Missing Data Problems in Criminological Research: Two Case Studies

Journal of Quantitative Criminology

Volumn 19, Issue 1, 2003, Pages 55-78

  Brame, Robert ^a   Paternoster, Raymond ^b  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Identification problems; Missing data; Sensitivity analyses

Indexed keywords

EID: 0037217139     PISSN: 07484518     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022518712229     Document Type: Article

References (19)

1. Agresti, A. (1996). An Introduction to Categorical Data Analysis. Wiley, New York.
2. Allison, P. D. (2000). Multiple imputation for missing data: a cautionary tale. Sociol. Methods Res. 28: 301-309.
3. Carroll, R. J., Ruppert, D., and Stefanski, L. A. (1995). Measurement Error in Nonlinear Models. Chapman and Hall, London.
4. Elliott, D. S., Huizinga, D., and Menard, S. (1989). Multiple Problem Youth: Delinquency, Substance Use, and Mental Health Problems. Springer-Verlag, New York.
5. Hirschel, J. D., Hutchison, I. W., and Dean, C. W. (1992). The failure of arrest to deter spouse assault. J. Res. Crime Delinq. 29: 7-33.
6. King, G. (1989). Unifying Political Methodology: the Likelihood Theory of Statistical Inference. Cambridge University Press, New York.
7. King, G., Keohane, R. O., and Verba, S. (1994). Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton University Press, Princeton, NJ.
8. Little, R. J. A. (1992). Regression with missing x's: a review. J. Am. Stat. Assoc. 87: 1227-1236.
9. Little, R. J. A. (1995). Modeling the drop-out mechanism in repeated-measures studies. J. Am. Stat. Assoc. 90: 1112-1121.
10. Little, R. J. A., and Rubin, D. B. (1987). Statistical analysis with missing data. Wiley, New York.
11. Little, R. J. A., and Schenker, N. (1995). Missing Data. In Arminger, G., Clogg, C. C. and Sobel, M. E. (eds.), Handbook of statistical modeling for the social and behavioral sciences, pp. 39-75. Plenum Press, New York.
12. Manski, C. F. (1995). Identification Problems in the Social Sciences. Harvard University Press, Cambridge, MA.
13. Nordheim, E. V. (1984). Inference from nonrandomly missing categorical data: An example from a genetic study on Turner's Syndrome. J. Am. Stat. Assoc. 79: 772-780.
14. Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys. Wiley, New York.
15. Schafer, J. L. (1997). Analysis of Incomplete Multivariate Data. Chapman and Hall, London.
16. Thompson, M. E. (1997). Theory of Sample Surveys. Chapman and Hall, London.
17. Vach, W. (1994). Logistic Regression with Missing Values in the Covariates. Lecture notes in statistics, vol. 48. Springer-Verlag, New York.
18. Wainer, H. (1986). Drawing Inferences from Self-Selected Samples. Springer-Verlag, New York.
19. Zawitz, M. W., Klaus, P. A., Bachman, R., Bastian, L. D., DeBerry, M. M., Rand, M. R., et al. (1993). Highlights from 20 Years of Surveying Crime Victims: The National Crime Victimization Survey, 1973-1992. Bureau of Justice Statistics, Washington, DC.