The Kaiser, Hunka and Bianchini factor similarity coefficients: A cautionary note

Multivariate Behavioral Research

Volumn 31, Issue 1, 1996, Pages 1-6

  Ten Berge, Jos M F ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0030470726     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15327906mbr3101_1     Document Type: Article

References (20)

1. Aptech Systems, Inc. (1988). The GAUSS System Version 2.0. Kent, WA: Author.
2. Baker, S. & Laird, N. (1988). Regression analysis for categorical variables with outcome subject to nonignorable nonresponse. Journal of the American Statistical Association, 83, 62-69.
3. Chen, T. & Fienberg, S. (1974). Two-dimensional contingency tables with both completely and partially cross-classified data. Biometrics, 30, 629-642.
4. Clogg, C. C. (1977). Unrestricted and restricted maximum likelihood latent structure analysis: A manual for users (Working paper 1977-09). University Park, PA: Populations Issues Research Office.
5. Dayton, C. M. & Macready, G. B. (1977). MODEL3G and MODELS: Programs for analysis of dichotomous, hierarchic structures. Applied Psychological Measurement, 1, 412.
6. Dayton, C. M. & Macready, G. B. (1988). Concomitant-Variable Latent-Class Models. Journal of the American Statistical Association, 83, 173-178.
7. Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, B39, 1-38.
8. Fuchs, C. (1982). Maximum likelihood estimation and model selection in contingency tables with missing data. Journal of the American Statistical Association, 77, 270-278.
9. Goodman, L. A. (1974). Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61, 215-231.
10. Haberman, S. J. (1978). Analysis of qualitative data, Vol. 1. Introductory topics. New York: Academic Press.
11. Hays, W. L. (1981). Statistics (3rd ed.). New York: Holt, Rinehart & Winston.
12. Hagenaars, J. (1990). Categorical longitudinal data: Log-linear panel, trend, and cohort analysis. London: Sage.
13. Hagenaars, J. & Luijkx, R. (1987). LCAG: Latent class analysis models and other log-linear models with latent variables: Manual LCAG (Working Paper Series #17). Tilburg, The Netherlands: Department of Sociology, Tilburg University.
14. Hartley, H. O. (1958). Maximum likelihood estimation from incomplete data. Biometrics, 14, 174-194.
15. Hocking, R. & Oxspring, H. (1974). The analysis of partially categorized contingency data. Biometrics, 30, 469-483.
16. Little, R. J. & Rubin, D. B. (1987). Statistical analysis with missing data. New York: John Wiley.
17. Little, R. J. & Rubin, D. B. (1989). The analysis of social science data with missing values. Sociological Methods and Research, 18, 292-326.
18. Rubin, D. B. (1974). Characterizing the estimation of parameters in incomplete-data problems. Journal of the American Statistical Association, 69, 467-474.
19. Rubin, D. B. (1976). Inference and missing data. Biometrika, 63, 581-590.
20. Winship, C. & Mare, R. D. (1989). Loglinear models with missing data: a latent class approach. In C. C. Clogg (Ed.), Sociological methods 1989. Washington, DC: American Sociological Association.