1. Assessing Differential Reliability of Health-related Variables across Population Subgroups and its Implication to Statistical Inference.
- Author
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Jeong-han Kang, Min-Ah Lee, and Laumann, Edward O.
- Subjects
PUBLIC health ,AFRICAN Americans ,MACHISMO ,MATHEMATICAL statistics ,MONTE Carlo method - Abstract
This study examines how low reliability of a measure affects its estimation and statistical inference and what happens when the measure is collinear with another variable with higher reliability as predictors in a statistical model. First, we provide a series of Monte-Carlo simulations to show that (1) the effect of an unreliable measure tends to be underestimated, and (2) its underestimation becomes more serious while a more reliable collinear predictor is overestimated in the same model. Then, we examine Male Attitudes Regarding Sexual Health (MARSH), a survey of 2,173 men in the United States, 40 years of age and older broken by racial/ethnic subgroups: Whites, African-Americans and Hispanics. We find in MARSH that the sum of IPSS-7 items for lower urinary tract symptoms (LUTS), as a risk factor for erectile dysfunction (ED), is considerably underestimated for Hispanics when another risk factor, the sum of CES-D8 items for depressive symptoms, is introduced. We infer that IPSS-7 could have been more unreliably measured among Hispanics than among Whites or African-Americans, noting comparably high correlations between CES-D8 and LUTS. LUTS questions may be particularly sensitive for Hispanic males, who are known for machismo, and may as well belong to T-ACASI module without an interviewer, rather than to CATI, in future survey. ..PAT.-Unpublished Manuscript [ABSTRACT FROM AUTHOR]
- Published
- 2007