求助各位大神!
IRT理论的Graded Response Model中有一个描述Latent Trait Score的Extremity Parameters应该如何理解?看文献说的:
The extremity parameters show the latent trait score at which people have a 50/50 chance of selecting certain responses.
The Extrmt1 is -1.790 suggesting that those with a latent trait score of -1.790 have a 50/50 chance of selecting a 1 for that item. The Extrmt2 is 1.230 and so those with a latent trait score of 1.230 have a 50/50 chance of selecting a 1 or a 2 for that item. Extrmt3 is the latent trait score at which people have a 50/50 chance of selecting a 1, a 2 or a 3. Extrmt4 is the latent trait score at which people have a 50/50 chance of selecting a 1, a 2, a 3 or a 4. Finally, Extrmt5 is the latent trait score at which people have a 50/50 chance of selecting a 1, 2, 3, 4 or 5.
这个下面不是说不同latent trait score的人所对应的大在第几个答对的情况。比如The Extrmt1 is -1.790 suggesting that those with a latent trait score of -1.790 have a 50/50 chance of selecting a 1 。可以理解为这种低score的人答对通常只能答对简单的题,对于score较高的但对问题难度的程度也较高。不知道是否是你所想要了解的?或许答非所问,但是大意是这样的。