Multidimensional item response theory models for dichotomous data in customer satisfaction evaluation

DOI10.1080/02664763.2014.907395zbMath1352.62165OpenAlexW2074323177WikidataQ59418097 ScholiaQ59418097MaRDI QIDQ2953268

Pier Alda Ferrari, Federico Andreis

Publication date: 4 January 2017

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2434/234188

zbMATH Keywords

item response theoryMCMCdichotomous variablescustomer satisfactionMIRT

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Cites Work

• Multidimensional item reponse theory.
• Inference from iterative simulation using multiple sequences
• Fully conditional specification in multivariate imputation

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