NORM software review: Handling missing values with multiple imputation methods 1

Evaluation Journal of Australasia

Volumn 2, Issue 1, 2002, Pages 51-57

  Darmawan, I Gusti Ngurah ^a  

^a FLINDERS UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85015474153     PISSN: 1035719X     EISSN: 25159372     Source Type: Journal    
DOI: 10.1177/1035719X0200200112     Document Type: Article

References (11)

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2. Darmawan I.G.N., 2001, ‘Adoption and implementation of information technology in Bali's local government: a comparison between single level path analyses using PLSPATH 3.01 and AMOS 4 and multilevel path analyses using MPLUS 2.01’, International Education Journal, vol. 2, no. 4, pp. 100–125
3. Kline R.B., 1998, Principles and practice of structural equation modeling, The Guilford Press, New York
4. Little R.J.A., & Rubin D.B., 1987, Statistical analysis with missing data, John Wiley, New York
5. Little R.J.A., & Rubin D.B., 1990, ‘The analysis of social science data with missing values’, in Fox J, & Long J.S., (eds), Modern methods of data analysis, Sage Publications, Newbury Park California
6. Rubin D.B., 1987, Multiple imputation for nonresponse in surveys, J. Wiley & Sons, New York
7. Schafer J.L., 1997a, Analysis of incomplete multivariate data, Chapman & Hall, New York
8. Schafer J.L., 1997b, Introduction to multiple imputations for missing data problems, viewed 6 May 2002,
9. Schafer J.L., 1999, ‘NORM: multiple imputation of incomplete multivariate data under a normal model, version 2.03’, software for Windows 95/98/NT, available from
10. Schafer J.L., & Olsen M.K., 1998, ‘Multiple imputation for multivariate missing-data problems: a data analyst's perspective’, Multivariate Behavioral Research, vol. 33, pp. 545–571
11. Statistical Solutions 2001, What is multiple imputation?, viewed 6 May 2002,