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Activity Number:
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340
- SPEED: Applications of Advanced Statistical Techniques in Complex Survey Data Analysis: Small Area Estimation, Propensity Scores, Multilevel Models, and More
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #327195
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Presentation
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Title:
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On Mediation Analysis in Public Health Using the Complex Survey Data
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Author(s):
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Thanh Pham and Julia Soulakova* and Monsur Chowdhury
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Companies:
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University of Central Florida
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Keywords:
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mediation;
balanced repeated replication;
survey data;
regression
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Abstract:
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We discuss a two-step approach to test for a mediation effect using data gathered via complex sampling. The approach incorporates the design-based multiple linear regressions and a generalized Sobel's method to test for a significance of a mediation effect. We illustrate the applications to a study of nicotine dependence, race/ethnicity and cigarette purchase price among daily smokers in the U.S. The study goal was to assess significance of cigarette purchase price as a mediator in the association between race/ethnicity (non-Hispanic Black/African American, non-Hispanic White) and nicotine dependence measured in terms of the average number of cigarettes smoked per day. The single-mediator model incorporated 18 covariates as control factors. The results indicated a significant mediation effect of cigarette purchase price on the association. However, the relative effect size of 5% indicated that cigarette purchase price explains only about 5% of the total association between the race/ethnicity and the nicotine dependence. The approach is flexible in the sense that it can be modified to other studies where data are gathered via other types of complex sampling.
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Authors who are presenting talks have a * after their name.
