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Volumn 2711, Issue , 2003, Pages 22-36

Applications of latent class analysis in social science research

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA STRUCTURES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; RANDOM PROCESSES; RESEARCH; STATISTICAL METHODS; BEHAVIORAL RESEARCH;

EID: 8344282758     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45062-7_2     Document Type: Conference Paper
Times cited : (19)

References (25)
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    • Baum, L.E.1    Petrie, T.2    Soules, G.3    Weiss, N.4
  • 3
  • 6
    • 0009329815 scopus 로고
    • The analysis of systems of qualitative variables when some of the variables are unobservable: Part I - A modified latent structure approach
    • Goodman, L.A.: The analysis of systems of qualitative variables when some of the variables are unobservable: Part I - A modified latent structure approach. American Journal of Sociology 79 (1974) 1179-1259
    • (1974) American Journal of Sociology , vol.79 , pp. 1179-1259
    • Goodman, L.A.1
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    • 0035741575 scopus 로고    scopus 로고
    • Latent class factor and cluster models, bi-plots and related graphical displays
    • Magidson, J., Vermunt, J.K.: Latent class factor and cluster models, bi-plots and related graphical displays, Sociological Methodology 31 (2001) 223-264
    • (2001) Sociological Methodology , vol.31 , pp. 223-264
    • Magidson, J.1    Vermunt, J.K.2
  • 13
    • 0004193573 scopus 로고
    • Sage University Paper. Newbury Park: Sage Publications
    • McCutcheon, A.L.: Latent Class Analysis, Sage University Paper. Newbury Park: Sage Publications (1987)
    • (1987) Latent Class Analysis
    • McCutcheon, A.L.1
  • 14
    • 0042328650 scopus 로고
    • British social attitudes, 1983-1986 panel survey
    • London: Social and Community Planning Research
    • McGrath, K., Waterton, J.: British social attitudes, 1983-1986 panel survey. London: Social and Community Planning Research, Technical Report (1986)
    • (1986) Technical Report
    • McGrath, K.1    Waterton, J.2
  • 17
    • 0038785929 scopus 로고    scopus 로고
    • Log-linear models for event histories
    • Sage Publications
    • Vermunt, J.K.: Log-linear Models for Event Histories. Thousand Oakes: Series QASS, vol. 8. Sage Publications (1997)
    • (1997) Thousand Oakes: Series QASS , vol.8
    • Vermunt, J.K.1
  • 18
  • 19
    • 0035536725 scopus 로고    scopus 로고
    • The use restricted latent class models for defining and testing non-parametric and parametric IRT models
    • Vermunt, J.K.: The use restricted latent class models for defining and testing non-parametric and parametric IRT models. Applied Psychological Measurement 25 (2001) 283-294
    • (2001) Applied Psychological Measurement , vol.25 , pp. 283-294
    • Vermunt, J.K.1
  • 22
    • 8344281561 scopus 로고    scopus 로고
    • Factor analysis with categorical indicators: A comparison between traditional and latent class approaches
    • A. Van der Ark, M. Croon, and K. Sijstma. Erlbaum, (to appear)
    • Vermunt J.K., Magidson, J.: Factor Analysis with Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches. A. Van der Ark, M. Croon, and K. Sijstma. Advancements in Categorical Data Analysis. Erlbaum, (to appear)
    • Advancements in Categorical Data Analysis
    • Vermunt, J.K.1    Magidson, J.2
  • 23
    • 0142116731 scopus 로고    scopus 로고
    • A nonparametric random-coefficients approach: The latent class regression model
    • Vermunt, J.K., Van Dijk. L.: A nonparametric random-coefficients approach: the latent class regression model. Multilevel Modelling Newsletter 13 (2001) 6-13
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    • Vermunt, J.K.1    Van Dijk, L.2
  • 24
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    • Mixture regression models
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    • Wedel, M. and DeSarbo, W.: Mixture regression models. J. Hagenaars and A. McCutcheon (eds.), Applied Latent Class Analysis, 366-382. Cambridge University Press (2002)
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    • Wedel, M.1    Desarbo, W.2
  • 25
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    • Hierarchical latent class models for cluster analysis
    • to appear
    • Zhang, N.L.: Hierarchical latent class models for cluster analysis. Journal of Machine Learning Research (to appear)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.