论文信息 - Simple and multiple ordered correspondence analysis to evaluate customer satisfaction

Simple and multiple ordered correspondence analysis to evaluate customer satisfaction

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.

Eric J. Beh | Rosaria Lombardo

[1] Eric J. Beh,et al. Simple Correspondence Analysis of Ordinal Cross‐Classifications Using Orthogonal Polynomials , 1997 .

[2] Phillip L. Emerson,et al. Numerical Construction of Orthogonal Polynomials from a General Recurrence Formula , 1968 .

[3] A. Parasuraman,et al. A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[4] Eric J. Beh,et al. A Comparative Study of Scores for Correspondence Analysis with Ordered Categories , 1998 .

[5] Eric J. Beh,et al. Simple Correspondence Analysis of Nominal-Ordinal Contingency Tables , 2008, Adv. Decis. Sci..

[6] Eric J. Beh,et al. Simple Correspondence Analysis: A Bibliographic Review , 2004 .

[7] A. Morineau,et al. Multivariate descriptive statistical analysis , 1984 .

[8] R. Clarke,et al. Theory and Applications of Correspondence Analysis , 1985 .

[9] Eric J. Beh,et al. Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials , 2007, Comput. Stat. Data Anal..

[10] Eric J. Beh,et al. Theory & Methods: Partitioning Pearson's Chi‐squared Statistic for Singly Ordered Two‐way Contingency Tables , 2001 .

[11] Jacqueline J. Meulman,et al. Multiple Correspondence Analysis via Polynomial Transformations of Ordered Categorical Variables , 2010, J. Classif..

[12] E. Beh,et al. Simple and multiple correspondence analysis for ordinal-scale variables using orthogonal polynomials , 2010 .