Factor I
Content Standards in the Curriculum
Factor loading 1. Identify standard of curriculum related with certain concept .729
2. Mapping particular standard from curriculum .751
3. Make a proper order of physics concept according to the standards .649 Features Brief description Data Statistical Processing correlation matrix Inter-item correlations score:
6 Strong (4%), 76 moderate (47%), 80 weak (49%) Measures of sampling adequacy
(MSAs) KMO > .5 and significance,
Anti-image matrices No variables with diagonal anti-image correlations of less than .5 means no one variables should be excluded
Total variance explained test Two factors identified ( F1 and F2) with initial eigenvalue ≥1 Communalities The biggest score is .670 which more than .5 (item number 12)
Component Matrix Found 1 component factor which F1, F1 > .5; re-analyze with Varimax is used
Cronbach’s Alpha Reliability Since Cronbach’s alpha if item deleted are less than .930, no one items deleted
78
5. Sequencing certain physics concept .732
6. Know about physics content that I want to teach .700
17. Using physics way of thinking in the classroom .765
18. Mapping the scope of essential concepts from particular topics .705
4. Planning the sequence of concept .536
Factor II
Developing Concept for Practice
Factor loading 7. Knowing how far / high physics concept in certain topic .667 8. Know limitation of physics concept among other concepts .650 9. Sufficient knowledge about physics concepts in secondary level .643 10. Creating materials related with certain physics concept .542
11. Identify essential concepts from particular topics .649
12. Knowing various ways to understand the particular concept .801 13. Using physics way of thinking to develop understanding of physics concept .742
14. Knowing the scope of content in curriculum .601
15. Identify materials supported with particular physics concept .671
16. Identify ways of concepts construction .765
79 2. Pedagogical Knowledge (PK) for Item number 19 – 50
Factor I
Students Classroom Management
Factor loading 31. Adapting various way of teaching to keep student academically productive during a class .719 30. Identifying various ways of teaching to keep student academically productive during a
class
.592
28. Identifying various ways of classroom management to keep student organized, orderly and focus during a class
.663
29. Adapting various way of classroom management in the classroom to keep student organized, orderly and focus during a class
.710 Features Brief description Data Statistical Processing
correlation matrix Inter-item correlations score:
1 Very Strong (0.19%); 18 Strong (3.51%), 204 Moderate (39.8%), 287 weak (56%)
Measures of sampling
adequacy (MSAs) KMO > .5 and significance,
Anti-image matrices No variables with diagonal anti-image correlations of less than .5 means no one variables should be excluded
Total variance explained test Six components indicated with initial eigenvalue ≥1
Communalities The biggest score is .804 which more than .5 (item number 49) Component Matrix - Found 3 component factors which 2 Factors > .5; re-analyze with
Varimax is used - After the varimax-once:
Items 43, 36 and 42 are no one more than 0.5 on one of 6 factors;
The items are deleted and data is re-analyzed - After Varimax-second:
Item number 37 is no one more than 0.5 on one of 6 factors; The item is deleted and data is re-analyzed
Cronbach’s Alpha Reliability
- Since Cronbach’s alpha if item deleted are less than .948, no one items deleted.
- Deleted items from Component Matrix process are excluded
80
46. Identifying types of different learners .554
47. Adjust teaching style to different learners .535
Factor II
Teaching for Student Learning
Factor loading 19. Adapting teaching based on currently student understand or do not understand .590 20. Adapting teaching based on currently student understand or do not understand .506 22. Planning sequencing students to acquire targeted skills .563
44. Encouraging students feedback during classroom .710
45. Adjust teaching according to the students feedback .769
Factor III How Students Learn
Factor loading
21. Identify students acquire skills needed from standard .563
23. Knowing habits of mind can be delivered through learning particular concept .673 24. Knowing ways of developing habits of mind toward learning .568 25. Identifying positive disposition toward learning from standard .604 26. Identifying possible positive disposition through learning particular concept .616 27. Familiar with common students understanding and misconception .530
Factor IV Lesson Design
Factor loading 32. Design a roadmap of lesson plan related with expected objectives .671 33. Identify teachers help or facilitation in learning sequences .661
34. Predicting students responses during learning .640
35. Preparing responses for possible occurred of predicting students response .642 Factor V
Teaching Methods
Factor loading
38. Knowing teaching methods theoretically .794
39. Knowing ways of teaching methods in class .673
40. Identifying characteristic of various teaching methods .748
41. Determining particular applied teaching strategy in the classroom .541 Factor VI
Students Assessment
Factor loading
48. Knowing various of students assessment .763
49. Knowing ways of assessing students’ performance in a class .825
50. Using particular assessment in certain concept .703
81 3. Technological Knowledge (TK) for Item number 51 – 64
Features Brief description Data Statistical Processing correlation matrix Inter-item correlations score:
0 Very Strong (0%);13 Strong (13.2%), 53 Moderate (54%), 30 weak (30.6%), 2 none (2%)
Measures of sampling
adequacy (MSAs) KMO > .5 and significance,
Anti-image matrices No variables with diagonal anti-image correlations of less than .5 means no one variables should be excluded
Total variance explained test
Three components indicated with initial eigenvalue ≥1
Communalities The biggest score is .841 which more than .5 (item number 63)
Component Matrix - Found 3 items (64, 58, 63) which 2 Factors > .5; re-analyze with Varimax is used
- After the varimax-once:
Item no 55 is less than 0.5 of 6 factors; The items are deleted and data is re-analyzed
- After Varimax-second, all item number fulfilled .5 on one of three factors Cronbach’s Alpha
Reliability
- At Cronbach’s alpha if item deleted, only if item 57 deleted, the alpha would be are .916 which is less significance from .915; so no one items deleted.
- Deleted items from Component Matrix process are excluded
Factor I Intellectual Capabilities
Factor loading
51. Able to handle troubleshooting problems related with hardware (e.g. network connection) .785 52. Able to assist students with hardware problems with their PC or laptops .854 53. Addressing various computer issue related to software (e.g. installing program, dowloading) .685 54. Able to assist students with hardware problems with their PC or laptops .708 56. Able to assist students with hardware problems with their PC or laptops .849
Factor II Contemporary Skills
Factor loading
57. Comfortable using digital technology (cellphone, computer, tablet, etc.) .774
58. Frequently play around with computer application .790
59. Learn about new digital technology easily .811
82
60. Keep informed about new digital technologies .757
61. Know a lot of about new digital technologies .692
Factor II Foundational Concept
Factor loading
62. Knowing how to solve my own computer .640
63. Knowing ideas networking among computers .885
64. Using ideas of networking on data .871