نتایج جستجو برای: driven sampling

تعداد نتایج: 434092  

2007
Cyprian Wejnert

ondent-driven s were found to progress very fast. Studies with large samples can be expected to proceed up to 20 times faster than with traditional methods; in fact, to prevent bias from temporal filtering, d, because of sation should ential recruits. findings, based on theoretical and empirical evidence, indicate that web-based RDS can be much faster, easier, and cheaper than both regular RDS ...

2013
Derek Paley

The report describes a Dynamic Data-Driven Application Systems (DDDAS) project in which multiple mobile sensors are routed via a data-driven sampling scheme. The long-term goal of this project is to provide a control-theoretic framework to enable intelligent, mobile systems to optimally collect sensor-based observations that yield accurate estimates of unknown processes such as aircraft formati...

Journal: :Journal of health care for the poor and underserved 2016
Jalie A Tucker Cathy A Simpson Susan D Chandler Casey A Borch Susan L Davies Shatomi J Kerbawy Terri H Lewis M Scott Crawford JeeWon Cheong Max Michael

Emerging adulthood often entails heightened risk-taking with potential life-long consequences, and research on risk behaviors is needed to guide prevention programming, particularly in under-served and difficult to reach populations. This study evaluated the utility of Respondent Driven Sampling (RDS), a peer-driven methodology that corrects limitations of snowball sampling, to reach at-risk Af...

Agricultural Extension services are among the most important rural services in developing countries. The services are considered to be a key driver of technological change and productivity growth in agriculture. In Kenya, like in the rest of the developing economies, agricultural extension has largely been delivered through supply–driven approaches. Due to perceived low impact of agricultural e...

Journal: :Journal of the Royal Statistical Society. Series A, 2015
Krista J Gile Mark S Handcock

Respondent-Driven Sampling is a widely-used method for sampling hard-to-reach human populations by link-tracing over their social networks. Inference from such data requires specialized techniques because the sampling process is both partially beyond the control of the researcher, and partially implicitly defined. Therefore, it is not generally possible to directly compute the sampling weights ...

Journal: :Survey practice 2015
Kelly Martin Timothy P Johnson Tonda L Hughes

To recruit a sample of sexual minority women with diversity in regards to age and race, the Chicago Health and Life Experiences of Women study (CHLEW), a longitudinal study of sexual minority women’s health, used respondent driven (RDS) sampling. RDS, a refinement of chain referral sampling, uses initial participants or “seeds” recruited by the research team, to recruit the remainder of the pan...

2011
Florian Kutzner Tobias Vogel Peter Freytag Klaus Fiedler

Fiedler et al. (2009), reviewed evidence for the utilization of a contingency inference strategy termed pseudocontingencies (PCs). In PCs, the more frequent levels (and, by implication, the less frequent levels) are assumed to be associated. PCs have been obtained using a wide range of task settings and dependent measures. Yet, the readiness with which decision makers rely on PCs is poorly unde...

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