Ontology highlight
ABSTRACT:
SUBMITTER: Pena CS
PROVIDER: S-EPMC5794135 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
PloS one 20180201 2
In a typical questionnaire testing situation, examinees are not allowed to choose which items they answer because of a technical issue in obtaining satisfactory statistical estimates of examinee ability and item difficulty. This paper introduces a new item response theory (IRT) model that incorporates information from a novel representation of questionnaire data using network analysis. Three scenarios in which examinees select a subset of items were simulated. In the first scenario, the assumpti ...[more]