IBM SPSS Amos 21 Laptop User Manual


 
639
Bibliography
Draper, N. R., and H. Smith. 1981. Applied regression analysis. 2nd ed. New York: John Wiley
and Sons.
Edgington, E. S. 1987. Randomization Tests. 2nd ed. New York: Marcel Dekker.
Efron, B. 1979. Bootstrap methods: Another look at the jackknife. Annals of Statistics, 7: 1–26.
______. 1982. The jackknife, the bootstrap, and other resampling plans. (SIAM Monograph #38)
Philadelphia: Society for Industrial and Applied Mathematics.
______. 1987. Better bootstrap confidence intervals. Journal of the American Statistical
Association, 82: 171–185.
Efron, B., and G. Gong. 1983. A leisurely look at the bootstrap, the jackknife, and cross-validation.
American Statistician, 37: 36–48.
Efron, B., and D. V. Hinkley. 1978. Assessing the accuracy of the maximum likelihood estimator:
Observed versus expected Fisher information. Biometrika, 65: 457–87.
Efron, B., and R. J. Tibshirani. 1993. An introduction to the bootstrap. New York: Chapman and
Hall.
European Values Study Group and World Values Survey Association. European and world values
surveys four-wave integrated data file, 1981–2004. Vol. 20060423. 2006.
Felson, R.B., and G. W. Bohrnstedt 1979. “Are the good beautiful or the beautiful good?” The
relationship between children’s perceptions of ability and perceptions of physical
attractiveness. Social Psychology Quarterly, 42: 386–392.
Fisher, R. A. 1936. The use of multiple measurements in taxonomic problems. Annals of Eugenics,
7: 179–188.
Fox, J. 1980. Effect analysis in structural equation models. Sociological Methods and Research,
9: 3–28.
Fraley, C., and A. E. Raftery. 2002. Model-based clustering, discriminant analysis, and density
estimation. Journal of the American Statistical Association, 97:458, 611–631.
Frühwirth-Schnatter, S. 2004. Estimating marginal likelihoods for mixture and Markov switching
models using bridge sampling techniques. The Econometrics Journal, 7: 143–167.
Furnival, G. M., and R. W. Wilson. 1974. Regression by leaps and bounds. Technometrics, 16:
499–511.
Gelman, A., J. B. Carlin, H. S. Stern, and D. B. Rubin. 2004. Bayesian Data Analysis. 2nd ed. Boca
Raton: Chapman and Hall/CRC.
Gill, J. 2004. Introduction to the special issue. Political Analysis, 12:4, 323–337.
Graham, J. W., S. M. Hofer, S. I. Donaldson, D. P. MacKinnon, and J. L. Schafer. 1997. Analysis
with missing data in prevention research. In: The science of prevention: Methodological
advances from alcohol and substance abuse research, K. Bryant, M. Windle, and S. West, eds.
Washington, DC: American Psychological Association.