in your means plot I marginal, it indicates that a variable has stronger influence on the other.

Conclusion
This article has been able to explain the topic on one way ANOVA in SPSS. However, this is the second part of this article.

I made a post of the first article on 25/12/21. You can as well search for it and blend it with the idea gotten from this section of the guide for proper understanding.

Should incase of further questions, it should be tabled in the comment section.

The different topics of Statistical Analysis will be treated, however of you need further coaching on the Statistical Analysis do well to contact me.