Does Method of Handling Missing Data Affect Results of a Structural Equation Model
暂无分享,去创建一个
[1] J L Schafer,et al. Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective. , 1998, Multivariate behavioral research.
[2] Daniel J. Mundfrom,et al. Imputing Missing Values: The Effect on the Accuracy of Classification , 1998 .
[3] Olive Jean Dunn,et al. Alternative Approaches to Missing Values in Discriminant Analysis , 1976 .
[4] Neil H. Timm,et al. The estimation of variance-covariance and correlation matrices from incomplete data , 1970 .
[5] M. J. Norušis,et al. SPSS-X introductory statistics guide for SPSS-X release 3 , 1988 .
[6] H. T. Clark,et al. A Reexamination of Public-Versus Private-School Achievement: The Case for Missing Data , 1991 .
[7] M. Glasser,et al. Linear Regression Analysis with Missing Observations among the Independent Variables , 1964 .
[8] Bradley R. Hertel. Minimizing Error Variance Introduced By Missing Data Routines in Survey Analysis , 1976 .
[9] Herbert W. Marsh,et al. Pairwise Deletion for Missing Data in Structural Equation Models: Nonpositive Definite Matrices, Parameter Estimates, Goodness of Fit, and Adjusted Sample Sizes. , 1998 .
[10] Esther C. Jackson. Missing Values in Linear Multiple Discriminant Analysis , 1968 .