Details

Related name

• Princeton University. Program in Population Studies [Browse]

Summary note

• This dissertation is about how the science of sampling and survey research can.
• be generalized beyond the individual: while traditional surveys ask respondents.
• to report about themselves, we study network reporting surveys in.
• which respondents are asked to report about others.
• Despite many technical challenges, understanding how to design and analyze network.
• reporting studies is worth the effort: network reporting surveys can be used to.
• study many important rare and hidden populations for which traditional survey.
• methods are inadequate.
• We begin by introducing the network reporting framework, a general toolkit that.
• can help researchers develop new estimators and new data collection methods.
• The framework can also help researchers better understand many existing estimators.
• We apply the framework to analyze network scale-up, an existing method for.
• studying epidemiologically important hidden populations like sex workers and.
• drug injectors.
• We derive the precise conditions required for the basic scale-up.
• estimator to have desirable statistical properties;
• we also introduce a new, generalized scale-up estimator, which we.
• expect to outperform the existing estimator in many settings.
• Next, we turn to a key question for all network reporting studies: which.
• personal network should respondents be asked to report about? We conjecture.
• that there may be a trade-off between the quantity and the quality of.
• information obtained from different personal networks.
• We test this conjecture by embedding an experiment in a large,
• nationally-representative household survey that we conducted in Rwanda.
• Our results show that there may indeed be a trade-off, but future work.
• is required to understand this possibility in more detail.
• Finally, we apply the network reporting framework to a critical, unsolved.
• problem in demography: estimating adult death rates in countries that lack.
• complete vital registration systems.
• We introduce a new estimator and data collection procedure called.
• network survival, and we test our new approach using the Rwanda survey.
• Our results demonstrate that a network reporting study is.
• feasible in an environment where adult mortality estimates are sorely needed,
• and the estimated network survival rates have plausible levels and age-patterns.
• However, more work is required before we can fully assess the accuracy of this new.
• approach.

Notes

Source: Dissertation Abstracts International, Volume: 77-03(E), Section: A.

Dissertation note

Thesis (Ph.D.)--Princeton University, 2015.

In

Dissertation Abstracts International 77-03A(E).

ISBN

9781339156996

OCLC

944159305

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