Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes

Computational Statistics and Data Analysis

Volumn 53, Issue 4, 2009, Pages 1086-1098

  Wilderjans, Tom ^a   Ceulemans, Eva ^a   Van Mechelen, Iven ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPONENT MODELLING; DATA ANALYSIS; DATA BLOCKS; INDIVIDUAL DIFFERENCES; OBJECTIVE FUNCTION (OF); RESEARCH DOMAINS; RESEARCH QUESTIONS; SIMULATION STUDIES; SIMULTANEOUS ANALYSIS; SUPERIOR PERFORMANCE;

EID: 58549117848     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.09.031     Document Type: Article

References (18)

1. Carroll J.D., and Chang J.J. Analysis of individual differences in multidimensional scaling via an n-way generalization of "eckart-young" decomposition. Psychometrika 35 (1970) 283-319
2. De Boeck P., and Rosenberg S. Hierarchical classes: Model and data analysis. Psychometrika 53 (1988) 361-381
3. Haggard E.A. Intraclass Correlation and the Analysis of Variance (1958), Dryden, New York
4. Harshman, R.A., 1970. Foundations of the parafac procedure: Models and conditions for an explanatory multi-modal factor analysis. ucla Working Papers in Phonetics 16, pp. 1-84
5. Kiers H.A.L. Tuckals core rotations and constrained Tuckals modelling. Statistica Applicata 4 (1992) 659-667
6. Kiers H.A.L. Towards a standardized notation and terminology in multiway analysis. J. Chemometr. 14 (2000) 105-122
7. Kirk R.E. Experimental Design: Procedures for the Behavioral Sciences. 2nd edition (1982), Brooks/Cole, Belmont, CA
8. Kroonenberg P.M., and De Leeuw J. Principal component analysis of three-mode data by means of alternating least squares algorithms. Psychometrika 45 (1980) 69-97
9. Leenen I., Van Mechelen I., De Boeck P., and Rosenberg S. indclas: A three-way hierarchical classes model. Psychometrika 64 (1999) 9-24
10. Leenen I., Van Mechelen I., Gelman A., and De Knop S. Bayesian hierarchical classes analysis. Psychometrika 73 (2008) 39-64
11. Ramsay J.O. Some statistical approaches to multidimensional scaling data. J. Roy. Stat. Soc. A Stat. 145 (1982) 285-312
12. Smilde A.K., and Kiers H.A.L. Multiway covariates regression models. J. Chemometr. 13 (1999) 31-48
13. Smilde A.K., Westerhuis J.A., and Boqué R. Multiway multiblock component and covariates regression models. J. Chemometr. 14 (2000) 301-331
14. Timmerman M.E., and Kiers H.A.L. Three-mode principal component analysis: Choosing the numbers of components and sensitivity to local optima. British. J. Math. Statist. Psych. 53 (2000) 1-16
15. Tucker, L.R., 1951. A method for synthesis of factor analysis studies. Personnel Research Section Rapport # 984, Washington, DC: Department of the Army
16. Tucker L.R. Some mathematical notes on three-mode factor analysis. Psychometrika 31 (1966) 279-311
17. Van Mechelen I., and Schepers J. A unifying model involving a categorical and/or dimensional reduction for multimode data. Comput. Statist. Data Anal. 52 (2007) 537-549
18. Wilderjans, T., Ceulemans, E., Van Mechelen, I., The chic -model: A global model for coupled binary data. Psychometrika. in press (doi:10.1007/s11336-008-9069-9)