- Title
- Simple and multiple ordered correspondence analysis to evaluate customer satisfaction
- Creator
- Lombardo, Rosaria; Beh, Eric J.
- Relation
- 3rd Annual ASEARC Research Conference. ASEARC: Proceedings of the Third Annual ASEARC Research Conference (Newcastle, N.S.W. 7-8 December, 2009)
- Relation
- http://www.uow.edu.au/informatics/maths/research/groups/asearc/2009rescon/index.html
- Publisher
- Applied Statistics Education and Research Collaboration (ASEARC)
- Resource Type
- conference paper
- Date
- 2009
- Description
- In marketing research, to evaluate customer satisfaction, individuals are often required to fill in questionnaires where responses are ordered. To analyze the association of these ordered categorical variables, an alternative method to the usual multiple correspondence analysis has been adopted. It is based not only on the classic singular value decomposition but on a hybrid decomposition.
- Subject
- correspondence analysis; ordered categorical variables; singular value decomposition; bivariate moment decomposition; hybrid decomposition
- Identifier
- uon:8783
- Identifier
- http://hdl.handle.net/1959.13/919134
- Identifier
- ISBN:9780980603484
- Full Text
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|---|---|---|---|---|---|---|---|
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