There is a very good presentation of PCA on wikipedia
https://en.wikipedia.org/wiki/Principal_component_analysis
Please read it !
Many thanks dear Anca Christine Pascu
Best regards
Kamal Hama Karim
Dear Anca,
1. First, interpret the Kaiser- Meyer-Olkin measure of sampling adequacy tests (KMO) and Bartlett’s Test of Sphericity results. If the analyses showed acceptable value of the KMO with significance of Bartlett’s Test of Sphericity, these indicate sampling adequacy, in which the items can be considered appropriate for factor analyses.
2. Report Eigenvalues (usually >1)
3. The ideal of performing PCA is for an exploratory factor analysis/factor structure to see how many factors are yielded or loaded on a particular factor. You should report the value of variance accounted for each factor and the factor loading range for the items.
4. Report items loaded on each factor.
5. Report communalities
6. Report floor and ceiling effects.
7. And report internal consistencies (Cronbach's alpha)
That's PCA. Good luck!
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