Data Issues

Waves 1 to 7
Data issues - Waves 1 to 7 – February 2019

Appendix B: Principal component analysis

Total variance explained

 
Component Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 6.437 71.517 71.517 6.437 71.517 71.517
2 .514 5.714 77.231      
3 .474 5.267 82.498      
4 .401 4.452 86.950      
5 .313 3.475 90.425      
6 .290 3.224 93.648      
7 .225 2.500 96.148      
8 .212 2.359 98.507      
9 .134 1.493 100.000      

Extraction Method: Principal Component Analysis.

Figure showing screen plot.

Component Score Coefficient Matrix
  Component 1
glc09a11 16.1 - Conveys ideas when speaking .123
glc09a20 16.2 - Understands and interprets a story read aloud .133
glc09a12 16.3 - Strategies to gain information .132
glc09a13 16.4 - Reads fluently .135
glc09a21 16.5 - Reads and comprehends expository text .132
glc09a16 16.6 - Composes multi-paragraph texts .137
glc09a17 16.7 - Redrafts writing .138
glc09a18 16.8 - Makes editorial corrections .134
glc09a19 16.9 - Uses computer for variety of purposes .118

Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalisation.

Acknowledgement

This appendix is prepared by Sam Rothman from the Australian Council for Educational Research.