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Volumn 94, Issue 2, 2010, Pages 157-166

Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM

Author keywords

Heteroscedasticity; Interaction effect; Monte Carlo study; Nonlinear model; Quadratic effect; Structural equation modeling

Indexed keywords


EID: 77953914264     PISSN: 18638171     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10182-010-0130-5     Document Type: Article
Times cited : (18)

References (15)
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    • doi:10.1007/s10182-010-0126-1
    • Barendse, M. T., Oort, F. J., Garst, G. J. A.: Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias: A simulation study. Adv. Stat. Anal. (2010). doi: 10. 1007/s10182-010-0126-1.
    • (2010) Adv. Stat. Anal.
    • Barendse, M.T.1    Oort, F.J.2    Garst, G.J.A.3
  • 5
    • 0001238112 scopus 로고    scopus 로고
    • Misleading interaction and curvilinear terms
    • Ganzach, Y.: Misleading interaction and curvilinear terms. Psychol. Methods 2, 235-247 (1997).
    • (1997) Psychol. Methods , vol.2 , pp. 235-247
    • Ganzach, Y.1
  • 7
    • 77953915172 scopus 로고    scopus 로고
    • Measurement bias and multidimensionality: An illustration of bias detection in multidimensional measurement models
    • doi:10.1007/s10182-010-0128-z
    • Jak, S., Oort, F. J., Garst, G. J. A.: Measurement bias and multidimensionality: An illustration of bias detection in multidimensional measurement models. Adv. Stat. Anal. (2010). doi: 10. 1007/s10182-010-0128-z.
    • (2010) Adv. Stat. Anal.
    • Jak, S.1    Oort, F.J.2    Garst, G.J.A.3
  • 10
    • 0002382866 scopus 로고    scopus 로고
    • Nonlinear structural equation models: The Kenny-Judd model with interaction effects
    • G. A. Marcoulides and R. E. Schumacker (Eds.), Mahwah: Erlbaum
    • Jöreskog, K. G., Yang, F.: Nonlinear structural equation models: The Kenny-Judd model with interaction effects. In: Marcoulides, G. A., Schumacker, R. E. (eds.) Advanced Structural Equation Modeling, pp. 57-87. Erlbaum, Mahwah (1996).
    • (1996) Advanced Structural Equation Modeling , pp. 57-87
    • Jöreskog, K.G.1    Yang, F.2
  • 11
    • 77953912358 scopus 로고    scopus 로고
    • Using structural equation modelling to detect measurement bias and response shift in longitudinal data
    • doi:10.1007/s10182-010-0129-y
    • King-Kallimanis, B. L., Oort, F. J., Garst, G. J. A.: Using structural equation modelling to detect measurement bias and response shift in longitudinal data. Adv. Stat. Anal. (2010). doi: 10. 1007/s10182-010-0129-y.
    • (2010) Adv. Stat. Anal.
    • King-Kallimanis, B.L.1    Oort, F.J.2    Garst, G.J.A.3
  • 12
    • 0034559665 scopus 로고    scopus 로고
    • Maximum likelihood estimation of latent interaction effects with the LMS method
    • Klein, A., Moosbrugger, H.: Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika 65, 457-474 (2000).
    • (2000) Psychometrika , vol.65 , pp. 457-474
    • Klein, A.1    Moosbrugger, H.2
  • 14
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    • Nonlinear structural equation modeling: Is partial least squares an alternative
    • doi:10.1007/s10182-010-0132-3
    • Schermelleh-Engel, K., Werner, C. S., Klein, A. G., Moosbrugger, H.: Nonlinear structural equation modeling: Is partial least squares an alternative? Stat. Anal. (2010). doi: 10. 1007/s10182-010-0132-3.
    • (2010) Stat. Anal.
    • Schermelleh-Engel, K.1    Werner, C.S.2    Klein, A.G.3    Moosbrugger, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.