Dear professionals,
i run ANOVA test in SPSS and I found that three independent variables were not significant. I exclude them and re-run the test again ANOVA Test.
the result are almost the same, but the f value ( 180 to 318 ) and mean square ( 61 to 107) increased.
how i can interpret the result and show that after removing the insignificant variables the remain variables serve significantly the proposed research model?
Hello Sally Mohmad Mousa Al-Soni
I do not understand what you mean by removing insignificant variables. An ANOVA tells you whether there are significant differences in the mean of three or more groups with regard to a variable. In the picture you provided, the ANOVA's main effect is significant (p < .001), indicating that there is a difference between at least two groups.
Best
Marcel
Dear Marcel,
as you can notice in the attached picture the coefficients of the PPR, TE, and IQ are insignificant. but in SPSS i got ANOVA table when i run the regression before and after i exclude the factors that are insignificant. I would like to show that after i removed the insignificant factors , all the factors (PE,EE, SQ, TR) contributed are significant
Hi Sally Mohmad Mousa Al-Soni
now I understand that you are talking about a multiple regression not an ANOVA, but I still fail to see your problem: You have 7 variables, 4 of which are significant (p < .05), 3 are not. That is a "normal" result. Some predictors become significant, others do not.
Am I missing something here?
Best
Marcel
Hi Sally Mohmad Mousa Al-Soni
To interpret the ANOVA, you simply take the Fisher's value (F) and check whether this value is significant.
For example, in your case, Fstat=318.038 and the P-value=0.001, then you conclude that the overall model is good.
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