The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling
نویسندگان
چکیده
منابع مشابه
Modelling the Effect of Differential Recruitment on the Bias of Estimators for Respondent-Driven Sampling
Respondent Driven Sampling has previously been modelled as a random walk on a network. In this document we show that this model can be used to encompass within-group differential recruitment, and examine the implications for bias of several common estimators.
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15 صفحه اولEvaluation of the role of location and distance in recruitment in respondent-driven sampling
BACKGROUND Respondent-driven sampling(RDS) is an increasingly widely used variant of a link tracing design for recruiting hidden populations. The role of the spatial distribution of the target population has not been robustly examined for RDS. We examine patterns of recruitment by location, and how they may have biased an RDS study findings. METHODS Total-population data were available on a r...
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the present study investigated construct equivalence of multiple choice (mc) and constructed response (cr) item types across stem and content equivalent mc and cr items (item type ‘a’), non-stem-equivalent but content equivalent mc and cr items (item type ‘b’), and non-stem and non-content equivalent mc and cr items (item type ‘c’). one hundred seventy english-major undergraduates completed mc ...
Respondent Driven Sampling: Determinants of Recruitment and a Method to Improve Point Estimation
INTRODUCTION Respondent-driven sampling (RDS) is a variant of a link-tracing design intended for generating unbiased estimates of the composition of hidden populations that typically involves giving participants several coupons to recruit their peers into the study. RDS may generate biased estimates if coupons are distributed non-randomly or if potential recruits present for interview non-rando...
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ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2011
ISSN: 1935-7524
DOI: 10.1214/11-ejs630