Cognitive Diagnostic Assessment via Bayesian Evaluation of Informative Diagnostic Hypotheses

Herbert Hoitink, Sebastien Beland, Jorine Vermeulen

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

Abstract

There exist diverse approaches that can be used for cognitive diagnostic assessment, such as mastery testing, constrained latent class analysis, rule space methodology, diagnostic cognitive modeling, and person-fit analysis. Each of these approaches can be used within 1 of the 4 psychometric perspectives on diagnostic testing discussed by Borsboom (2008), that is, the dimensional, diagnostic, constructivist, and causal system perspectives. Bayesian evaluation of informative diagnostic hypotheses is an alternative for each of the other approaches that is more flexible in the diagnostic hypotheses that can be evaluated, and it can be used in each of the 4 psychometric perspectives on diagnostic testing. After being formulated, informative diagnostic hypotheses are evaluated by means of the Bayes factor using only the data from the person to be diagnosed. Already, relatively small diagnostic tests render Bayes factors that provide convincing evidence in favor of 1 of the diagnostic hypotheses under consideration
Original languageEnglish
Pages (from-to)21-38
JournalPsychological methods
Volume19
Issue number1
DOIs
Publication statusPublished - 2014

Keywords

  • METIS-303952
  • IR-91312

Fingerprint Dive into the research topics of 'Cognitive Diagnostic Assessment via Bayesian Evaluation of Informative Diagnostic Hypotheses'. Together they form a unique fingerprint.

Cite this