Statistical Standards Program
Table of Contents
1. Development of Concepts and Methods
2. Planning and Design of Surveys
3. Collection of Data
4. Processing and Editing of Data
5. Analysis of Data / Production of Estimates or Projections
6. Establishment of Review Procedures
7. Dissemination of Data
·Problems with Ignoring Item Nonresponse
·Imputing Item Nonresponse
·Data Analysis with Imputed Data
·Comparisons of Methods
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|APPENDIX B: EVALUATING THE IMPACT OF IMPUTATIONS FOR ITEM NONRESPONSE|
Bokossa, M.C., Huang G.G., and Cohen, M.P. (2000). Imputation of Test Scores in the National Education Longitudinal Study of 1988 (NELS:88)." 2000 Proceedings of the Section on Survey Research Methods. American Statistical Association.
Brick. M. (1995). A study of selected nonsampling error in the 1991 Recent College Graduates Study, Washington, DC: U.S. Department of Education, National Center for Education Statistics, NCES.
Brick, J.M. and Kalton, G. (1996) "Handling Missing Data in Survey Research." Statistical Methods in Medical Research, 5: 215-238.
Cochran, W.G., (1977). Sampling Techniques. New York: Wiley.
Cox, B.G., Binder, D.A., Chinnappa, B.N., Christianson, A., Colledge, M.J., and Kott, P.S. (1995). Business Survey Methods. New York: Wiley.
Elley, W.B. (1992). "How in the World Do Students Read?" The Hague: The International Association for the Evaluation of Educational Achievement.
Federal Committee on Statistical Methodology. (2001), Measuring and Reporting Sources of Error in Surveys. Statistical Policy Working Paper 31. Washington DC: Office of Management and Budget.
Hu, M., Salvucci, S.M., and Cohen, M.P. (2000). "Evaluation of Some Popular Imputation Algorithms." 2000 Proceedings of the Section on Survey Research Methods. American Statistical Association.
Hu, M., Salvucci, S.M., Zhang, F. Ghosh, D., Yu, B., and Walter, E. (forthcoming) A Review of Imputation Procedures across NCES Programs. Washington, DC: U.S. Department of Education, National Center for Education Statistics, NCES 2002-604
Kalton, G. (1983). Compensating for Missing Survey Data. Ann Arbor, MI: Survey Research Center, University of Michigan.
Kalton, G. and Kasprzyk, D. (1982). "Imputing for Missing Survey Responses." 1982 Proceedings of the Section on Survey Research Methods. American Statistical Association.
Kalton, G. and Kasprzyk, D. (1986). "The Treatment of Missing
Survey Data." Survey Methodology, Vol. 12, No. 1: 1-16.
Lessler, J.T. and Kalsbeek, W.D. (1995), Nonsampling Errors in Surveys. New York: Wiley.
Little, R.J.A. (1986) "Survey Nonresponse Adjustments for Estimates of Means." International Statistical Review, 54, 139-157.
Little, R.J.A. and Rubin, D.B. (1987). Statistical Analysis with Missing Data. New York: John Wiley.
Rao, J.N.K. and Shao, J. (1992). "Jackknife Variance Estimation in Survey Data under Hot Deck Imputation." Biometrika. 79: 811-22.
Rubin, D.B., (1978). "Multiple Imputations in Sample Surveys: A Phenomenological Bayesian Approach to Nonresponse." 1978 Proceedings of the Section on Survey Research Methods. American Statistical Association.
Sarndall, C.E. (1992). "Methods for Estimating the Precision of Survey Estimates when Imputation has been Used." Survey Methodology. 18: 241-252.
Santo, R.L., (1981). "Effects of Imputation on Regression Coefficients." 1981 Proceedings of the Section on Survey Research Methods. American Statistical Association.
Winglee, M., Kalton, G. Rust, K., and Kasprzyk, D. (1994). "Handling Item Nonresponse in the U.S. Component of the IEA Reading Literacy Study." Methodological Issues in Comparative Educational Studies: The Case of the IEA Reading Literacy Study. Washington, DC: U.S. Department of Education, National Center for Education Statistics, NCES 94-469.