Last data update: Jun 11, 2024. (Total: 46992 publications since 2009)
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Query Trace: Black MC [original query] |
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Prevalence of sexual violence against women in 23 states and two U.S. territories, BRFSS 2005
Black MC , Basile KC , Breiding MJ , Ryan GW . Violence Against Women 2014 20 (5) 485-499 Sexual violence (SV) is a significant public health problem. Using data from the 2005 Behavioral Risk Factor Surveillance System (BRFSS), this article provides state-specific 12-month SV prevalence data for women residing in 23 states and two territories. Overall, more than 500,000 women in the participating states experienced completed or attempted nonconsensual sex in the 12-month period prior to the survey. The collection of state-level data using consistent, uniform, and behaviorally specific SV definitions enables states to evaluate the magnitude of the problem within their state and informs the development and evaluation of state-level SV programs, policies, and prevention efforts. |
Coverage bias in variances, associations, and total error from exclusion of the cell phone-only population in the United States
Peytchev A , Carley-Baxter LR , Black MC . Soc Sci Comput Rev 2010 28 (3) 287-302 Although landline telephone household surveys often draw inference about the general population, a proportion with only cell phones is excluded. In the United States, like in much of the world, this proportion is substantial and increasing, providing potential for coverage bias. Studies have looked at bias in means, but undercoverage can affect other essential statistics. The precision of point estimates can be biased, leading to erroneous conclusions. Research examining multivariate relationships will be further affected by bias in associations. A national landline telephone survey was conducted, followed by a survey of adults with only cell phones. In addition to estimates of means and proportions, differences were found for variances and associations. Bias in some point estimates was reduced through poststratification but became larger and in opposite direction for others. Different uses of survey data can be affected by omitting the cell-only population, and reliance on postsurvey adjustments can be misleading. |
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