The document describes using principal factor analysis to analyze survey responses from IS graduates of De La Salle - College of Saint Benilde. It summarizes applying PFA to multiple parts of the survey to reduce the number of factors analyzed. For example, PFA was used to reduce factors on perceived student skills from 27 to 13, and factors on course relevance from 30 to 16. Overall PFA allowed reducing the total number of factors analyzed from 115 original items to 51 items, a reduction of over 40%.

1. Principal Factor Analysis of IS-Survey (and some EFA too…) By Paul Pajo

7. Correlation Matrix

8. Scree Plot (3 factors!)

9. Unrotated Factor Loading

10. Eigenvalues Explained Variance

16. Correlation Matrix

17. Scree Plot (4 factors!)

18. Unrotated Factor Loading

19. Eigenvalues Explained Variance

20. Varimax Raw Factor Loading Factor 1 is dominated by teacher skills that impact student interaction and discipline Factor 2 is dominated entirely by Final Academic Paper (FAP1) Interaction + Chairperson Factor 3 is dominated by entirely by FAP2 Interaction Factor 4 is dominated by faculty’s consultative activities

21. New survey reduces 33 to 19 items Factor 1 items will be 8 items on Faculty’s perceived student interaction and discipline Factor 2 items will be 4 items on Final Academic Paper (FAP1) Interaction including perceived Chairperson competency Factor 3 items will be 3 items focused only FAP2 Interaction Factor 4 items will be 4 items on Faculty’s perceived consultative activities

24. Correlation Matrix

25. Scree Plot (5 factors!)

26. Unrotated Factor Loading

27. Varimax Raw Factor Loading Factor 1 is dominated by the Systems Analysis & Design subjects Factor 2 is dominated by the accounting and business finance subjects Factor 3 is dominated by the Marketing and Management subjects Factor 4 is dominated by the programming, FAP and Practicum subjects Factor 5 is dominated by introduction to new frameworks/languages subjects

28. Eigenvalues Explained Variance

29. New Survey reduces from 30 to 16 Items Factor 1 items will be 2 items on the relevance of the Systems Analysis & Design subjects Factor 2 items will be 2 items on the relevance of the accounting and business finance subjects Factor 3 items will be 3 items on the relevance of the Marketing and Management subjects Factor 4 items will be 6 items on the relevance of the programming, FAP and Practicum subjects Factor 5 items will be 2 items on the relevance of introduction to frameworks/languages subjects

32. Correlation Matrix

33. Scree Plot (6 factors!)

34. Unrotated Factor Loading

35. Eigenvalues Explained Variance

36. Varimax Raw Factor Loading Factor 1 is only on helpful references Factor 2 is dominated by seminar/career related aspects Factor 3 is dominated by lecture and multimedia aspects Factor 4 is only on the LRC Factor 5 is only on the cafeteria Factor 5 is only Benildean Core values Note: adjusted eigenvalue factor loading threshold from .70 to .69 to load LRC to Factor 4

37. New survey reduces 25 items to 13 Factor 1 item is 1 item on helpful references Factor 2 items are 5 items on seminar/career-related aspects Factor 3 items are 4 items on lecture and multimedia aspects Factor 4 item is 1 item on LRC Factor 5 item is 1 item on cafeteria Factor 5 item is 1 item on Benildean Core values Note: chose this rotation, NOT only because it makes sense but because it extracts Benildean Core Values (ANIMO BENILDE!)