메뉴 건너뛰기




Volumn 41, Issue 3, 2006, Pages 295-335

The performance of cross-validation indices used to select among competing covariance structure models under multivariate nonnormality conditions

Author keywords

[No Author keywords available]

Indexed keywords


EID: 33845971222     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15327906mbr4103_3     Document Type: Review
Times cited : (25)

References (31)
  • 1
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • B. N. Petrov & F. Csaki Eds, Budapest: Akademiai Kiado
    • Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N. Petrov & F. Csaki (Eds.), Second international symposium on information theory (pp. 267-281). Budapest: Akademiai Kiado.
    • (1973) Second international symposium on information theory , pp. 267-281
    • Akaike, H.1
  • 2
    • 33845722419 scopus 로고
    • Factor analysis and AIC
    • Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317-332.
    • (1987) Psychometrika , vol.52 , pp. 317-332
    • Akaike, H.1
  • 3
    • 21344489366 scopus 로고
    • Factors influencing cross-validation of confirmatory factor analysis models
    • Bandalos, D. L. (1993). Factors influencing cross-validation of confirmatory factor analysis models. Multivariate Behavioral Research, 28, 331-374.
    • (1993) Multivariate Behavioral Research , vol.28 , pp. 331-374
    • Bandalos, D.L.1
  • 4
    • 0345177562 scopus 로고    scopus 로고
    • Assessing sources of error in structural equation models: The effects of sample size, reliability, and model misspecification
    • Bandalos, D. L. (1997). Assessing sources of error in structural equation models: The effects of sample size, reliability, and model misspecification. Structural Equation Modeling, 4, 177-192.
    • (1997) Structural Equation Modeling , vol.4 , pp. 177-192
    • Bandalos, D.L.1
  • 6
    • 4243159210 scopus 로고
    • Significance tests and goodness of fit in the analysis of covariance structures
    • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.
    • (1980) Psychological Bulletin , vol.88 , pp. 588-606
    • Bentler, P.M.1    Bonett, D.G.2
  • 8
    • 34250108028 scopus 로고
    • Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
    • Bozdogan, H. (1987). Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions. Psychometrtka, 52, 345-370.
    • (1987) Psychometrtka , vol.52 , pp. 345-370
    • Bozdogan, H.1
  • 9
    • 0025391120 scopus 로고
    • Applications of covariance structure modeling in psychology: Cause for concern?
    • Breckler, S. J. (1990). Applications of covariance structure modeling in psychology: Cause for concern? Psychological Bulletin, 107, 260-273.
    • (1990) Psychological Bulletin , vol.107 , pp. 260-273
    • Breckler, S.J.1
  • 10
    • 84948875731 scopus 로고
    • Single sample cross-validation indices for covariance structures
    • Browns, M. W.. & Cudeck, R. (1989). Single sample cross-validation indices for covariance structures. Multivariate Behavioral Research, 24, 445-455.
    • (1989) Multivariate Behavioral Research , vol.24 , pp. 445-455
    • Browns, M.W.1    Cudeck, R.2
  • 14
    • 33846008111 scopus 로고    scopus 로고
    • De Gooijer, J. G., & Koopman, S. J. (1988). Cross-validation criteria and the analysis of covariance structures. In M. G. H. Jansen & W. H. van Schuur (Eds.), The many faces of multtvariate analysis: II. Proceedings of the SMABS-88 conference (pp. 296-311). Groningen, The Netherlands: RION.
    • De Gooijer, J. G., & Koopman, S. J. (1988). Cross-validation criteria and the analysis of covariance structures. In M. G. H. Jansen & W. H. van Schuur (Eds.), The many faces of multtvariate analysis: Vol. II. Proceedings of the SMABS-88 conference (pp. 296-311). Groningen, The Netherlands: RION.
  • 16
    • 0032262444 scopus 로고    scopus 로고
    • Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification
    • Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424-453.
    • (1998) Psychological Methods , vol.3 , pp. 424-453
    • Hu, L.1    Bentler, P.M.2
  • 17
    • 67650706330 scopus 로고    scopus 로고
    • Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
    • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
    • (1999) Structural Equation Modeling , vol.6 , pp. 1-55
    • Hu, L.1    Bentler, P.M.2
  • 19
    • 21844507468 scopus 로고
    • Incremental fit index changes for nested structural equation models
    • La Du, T. J., & Tanaka, J. S. (1995). Incremental fit index changes for nested structural equation models. Multivariate Behavioral Research, 30, 289-316.
    • (1995) Multivariate Behavioral Research , vol.30 , pp. 289-316
    • La Du, T.J.1    Tanaka, J.S.2
  • 20
    • 0642281964 scopus 로고    scopus 로고
    • Model selection information criteria for non-nested latent class models
    • Lin, T. H., & Dayton, C. M. (1997). Model selection information criteria for non-nested latent class models. Journal of Educational and Behavioral Statistics, 22, 249-264.
    • (1997) Journal of Educational and Behavioral Statistics , vol.22 , pp. 249-264
    • Lin, T.H.1    Dayton, C.M.2
  • 21
    • 0003653587 scopus 로고    scopus 로고
    • 3rd ed, Mahwah, NJ: Lawrence Erlbaum Associates, Inc
    • Loehlin, J. C. (1998). Latent variable models (3rd ed.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • (1998) Latent variable models
    • Loehlin, J.C.1
  • 22
    • 0033658169 scopus 로고    scopus 로고
    • Applications of structural equation modeling in psychological research
    • MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychology, 51, 201-226.
    • (2000) Annual Review of Psychology , vol.51 , pp. 201-226
    • MacCallum, R.C.1    Austin, J.T.2
  • 23
    • 0001348083 scopus 로고
    • Model modifications in covariance structure analysis: The problem of capitalization on chance
    • MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111, 490-504.
    • (1992) Psychological Bulletin , vol.111 , pp. 490-504
    • MacCallum, R.C.1    Roznowski, M.2    Necowitz, L.B.3
  • 24
    • 3142717451 scopus 로고
    • Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size
    • Marsh, H. W., Balla, J. R., & McDonald, R. P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103, 391-410.
    • (1988) Psychological Bulletin , vol.103 , pp. 391-410
    • Marsh, H.W.1    Balla, J.R.2    McDonald, R.P.3
  • 25
    • 58149368765 scopus 로고
    • The unicorn, the normal curve, and other improbable creatures
    • Micceri, T. ( 1989). The unicorn, the normal curve, and other improbable creatures. Psychological Bulletin, 105, 156-166.
    • (1989) Psychological Bulletin , vol.105 , pp. 156-166
    • Micceri, T.1
  • 28
    • 0038187864 scopus 로고    scopus 로고
    • Performance of bootstrapping approaches to model test statistics and parameter standard error estimation in structural equation modeling
    • Nevitt, J., & Hancock, G. R. (2001). Performance of bootstrapping approaches to model test statistics and parameter standard error estimation in structural equation modeling. Structural Equation Modeling, 8, 353-377.
    • (2001) Structural Equation Modeling , vol.8 , pp. 353-377
    • Nevitt, J.1    Hancock, G.R.2
  • 29
    • 1642425364 scopus 로고    scopus 로고
    • Approximate confidence interval for difference in fit of structural equation models
    • Raykov, T. (2001). Approximate confidence interval for difference in fit of structural equation models. Structural Equation Modeling, 8, 458-469.
    • (2001) Structural Equation Modeling , vol.8 , pp. 458-469
    • Raykov, T.1
  • 30
    • 33846025502 scopus 로고    scopus 로고
    • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461-464. Snee, R. D. (1997). Validation of regression models: Methods and examples. Technometrics, 19, 415-428.
    • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461-464. Snee, R. D. (1997). Validation of regression models: Methods and examples. Technometrics, 19, 415-428.
  • 31
    • 0842272144 scopus 로고
    • Simulating multivariate nonnormal distributions
    • Vale, C. D., & Maurelli, V. A. (1983). Simulating multivariate nonnormal distributions. Psychometrika, 48, 465-471.
    • (1983) Psychometrika , vol.48 , pp. 465-471
    • Vale, C.D.1    Maurelli, V.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.