Statistical classification of item-response patterns into misconception groups in rule space

In an effort to further explore a specific aspect of rule-space theory, identification of students with respect to their error rules, three major questions were raised: (a) How do the discriminant-function approach (DA) and the k-nearest-neighbor approach (KNN) perform for the classification of each bivariate-normally- and non-bivariate-normally-distributed item-response patterns in rule space? (b) Is the use of rule-space model better than not using it for classifications? (c) What is the minimum pairwise distance for a 90% correct classification?

MoreLess

Year of publication:	1990
Authors:	Kim, Sung-Hoon
Other Persons:	Wardrop, James L. (contributor)
Subject:	Education \| Tests and Measurements

Open website |

More access options

I need help

More details

Type of publication:	Other
Language:	English
Source:	BASE