Acknowledgement
Inho Park's work was supported by a Research Grant of Pukyong National University (2021).
References
- Chen S and Rust K (2017). An extension of Kish's formula for design effects to two- and three-stage designs with stratification, Journal of Survey Statistics and Methodology, 5, 111-130. https://doi.org/10.1093/jssam/smw036
- Feng X (2006). On confidence intervals for proportions with focus on the U.S. National Health and Nutribution Examination Surveys (Master's thesis), Simon Fraser University, Burnaby, BC, Canada.
- Gabler S, Hader S, and Lahiri P (1999). A model based justification of Kish's formula for design effects for weighting and clustering, Survey Methodology, 25, 105-106.
- Heeringa SG, West BT, and Berglund PA (2010). Applied Survey Data Analysis, Chapman and Hall/CRC, New York.
- Kim TH (2023). Stratification effects under multistage sampling (Master's thesis), Pukyong National University, Busan, Korea.
- Kish L (1987). Weighting in De f t2, Survey Statistician, June, 26-30.
- Krenzke T and Kali J (2016). Review of the FoodAPS 2012 Sample Design. A technical report by Westat prepared for Economic Research Service, U.S. Department of Agriculture.
- Lehtonen R and Pahkinen E (2004). Practical Methods for Design and Analysis of Complex Surveys (2nd ed), Chapman and Hall/CRC, New York.
- Lohr SL (2010). Sampling: Design and Analysis (2nd ed), Brooks/Cole, Boston.
- National Institute of Environmental Research (2021). Sample documentation for cycle 4 of the Korean National Environmental Health Survey (KoNEHS).
- Park I (2015). Understanding complex design features via design effect models, The Korean Journal of Applied Statistics, 28, 1217-1225. https://doi.org/10.5351/KJAS.2015.28.6.1217
- Park I and Hwang HG (2019). Sample size determination using design effect formula for repeated surveys, The Korean Journal of Applied Statistics, 32, 1-10. https://doi.org/10.5351/KJAS.2019.32.1.001
- Rust K and Broene P (2010). Design effects for totals in multi-stage samples, In Proceedings of the Joint Statistical Meetings, Section on Survey Research Methods, American Statistical Association, Vancouver, British Columbia, 2174-2181.
- SAS Institute Inc. (2010). SAS/STAT 9.3 User's Guide, Cary, NC: SAS Institute Inc.
- Valliant R, Dever JA, and Kreuter F (2019). Practical Tools for Designing and Weighting Survey Samples (2nd ed), Springer, New York.
- Wolter KM (2007). Introduction to Variance Estimation (2nd ed), Springer, New York.