While I was writing up the analysis in my thesis, I just came across when rechecking my test for normality, that the p-value for most continuous variables was .000, which is less than .05, and it rejects the null hypothesis which means to my understanding my data is not normally distributed.
I have already completed the factor analysis with
Extraction Method: Principal Component Analysis &
Rotation Method: Oblimin with
Kaiser Normalization. All 88 continuous variables were reduced to 17 factors. Reliability was checked and all items were alpha .8 and above, and then performed multiple regression (standard) to analyze the overall effectiveness against the 17 predictor variables (factors). Then I ran a t-test to see how two groups of professionals responded to the overall effectiveness and the p-value was more than .05 in this test. All of a sudden now I am panicking whether I have done the it right in terms of the continuous variables since all had a p-value of .000? Is my final analysis valid?