Date of Award

1-1-2010

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Epidemiology and Biostatistics

Program

Epidemiology

Content Description

1 online resource (xi, 166 pages) : illustrations (some color), color maps.

Dissertation/Thesis Chair

Louise-Anne McNutt

Committee Members

Louise-Anne McNutt, James Crucetti, Howard Stratton

Keywords

population studies, Respondent-driven sampling, Sampling (Statistics), Health surveys, Health status indicators

Subject Categories

Epidemiology

Abstract

BACKGROUND: Researchers use many methods to collect population-based health indicator data. Random digit dial (RDD) is one frequently used method; however decreasing sample coverage and non-response bias have researchers searching for alternative methods. We hypothesize that respondent driven sampling (RDS) is a cost effective alternative. In accordance with this hypothesis we propose three objectives: 1) assess the mechanics, feasibility, and representativeness of RDS in producing valid estimates of health indicator data; 2) evaluate the feasibility in using RDS in comparison to RDD to collect health indicator data from a general population; and 3) report on data collected using RDS, specifically the public's perception and acceptance of new HIV testing recommendations.

Included in

Epidemiology Commons

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