Constrained dual scaling for detecting response styles in categorical data

DOI10.1007/s11336-015-9458-9zbMath1329.62466OpenAlexW2149502274WikidataQ30925993 ScholiaQ30925993MaRDI QIDQ906048

Pieter C. Schoonees, Michel Van De Velden, Patrick J. F. Groenen

Publication date: 29 January 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-015-9458-9

zbMATH Keywords

splinescorrespondence analysisnonnegative least squares\(K\)-meansdual scalingresponse style

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to psychology (62P15)

Related Items

Least-squares bilinear clustering of three-way data, Constrained dual scaling for detecting response styles in categorical data

Uses Software

• R
• nacopula
• cds

Cites Work

• Constrained dual scaling for detecting response styles in categorical data
• Optimising \(k\)-means clustering results with standard software packages
• Seriation by constrained correspondence analysis: a simulation study
• Finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research
• On the use of heterogeneous thresholds ordinal regression models to account for individual differences in response style
• Correspondence Analysis in Practice
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• A NEW MEASURE OF RANK CORRELATION
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