JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Chi-squared Tests for Homogeneity based on Complex Sample Survey Data Subject to Misclassification Error
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Chi-squared Tests for Homogeneity based on Complex Sample Survey Data Subject to Misclassification Error
Heo, Sunyeong;
  PDF(new window)
 Abstract
In the analysis of categorical data subject to misclassification errors, the observed cell proportions are adjusted by a misclassification probabilities and estimates of variances are adjusted accordingly. In this case, it is important to determine the extent to which misclassification probabilities are homogeneous within a population. This paper considers methods to evaluate the power of chi-squared tests for homogeneity with complex survey data subject to misclassification errors. Two cases are considered: adjustment with homogeneous misclassification probabilities; adjustment with heterogeneous misclassification probabilities. To estimate misclassification probabilities, logistic regression method is considered.
 Keywords
Heterogeneous misclassification probabilities;Logistic regression;Measurement error;Stratified multistage sample survey;
 Language
English
 Cited by
 References
1.
Analysis report, 1997.

2.
Communications in Statistics - Series A, Theory and Methods, 1983. vol.12. pp.1523-1533 crossref(new window)

3.
The Annals of Statistics, 1981. vol.9. pp.1010-1019 crossref(new window)

4.
Biometrika, 1965. vol.52. pp.95-109

5.
Measurement Errors in Surveys, 1991. pp.637-663

6.
Current Topics in Survey Sampling, 1981. pp.247-265

7.
Journal of the American Statistical Association, 1986. vol.81. pp.75-81 crossref(new window)

8.
Statistics, 1996. vol.27. pp.203-254 crossref(new window)

9.
Stata User's Guide, Release 5, 1997.

10.
Technometrics, 1972. vol.14. pp.187-202 crossref(new window)