Computerized Adaptive Testing
Monday, April 25, 2005
Finally, I realize Multidimensional Adaptive Testing system by myself. It is the first comparison of simulations between Random Administration (RA) and Information Gain selection rules. The simulation include 6 dimensions and 9 item banks (totally 1140 items). 600 examinee samples are created for calibration, and another 200 are for verification.Record the milestone of my work myself, and keep going ahead!!!
Friday, April 22, 2005
Tuesday, April 19, 2005
Progress in MAT
Dr. Wang's article "MAT Implementation" really help me a lot. I wrote programs to verify the simulation done by him, and the results are listed as follow.This is the correlation matrix among the 6 dimensions of latent traits specified in advance
1.0000 0.8000 0.8000 0.3000 0.3000 -0.4000
0.8000 1.0000 0.7000 0.2000 0.2000 -0.3000
0.8000 0.7000 1.0000 0.1000 0.2000 -0.2000
0.3000 0.2000 0.1000 1.0000 0.7000 -0.2000
0.3000 0.2000 0.2000 0.7000 1.0000 -0.2000
-0.4000 -0.3000 -0.2000 -0.2000 -0.2000 1.0000
I create 1000 examinees whose ability distribution and correlation satisfy the matrix above; also, I create 9 tests as Wang (160, 160, 160, 20, 20, 20, 200, 200, 200). Then, I produce response vectors by Segall (1996)'s way, and 1000 x 6 data samples be gotten.
Correlation coefficients are calculated based on the 1000 x 6 samples to verify if they follow the matrix listed above. The result is shown below:
1.0000 0.8228 0.8296 0.2621 0.2925 -0.3929
0.8228 1.0000 0.7724 0.1970 0.1985 -0.2852
0.8296 0.7724 1.0000 0.1207 0.2224 -0.2302
0.2621 0.1970 0.1207 1.0000 0.6769 -0.1953
0.2925 0.1985 0.2224 0.6769 1.0000 -0.2007
-0.3929 -0.2852 -0.2302 -0.1953 -0.2007 1.0000