Abstract
The National Comorbidity Survey Replication (NCS‐R) is a survey of the prevalence and correlates of mental disorders in the US that was carried out between February 2001 and April 2003. Interviews were administered face‐to‐face in the homes of respondents, who were selected from a nationally representative multi‐stage clustered area probability sample of households. A total of 9,282 interviews were completed in the main survey and an additional 554 short non‐response interviews were completed with initial non‐respondents. This paper describes the main features of the NCS‐R design and field procedures, including information on fieldwork organization and procedures, sample design, weighting and considerations in the use of design‐based versus model‐based estimation. Empirical information is presented on non‐response bias, design effect, and the trade‐off between bias and efficiency in minimizing total mean‐squared error of estimates by trimming weights. Copyright © 2004 Whurr Publishers Ltd.
Keywords: design effects, epidemiologic research design, sample bias, sample weights, survey design efficiency, survey sampling
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References
- DuMouchel WH, Duncan GJ. Using sample survey weights in multiple regression analyses of stratified samples. J Am Stat Assoc 1983; 78: 535–43. [Google Scholar]
- Groves R, Fowler F, Couper M, Lepkowski J, Singer E, Tourangeau R. Survey Methodology. New York: Wiley, in press. [Google Scholar]
- Gurin G, Veroff J, Feld SC. Americans View Their Mental Health: A Nationwide Interview. New York: Basic Books Inc., 1960. [Google Scholar]
- Kessler RC, Üstün TB. The World Mental Health (WMH) survey initiative version of the World Health Organization Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research 2004; (this issue). [DOI] [PMC free article] [PubMed]
- Kish L, Frankel MR. Inferences from complex samples. Journal of the Royal Statistical Society 1974; 36 (Series B): 1–37. [Google Scholar]
- Kish L, Kish JL. Survey Sampling. New York: John Wiley & Sons, 1965. [Google Scholar]
- Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons, 1987. [Google Scholar]
- Tourangeau R, Smith TW. Collecting sensitive information with different modes of data collection In Couper M, Baker RP, Bethlehem J, Clark CZF, Martin J, Nicholos WL, II, O'Reilly JM. eds. Computer Assisted Survey Information Collection. New York: Wiley, 1998, 431–54. [Google Scholar]
- Turner CF, Ku L, Rogers SM, Lindberg LD, Pleck JH, Sonenstein FL. Adolescent sexual behavior, drug use, and violence: increased reporting with computer survey technology. Science 1998; 280 (5365): 867–73. [DOI] [PubMed] [Google Scholar]
- Turner CF, Lessler JT, Devore J. Effects of mode of administration and wording on reporting of drug use In Turner CF, Lessler JT. and Gfroerer J. eds. Survey Measurement of Drug Use: Methodological Studies. Rockville MD: National Institute on Drug Abuse, 1982. [Google Scholar]
- Veroff J, Douvan E, Kulka R. The Inner American: A Self Portrait from 1957 to 1976. New York: Basic Books, 1981. [Google Scholar]
- Wolter KM. Introduction to Variance Estimation. New York: Springer‐Verlag, 1985. [Google Scholar]
- Zaslavsky AM, Schenker N, Belin TR. Downweighting influential clusters in surveys: application to the 1990 Post Enumeration Survey. Am J Stat Assoc 2001; 96 (455): 858–69. [Google Scholar]