635
Bibliography
Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. In:
Proceedings of the 2nd International Symposium on Information Theory, B. N. Petrov and F.
Csaki, eds. Budapest: Akademiai Kiado. 267–281.
______. 1978. A Bayesian analysis of the minimum AIC procedure. Annals of the Institute of
Statistical Mathematics, 30: 9–14.
______. 1987. Factor analysis and AIC. Psychometrika, 52: 317–332.
Allison, P. D. 2002. Missing data. Thousand Oaks, CA: Sage Publications.
Anderson, E. 1935. The irises of the Gaspe Peninsula. Bulletin of the American Iris Society, 59:
2–5.
Anderson, T. W. 1957. Maximum likelihood estimates for a multivariate normal distribution
when some observations are missing. Journal of the American Statistical Association, 52:
200–203.
______. 1984. An introduction to multivariate statistical analysis. New York: John Wiley and
Sons.
Arbuckle, J. L. Unpublished, 1991. Bootstrapping and model selection for analysis of moment
structures.
______. 1994a. Advantages of model-based analysis of missing data over pairwise deletion.
Presented at the RMD Conference on Causal Modeling, West Lafayette, IN.
______. 1994b. A permutation test for analysis of covariance structures. Presented at the annual
meeting of the Psychometric Society, University of Illinois, Champaign, IL.
______. 1996. Full information estimation in the presence of incomplete data. In: Advanced
structural equation modeling, G. A. Marcoulides and R. E. Schumacker, eds. Mahwah, New
Jersey: Lawrence Erlbaum Associates.
Arminger, G., P. Stein, and J. Wittenberg. 1999. Mixtures of conditional mean- and covariance-
structure models. Psychometrika, 64:4, 475–494.