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Volumn 12, Issue 4, 2005, Pages 578-597

Issues in evaluating model fit with missing data

Author keywords

[No Author keywords available]

Indexed keywords

CORRECT MODELS; EVALUATING MODELS; INCOMPLETE DATA; MISSING AT RANDOMS; MISSING DATA; MISSPECIFIED MODELS; ROOT MEAN SQUARED ERRORS; SOFTWARE DEVELOPER;

EID: 32944466272     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15328007sem1204_4     Document Type: Article
Times cited : (59)

References (28)
  • 1
    • 84936025682 scopus 로고
    • Estimation of linear models with incomplete data
    • C. C. Clogg (Ed.). San Francisco: Jossey-Bass
    • Allison, P. D. (1987). Estimation of linear models with incomplete data. In C. C. Clogg (Ed.), Sociological methodology (pp. 71-103). San Francisco: Jossey-Bass.
    • (1987) Sociological Methodology , pp. 71-103
    • Allison, P.D.1
  • 2
    • 0000254441 scopus 로고
    • Maximum likelihood estimates for a multivariate normal distribution when some observations are missing
    • Anderson, T. W. (1957). Maximum likelihood estimates for a multivariate normal distribution when some observations are missing. Journal of the American Statistical Association, 52, 200-203.
    • (1957) Journal of the American Statistical Association , vol.52 , pp. 200-203
    • Anderson, T.W.1
  • 3
    • 0002914202 scopus 로고    scopus 로고
    • Full information estimation in the presence of incomplete data
    • G. A. Marcoulides & R. E. Schumacker (Eds.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 243-277). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • (1996) Advanced Structural Equation Modeling: Issues and Techniques , pp. 243-277
    • Arbuckle, J.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
  • 7
    • 0001233581 scopus 로고
    • Alternative ways of assessing model fit
    • K. A. Bollen & J. S. Long (Eds.). Newbury Park, CA: Sage
    • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
    • (1993) Testing Structural Equation Models , pp. 136-162
    • Browne, M.W.1    Cudeck, R.2
  • 8
    • 4544329633 scopus 로고    scopus 로고
    • An analysis of incomplete data
    • L. M. Collins& A.G. Sayers (Eds.). Washington, DC: American Psychological Association
    • Davey, A. (2001). An analysis of incomplete data. InL. M. Collins& A.G. Sayers (Eds.), New methods for the analysis of change (pp. 379-383). Washington, DC: American Psychological Association.
    • (2001) New Methods for the Analysis of Change , pp. 379-383
    • Davey, A.1
  • 9
  • 10
    • 0000885702 scopus 로고    scopus 로고
    • The relative performance of full information maximum likelihood estimation for missing data in structural equation models
    • Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430-457.
    • (2001) Structural Equation Modeling , vol.8 , pp. 430-457
    • Enders, C.K.1    Bandalos, D.L.2
  • 11
    • 0347249765 scopus 로고    scopus 로고
    • Adding missing-date-relevant variables to FIML-based structural equation models
    • Graham, J. W. (2003). Adding missing-date-relevant variables to FIML-based structural equation models. Structural Equation Modeling, 10, 80-100.
    • (2003) Structural Equation Modeling , vol.10 , pp. 80-100
    • Graham, J.W.1
  • 15
    • 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
  • 16
    • 84950452119 scopus 로고
    • Modeling the drop-out mechanism in repeated-measures studies
    • Little, R. J. A. (1995). Modeling the drop-out mechanism in repeated-measures studies. Journal of the American Statistical Association, 90, 1112-1121.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 1112-1121
    • Little, R.J.A.1
  • 17
    • 84965572693 scopus 로고
    • The analysis of social science data with missing values
    • Little, R. J. A., & Rubin, D. B. (1989-1990). The analysis of social science data with missing values. Sociological Methods and Research, 18, 292-326.
    • (1989) Sociological Methods and Research , vol.18 , pp. 292-326
    • Little, R.J.A.1    Rubin, D.B.2
  • 18
    • 0001816371 scopus 로고    scopus 로고
    • An evaluation of incremental fit indices: A clarification of mathematical and empirical properties
    • G. A. Marcoulides & R. E. Schumacker (Eds.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • Marsh, H. W., Balla, J. R., & Hau, K. (1996). An evaluation of incremental fit indices: A clarification of mathematical and empirical properties. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 315-351). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • (1996) Advanced Structural Equation Modeling: Issues and Techniques , pp. 315-351
    • Marsh, H.W.1    Balla, J.R.2    Hau, K.3
  • 19
    • 0002652913 scopus 로고
    • An index of goodness-of-fit based on noncentrality
    • McDonald, R. P. (1989). An index of goodness-of-fit based on noncentrality. Journal of Classification, 6, 97-103.
    • (1989) Journal of Classification , vol.6 , pp. 97-103
    • McDonald, R.P.1
  • 20
    • 0001109923 scopus 로고
    • Performing likelihood ratio tests with multiply-imputed data sets
    • Meng, X.-L., & Rubin, D. B. (1992). Performing likelihood ratio tests with multiply-imputed data sets. Biometrika, 79, 103-111.
    • (1992) Biometrika , vol.79 , pp. 103-111
    • Meng, X.-L.1    Rubin, D.B.2
  • 22
    • 0001010853 scopus 로고
    • On structural equation modeling with data that are not missing completely at random
    • Muthén, B., Kaplan, D., & Hollis, M. (1987). On structural equation modeling with data that are not missing completely at random. Psychometrika, 52, 431-462.
    • (1987) Psychometrika , vol.52 , pp. 431-462
    • Muthén, B.1    Kaplan, D.2    Hollis, M.3
  • 25
    • 85047673373 scopus 로고    scopus 로고
    • Missing data: Our view of the state of the art
    • Schafer, J. L., & Graham, J. E. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147-177.
    • (2002) Psychological Methods , vol.7 , pp. 147-177
    • Schafer, J.L.1    Graham, J.E.2
  • 26
    • 0003795888 scopus 로고    scopus 로고
    • Goodness-of-fit criteria
    • R. E. Schumaker & R. G. Lomax. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • Schumacker, R. E., & Lomax, R. G. (1996). Goodness-of-fit criteria. In R. E. Schumaker & R. G. Lomax, A beginner's guide to structural equation modeling (pp. 119-137). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • (1996) A Beginner's Guide to Structural Equation Modeling , pp. 119-137
    • Schumacker, R.E.1    Lomax, R.G.2
  • 27
    • 0034412441 scopus 로고    scopus 로고
    • Design and analysis of Monte Carlo experiments: Attacking the conventional wisdom
    • Skrondal, A. (2000). Design and analysis of Monte Carlo experiments: Attacking the conventional wisdom. Multivariate Behavioral Research, 35, 137-167.
    • (2000) Multivariate Behavioral Research , vol.35 , pp. 137-167
    • Skrondal, A.1
  • 28
    • 6744245357 scopus 로고
    • A reliability coefficient for maximum likelihood factor analysis
    • Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10.
    • (1973) Psychometrika , vol.38 , pp. 1-10
    • Tucker, L.R.1    Lewis, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.