The customer satisfaction in a reduced rank regression framework

TQM Magazine

Volumn 16, Issue 1, 2004, Pages 33-44

  Lovaglio, Pietro G ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

Customer satisfaction; Real estate; Regression analysis; Structural systems; Variance

Indexed keywords

ERROR ANALYSIS; MARKETING; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; PROBLEM SOLVING; REGRESSION ANALYSIS; STRUCTURAL DESIGN; STUDENTS;

CUSTOMER SATISFACTION (CS); REAL ESTATES; STRUCTURAL SYSTEMS; VARIANCE;

CUSTOMER SATISFACTION;

EID: 1142276098     PISSN: 0954478X     EISSN: None     Source Type: Journal    
DOI: 10.1108/09544780410511461     Document Type: Article

References (30)

1. Anderson, E.W. and Fornell, C. (2000), "Foundations of the American Customer Satisfaction Index", Total Quality Management, No. 11, pp. 869-82.
2. Bagozzi, R.P., Fornell, C. and Larcker, D.F. (1981), "Canonical correlation analysis as a special case of a structural relations model", Multivariate Behavioural Research, No. 16, pp. 437-54.
3. Bentler, P.M. (1982), "Linear system with multiple levels and types of latent variables", in Joreskog, K. and Wold, H. (Eds), System under Indirect Observation, North Holland, Amsterdam, pp. 101-30.
4. Bollen, K.A. (1989), Structural Equations with Latent Variables, Wiley, New York, NY.
5. Bollen, K.A. and Davis, W.R. (1994), Causal Indicator Models: Identification, Estimation and Testing, University of North Carolina at Chapel Hill, NC.
6. Cronin, J.J. Jr and Taylor, S.A. (1992), "Measuring service quality: a re-examination and extension", Journal of Marketing, No. 56, pp. 55-68.
7. Edwards, J.R. and Bagozzi, R.P. (2000), "On the nature and direction of relationships between constructs and measures". Psychological Methods, No. 5, pp. 155-74.
8. Everitt, B.S. (1984), An Introduction to Latent Variable Models, Chapman and Hall, New York, NY.
9. Faliva, M. (1987), Econometrics, Principles and Methods, UTET, Turin.
10. Fitzmaurice, G.M. and Laird, N.M. (1997), "Regression models for mixed discrete and continuous responses with potentially missing values", Biometrics, No. 53, pp. 110-22.
11. Fornell, C. (1992), "A national customer satisfaction barometer: the Swedish experience". Journal of Marketing, No. 56, pp. 6-21.
12. Garthwaite, P.H. (1994), "An interpretation of partial least squares", Journal of the American Statistical Association, No. 89, pp. 122-7.
13. Gifi, A. (1990), Nonlinear Multivariate Analysis, Department of Data Theory, University of Leiden, Leiden.
14. Haagen, K. and Vittadini, G. (1991), "Regression component decomposition in structural analysis", Communications in Statistics, No. 20, pp. 1153-61.
15. Joreskog, K. and Goldberger, S. (1975), "Estimation of a model with multiple indicators and multiple causes of a single latent variable", Journal of the American Statistical Association, No. 70, pp. 631-9.
16. Joreskog, K. and Sorbom, D. (1988), PRELIS - A Program for Multivariate Data Screening and Data Summarization. A Preprocessor for LISREL, 2nd ed., Chicago, IL.
17. Kruskal, J.B. (1965), "Analysis of factorial experiments by estimating monotone transformations of the data", Journal of Royal Statistical Society, Series B, No. 27, pp. 251-63.
18. Lovaglio, P.G. (2001), "The estimate of latent outcomes", in Proceedings on Processes and Statistical Methods of Evaluation, Scientific Meeting of Italian Statistic Society, Rome, 5-6 June, Tirrenia, pp. 393-6.
19. Maccallum, R.C. and Browne, M.W. (1993), "The use of causal indicators in covariance structure models: some practical issues", Psychological Bulletin, No. 114, pp. 533-41.
20. Miller, J.K. (1975), "The sampling distribution and a test for the significance of the bimultivariate redundancy statistic: a Monte Carlo study", Multivariate Behavioural Research, Vol. 10, pp. 233-44.
21. Parasuraman, A. Berry, L.L. and Zeithaml, V.A. (1991), "Refinement and reassessment of the SERVQUAL scale", Journal of Retailing, Vol. 67 No. 4, pp. 420-50.
22. Schonemann, P. and Steiger, J. (1976), "Regression component analysis", British Journal of Mathematical and Statistical Psychology, No. 29, pp. 175-89.
23. Tenenhaus, M. (1995), La Régression PLS: Théorie et Pratique, Editions Technip, Paris.
24. Thurstone, L.L. (1927), "The unity of measurement in educational scales", Journal of Educational Psychology, No. 18, pp. 505-24.
25. Tso, M.K.S. (1981), "Reduced rank regression and canonical analysis", Journal of the Royal Statistical Society, Series B No. 43, pp. 183-9.
26. Tucker, L.R. (1958), "An inter-battery method of factor analysis", Psychometrika, No. 23, pp. 33-47.
27. Vittadini, G. (1989), "Indeterminacy problems in the Lisrel model", Multivariate Behavioral Research, No. 24, pp. 397-414.
28. Vittadini, G. and Lovaglio, P.G. (2001), "The estimate of latent variables in a structural model: an alternative approach to PLS", 2nd International Symposium on PLS and Related Methods, October 1-3, Capri (Italy), Cisia Ceresta, Montreuil, pp. 423-34.
29. Wold, H. (1982), "Soft modelling: the basic design and some extension", in Joreskog, K. and Wold, H. (Eds), System Under Indirect Observation, Amsterdam, North Holland, pp. 1-53.
30. Wright, B.D. and Masters, G.N. (1982), Rating Scale Analysis, MESA Press, Chicago, IL.