Work

Finding archetypal patterns for binary questionnaires

Year: 2020

Type: article

Abstract: Archetypal analysis is an exploratory tool that explains a set of observations as mixtures of pure (extreme) patterns. If the patterns are actual observations of the sample, we refer to them as archetypoids. For the first time, we propose to use archetypoid analysis for binary observations. This tool can contribute to the understanding of a binary data set, as in the multivariate case. We illustrate the advantages of the proposed methodology in a simulation study and two applications, one exploring objects (rows) and the other exploring items (columns). One is related to determining student skill set profiles and the other to describing item response functions.

Source: Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)

DOI: 10.2436/20.8080.02.94

Authors: Cabero Fayos, Ismael, Epifanio López, Irene

Institution: Universidad Internacional de La Rioja

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Ministerio de Ciencia, Innovación y Universidades, Universitat Jaume I, Agencia Estatal de Investigación

Awards: G1475766357, G2359067705, G6695984487