Unstable inferences? An examination of complex survey sample design adjustments using the current population survey for health services research

Inquiry

Volumn 43, Issue 3, 2006, Pages 283-297

  Davern, Michael ^a   Jones, Arthur ^b   Lepkowski, James ^c   Davidson, Gestur ^a   Blewett, Lynn A ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b U S CENSUS BUREAU   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL ERROR; ARTICLE; CONFIDENTIALITY; DATA ANALYSIS; GOVERNMENT; HEALTH CARE POLICY; HEALTH INSURANCE; HEALTH SERVICES RESEARCH; HEALTH SURVEY; INCOME; MEDICAL RESEARCH; POPULATION RESEARCH; POVERTY; PUBLICATION; SAMPLING; STATISTICAL ANALYSIS; UNITED STATES;

EID: 33845622029     PISSN: 00469580     EISSN: None     Source Type: Journal    
DOI: 10.5034/inquiryjrnl_43.3.283     Document Type: Article

References (30)

1. Blewett, L.A., M.E. Brown, K.T. Call, and M. Davern. 2004. Monitoring the Uninsured: A State Policy Perspective. Journal of Health Politics, Policy and Law 29(1): 107-145.
2. Brick, J.M., and D. Morganstein. 1996. WesVarPC: Software for Computing Variance Estimates from Complex Designs. Proceedings of the 1996 Annual Research Conference. Washington, D.C.: U.S. Bureau of the Census.
3. Brogan, D. 1998. Software for Sample Survey Data, Misuse of Standard Packages. In Encyclopedia of Biostatistics, vol. 5, P. Armitage and T. Colton, eds. New York: Wiley.
4. Davern, M., L.A. Blewett, B. Bershadsky, K.T. Call, and T. Rockwood. 2003. State Variation in SCHIP Allocations: How Much Is There, What Are Its Sources, and Can It Be Reduced? Inquiry 40(2):184-197.
5. Davern, M., T. Beebe, L.A. Blewett, and K.T. Call. 2003. Recent Changes to the Current Population Survey: Sample Expansion, Health Insurance Verification and State Health Insurance Coverage Estimates. Public Opinion Quarterly 67(4): 603-626.
6. DeNavas-Walt, C., and R. Cleveland. 2002. Money Income in the United States: 2001. Washington, D.C.: U.S. Census Bureau.
7. Dippo, C.S., and K.M. Wolter. 1984. A Comparison of Variance Estimators Using the Taylor Series Approximation. ASA Proceedings of the Section on Survey Research Methods. Arlington, Va.: American Statistical Association.
8. Glied, S., D.K. Remler, and J.G. Zivin. 2002. Inside the Sausage Factory: Improving Estimates of the Effects of Health Insurance Expansion Proposals. Milbank Quarterly 80(4):603-636.
9. Hammer, H., H. Shin, and L. Porcellini. 2003. A Comparison of Taylor Series and JK1 Resampling Methods for Variance Estimation. Hawaii International Conference on Statistics and Related Fields. Honolulu, Hawaii, June 5-8.
10. Hansen, M.H., W. Hurwitz, and W. Madow. 1953. Sample Survey Methods and Theory. New York: Wiley and Sons.
11. Health and Human Services Inspector General. 2004. SCHIP: States' Progress in Reducing the Number of Uninsured Kids. Washington, D.C: Office of the Inspector General, Health and Human Services. Available at: http://www.oig.nhs.gov/oei/ reports/oei-05-03-00280.pdf
12. Kalton, G. 1977. Practical Methods for Estimating Survey Sampling Errors. Bulletin of the International Statistical institute 47(3):495-514.
13. i. Journal of Official Statistics 8(2): 183-200.
14. -. 1995. Survey Sampling, Wiley Classics Library Edition. New York: Wiley and Sons.
15. Kish, L., and M.R. Frankel. 1974. Inference from Complex Samples. Journal of the Royal Statistical Society B(36):1-37.
16. Krewski, D., and J.N.K. Rao. 1981. Inference from Stratified Samples: Properties of Linearization, Jackknife and Balanced Repeated Replication Methods. Annals of Statistics 9:1010-1019.
17. Lepkowski, J.M., and J. Bowles, 1996. Sampling Error Software for Personal Computers. Survey Statistician 35:10-17.
18. Lohr, S. 2000. Sampling: Design and Analysis. Pacific Grove, Calif.: Duxbury Press.
19. Mills, R. 2002. Health Insurance Coverage in the United States for 2001. Washington, D.C.: U.S. Census Bureau.
20. National Center for Health Statistics. 2000. Design and Estimation for the National Health Interview Survey, 1995-2004. Vital and Health Statistics Series 2(130): 1-41.
21. Proctor, B., and J. Dalaker. 2002. Poverty in the United States: 2001. Washington, D.C.: U.S. Census Bureau.
22. Rust, K. 1985. Variance Estimation for Complex Estimators in Sample Surveys. Journal of Official Statistics 1(4):381-397.
23. SAS. 1999. Documentation for SAS Version 8. Cary, N.C.: SAS Institute, Inc.
24. SPSS. 2003. Correctly and Easily Compute Statistics for Complex Sampling. Chicago, Ill.: SPSS Inc. Available at: http://www.spss.com/complex_samples/
25. STATA. 2001. Reference Manual. College Station, Tex.: STATA Press.
26. U.S. Census Bureau. 2001. Source and Accuracy of the Data for the March 2001 Current Population Survey Microdata File. Washington, D.C: U.S. Census Bureau.
27. -. 2002a. Source and Accuracy of the Data for the March 2002 Current Population Survey Microdata File. Washington, D.C.: U.S. Census Bureau.
28. -. 2002b. Current Population Survey: Design and Methodology. Technical Paper #63RV. Washington, D.C.: U.S. Census Bureau.
29. Weng, S.S., F. Zhang, and M.P. Cohen. 1995. Variance Estimates Comparison by Statistical Software. ASA Proceedings of the Section on Survey Research Methods. Arlington, Va.: American Statistical Association.
30. Woodruff, R.S. 1971. A Simple Method for Approximating the Variance of a Complicated Estimate. Journal of the American Statistical Association 66(334):411-414.