Constructing scientifically sound samples of hard-to-reach populations, als
o known as hidden populations, is a challenge for many research projects. T
raditional sample survey methods, such as random sampling from telephone or
mailing lists, can yield low numbers of eligible respondents while non-pro
bability sampling introduces unknown biases.
The authors describe a venue-based application of time-space sampling (TSS)
that addresses the challenges of accessing hard-to-reach populations. The
method entails identifying days and times when the target population gather
s at specific venues, constructing a sampling frame of venue, day-time unit
s (VDTs), randomly selecting and visiting VDTs (the primary sampling units)
, and systematically intercepting and collecting information from consentin
g members of the target population. This allows researchers to construct a
sample with known properties, make statistical inference to the larger popu
lation of venue visitors, and theorize about the introduction of biases tha
t may limit generalization of results to the target population.
The authors describe their use of TSS in the ongoing Community Intervention
Trial for Youth (CITY) project to generate a systematic sample of young me
n who have sex with men, The project is an ongoing community level HIV prev
ention intervention trial funded by the Centers for Disease Control and Pre
vention.
The TSS method is reproducible and can be adapted to hard-to-reach populati
ons in other situations, environments, and cultures.