Item Selection Methods based on Multiple Objective Approaches for Classification of Respondents into Multiple Levels

Submitted by on Fri, 05/18/2012 - 16:25
TitleItem Selection Methods based on Multiple Objective Approaches for Classification of Respondents into Multiple Levels
Publication TypeConference Paper
Year of Publication2011
Authorsvan Groen, M, Eggen, T, Veldkamp, B
Conference NameAnnual Conference of the International Association for Computerized Adaptive Testing
Date Published10/2011
Keywordsadaptive classification test, CAT, item selection, sequential classification test
Abstract

Is it possible to develop new item selection methods which take advantage of the fact that we want to classify into multiple categories? New methods: Taking multiple points on the ability scale into account; Based on multiple objective approaches.

Conclusions

  • Sequential Classification Tests higher ATL than Adaptive Classification Tests
  • Sequential Classification Tests slightly lower PCD than Adaptive Classification Tests
  • Results also hold with three and four cutting points
Files: 
PDF icon IACAT 2011 van Groen Eggen Veldkamp Item Selection.pdf