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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/85138


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/85138


    题名: 潛在群體分析與對應分析關係之探討
    作者: 林錦鈺
    贡献者: 江振東
    林錦鈺
    关键词: 潛在群體分析
    對應分析
    Latent class analysis
    Correspondence analysis
    日期: 2001
    上传时间: 2016-04-15 16:10:08 (UTC+8)
    摘要: 潛在群體分析及對應分析是在探討多個類別變數間關係常用的兩種分析方法，因其運用之領域不同，解說之方式不一，以致過去常被認為是兩種不相關的分析方法，然而實際卻非如此。本研究之目的係就雙變數及多變數的情況，針對這兩種分析方法間之關係作詳細的探討，並說明其對等及不對等的時機。
    Latent class analysis and correspondence analysis are two well-known methods that can be used to study the relationship between categorical variables. Since the two were developed and applied in two different fields in the past, they were never thought to be related. In this study, we examine the relationship between the two in more details. We further point out the situations where they are equivalent, and where they are not.
    參考文獻: Bartholomew, D. J. and Knott, M. (1999). Latent Variable Models and Factor Analysis, Oxford: Oxford Univ. Press.
    Benzecri, J. -P. et al. (1973). L’Analyse des Donnees. Tome (vol.) 1: La Taxinomie. Tome 2: L’Analyse des Correspondances. Dunod, Paris.
    Benzecri, J. -P. (1977). Histoire et prehistoire de l’analyse des donnees. 5-L’analyse des correspondances. Cahiers de l’Analyse des Donnees, 2, 9-40.
    Clausen, S.-E. (1998). Applied Correspondence Analysis, Sage Publications, Inc.
    Everitt, B. S. (1984). An Introduction to Latent Variable Models, Chapman & Hall, London.
    Fisher, R. A. (1940). The precision of discriminant functions. Ann. Eugen., 10, 422-429.
    Gifi, A. (1981). “Nonlinear Multivariate Analysis.” Department of Data Theory, University of Leiden, The Netherlands.
    Gilula, Z. (1979). Singular Value Decomposition of Probability Matrices: Probabilistic Aspects of Latent Dichotomous Variables, Biometrika, 66, 339-44.
    Gilula, Z. (1984). On Some Similarities Between Canonical Correlation Models and Latent Class Models for Two-way Contingency Tables, Biometrika, 71, 523-29.
    Goodman, L. A. (1974). Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models, Biometrika, 61, 215-31.
    Goodman, L. A. (1978). Analyzing qualitative/categorical data: Log-linear models and latent structure analysis. Cambridge, MA: Abt.
    Goodman, L. A. (1987). New Methods for Analyzing the Intrinsic Character of Qualitative Variables Using Cross-classified Data, American Journal of Sociology, 93, 529-83.
    Greenacre, M. J. (1984). Theory and Applications of Correspondence Analysis, Academic Press, London.
    Guttman, L. (1941). The quantification of a class of attributes: A theory and method of scale construction. In “The Prediction of Personal Adjustment” (Horst, P., ed), 319-348. Social Science Research Council, New York.
    Guttman, L. (1950). The principal components of scale analysis. In “Measurement and Prediction” (Stouffer, S. A., Guttman, L., Suchman, E. A., Lazarsfeld, P. F., Star, S. A. and Clausen, J. A., eds). Princeton University Press, Princeton.
    Guttman, L. (1959). Metricizing rank-ordered and ordered data for a linear factor analysis. Sankhy , 21, 257-268.
    Haberman, S. J. (1974). Log-linear models for frequency tables derived by indirect observation. Annals of Statistics, 2, 911-924.
    Haberman, S. J. (1976). Iterative scaling procedures for log-linear models for frequency data derived by indirect observation. Proceedings of the American Statistical Association 1975: Statistical Computing Section ,45-50.
    Haberman, S. J. (1979). Analysis of qualitative data. Vol 2. New developments. New York: Academic Press.
    Heinen, T. (1996). Latent Class and Discrete Latent Trait Models: Similarities and Differences, Advanced Quantitative Techniques in the Social Sciences, Sage Publications, Thousand Oaks, CA.
    Hirschfeld, H. O. (1935). A connection between correlation and contingency. Cambridge Philosophical Soc. Proc. (Math. Proc.) , 31, 520-524.
    Lazarsfeld, P. F. (1950a). The logical and mathematical foundation of latent structure analysis. In S. Stouffer (Ed.), Measurement and prediction, 362-412. Princeton, NJ: Princeton University Press.
    Lazarsfeld, P. F. (1950b). The interpretation and mathematical foundation of latent structure analysis. In S. Stouffer (Ed.), Measurement and prediction, 413-472. Princeton, NJ: Princeton University Press.
    Lazarsfeld, P. F., & Henry, N. W. (1968). Latent structure analysis. Boston: Houghton Mifflin.
    McCutcheon, A. L. (1987). Latent Class Analysis, Sage Publications, Inc.
    Tenenhaus, M., and Young, F. W. (1985). An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis, and other methods for quantifying categorical multivariate data. Psychometrika, 50, 91-119.
    van der Heijden, P. G. M., Gilula, Z. and van der Ark, L. A. (1999). An Extended Study Into The Relationship Between Correspondence Analysis And Latent Class Analysis, Sociological Methodology.
    描述: 碩士
    國立政治大學
    統計學系
    88354016
    資料來源: http://thesis.lib.nccu.edu.tw/record/#A2002001351
    数据类型: thesis
    显示于类别:[統計學系] 學位論文

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