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The comparative efficacy of imputation methods for missing data in structural equation modeling

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  • Olinsky, Alan
  • Chen, Shaw
  • Harlow, Lisa

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  • Olinsky, Alan & Chen, Shaw & Harlow, Lisa, 2003. "The comparative efficacy of imputation methods for missing data in structural equation modeling," European Journal of Operational Research, Elsevier, vol. 151(1), pages 53-79, November.
    • Handle: RePEc:eee:ejores:v:151:y:2003:i:1:p:53-79
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    References listed on IDEAS

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    1. C. Hendricks Brown, 1983. "Asymptotic comparison of missing data procedures for estimating factor loadings," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 269-291, June.
    2. Heitjan, D.F., 1997. "Annotation: what can be done about missing data? Approaches to imputation," American Journal of Public Health, American Public Health Association, vol. 87(4), pages 548-550.
    3. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
    4. Neil Timm, 1970. "The estimation of variance-covariance and correlation matrices from incomplete data," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 417-437, December.
    5. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 300-301, July.
    6. Bengt Muthén & David Kaplan & Michael Hollis, 1987. "On structural equation modeling with data that are not missing completely at random," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 431-462, September.
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