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Volumn 15, Issue 3, 2008, Pages 434-448

A note on the use of missing auxiliary variables in full information maximum likelihood-based structural equation models

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; STATISTICAL METHODS;

EID: 47949104235     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1080/10705510802154307     Document Type: Article
Times cited : (82)

References (12)
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    • 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
  • 2
    • 0035755636 scopus 로고    scopus 로고
    • A comparison of inclusive and restrictive strategies in modern missing data procedures
    • Collins, L. M., Schafer, J. L., & Kam, C.-H. (2001). A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychological Methods, 6, 330-351.
    • (2001) Psychological Methods , vol.6 , pp. 330-351
    • Collins, L.M.1    Schafer, J.L.2    Kam, C.-H.3
  • 3
    • 0035756118 scopus 로고    scopus 로고
    • The impact of nonnormality on full, information maximum likelihood estimation for structural equation models with missing data
    • Enders, C. K. (2001). The impact of nonnormality on full, information maximum likelihood estimation for structural equation models with missing data. Psychological Methods, 6, 352-370.
    • (2001) Psychological Methods , vol.6 , pp. 352-370
    • Enders, C.K.1
  • 4
    • 33645894571 scopus 로고    scopus 로고
    • Analyzing structural equation models with missing data
    • G. R. Hancock & R. O. Mueller Eds, Greenwich, CT: Information Age
    • Enders, C. K. (2006). Analyzing structural equation models with missing data. In G. R. Hancock & R. O. Mueller (Eds.), A second course in structural equation modeling (pp. 313-344). Greenwich, CT: Information Age.
    • (2006) A second course in structural equation modeling , pp. 313-344
    • Enders, C.K.1
  • 5
    • 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
  • 6
    • 0347249765 scopus 로고    scopus 로고
    • Adding missing-data relevant variables to FIML-based structural equation models
    • Graham, J. W. (2003). Adding missing-data 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
  • 8
    • 0003245614 scopus 로고    scopus 로고
    • On the performance of multiple imputation for multivariate data with small sample size
    • R. H. Hoyle Ed, Thousand Oaks, CA: Sage
    • Graham, J. W., & Schafer, J. L. (1999). On the performance of multiple imputation for multivariate data with small sample size. In R. H. Hoyle (Ed.), Statistical strategies for small, sample research. (pp. 1-29). Thousand Oaks, CA: Sage.
    • (1999) Statistical strategies for small, sample research , pp. 1-29
    • Graham, J.W.1    Schafer, J.L.2
  • 10
    • 0017133178 scopus 로고
    • Inference and missing data
    • Rubin, D. B. (1976). Inference and missing data. Biometrika, 63, 581-592.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.B.1
  • 12
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    • Missing data: Our view of the state of the art
    • Schafer, J. L., & Graham, J. W. (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.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.