Biclustering models for two-mode ordinal data

Matechou, Eleni, Liu, Ivy, Fernandez, Daniel, Farias, Miguel, Gjelsvik, Bergljot (2016) Biclustering models for two-mode ordinal data. Psychometrika, . ISSN 0033-3123. E-ISSN 1860-0980. (doi:10.1007/s11336-016-9503-3)

Abstract

The work in this paper introduces finite mixture models that can be used to simul- taneously cluster the rows and columns of two-mode ordinal categorical response data, such as those resulting from Likert scale responses. We use the popular proportional odds parameterisation and propose models which provide insights into major patterns in the data. Model-fitting is performed using the EM algorithm and a fuzzy allocation of rows and columns to corresponding clusters is obtained. The clustering ability of the models is evaluated in a simulation study and demonstrated using two real data sets.

Item Type:	Article
DOI/Identification number:	10.1007/s11336-016-9503-3
Uncontrolled keywords:	EM algorithm; fuzzy clustering; Likert scale; proportional odds
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions:	Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User:	Eleni Matechou
Date Deposited:	08 Jun 2015 09:11 UTC
Last Modified:	29 May 2019 14:41 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/48948 (The current URI for this page, for reference purposes)