Survey Methods for Hard-to-Reach Populations: Introduction to the Special Issue

Marpsat, Maryse; Razafindratsima, Nicolas

doi:10.4256/mio.2010.0014

Cited by 110 publications

(83 citation statements)

References 29 publications

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“…Two recent reviews contain substantial discussions of time-location and respondent-driven sampling. 9,10 We provide a brief comparison of these two methods at the end of the "Discussion" section.…”

Section: Discussionmentioning

confidence: 99%

Statistical Methods for the Analysis of Time–Location Sampling Data

Karon

Wejnert

2012

J Urban Health

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Time-location sampling (TLS) is useful for collecting information on a hard-toreach population (such as men who have sex with men [MSM]) by sampling locations where persons of interest can be found, and then sampling those who attend. These studies have typically been analyzed as a simple random sample (SRS) from the population of interest. If this population is the source population, as we assume here, such an analysis is likely to be biased, because it ignores possible associations between outcomes of interest and frequency of attendance at the locations sampled, and is likely to underestimate the uncertainty in the estimates, as a result of ignoring both the clustering within locations and the variation in the probability of sampling among members of the population who attend sampling locations. We propose that TLS data be analyzed as a two-stage sample survey using a simple weighting procedure based on the inverse of the approximate probability that a person was sampled and using sample survey analysis software to estimate the standard errors of estimates (to account for the effects of clustering within the first stage [locations] and variation in the weights). We use data from the Young Men's Survey Phase II, a study of MSM, to show that, compared with an analysis assuming a SRS, weighting can affect point prevalence estimates and estimates of associations and that weighting and clustering can substantially increase estimates of standard errors. We describe data on location attendance that would yield improved estimates of weights. We comment on the advantages and disadvantages of TLS and respondent-driven sampling.

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Section: Discussionmentioning

confidence: 99%

Statistical Methods for the Analysis of Time–Location Sampling Data

Karon

Wejnert

2012

J Urban Health

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“…Indeed, it is well known that standard procedures tend to over represent middle-class participants and to exclude people from the lower classes, who are more likely to not understand or not adhere to the survey project (Groves and Couper 1998). The problem is even bigger with the socalled "hard-to-reach," "hard-to-survey" groups (see Marpsat and Razafindratsima 2010;Tourangeau et al 2014). So, all the individuals that could be labelled as vulnerable are disproportionately at risk of being missed.…”

mentioning

confidence: 99%

Representation of Vulnerability and the Elderly. A Total Survey Error Perspective on the VLV Survey

Guichard

Nicolet

Gabriel

et al. 2016

Life Course Research and Social Policies

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“…Moreover, some collective actors are not officially registered because of their grass-roots approach and activities. This situation entails the absence of a complete list of both groups/associations and single activists, and the consequent impossibility to produce a representative sample, as in the case of the majority of contemporary social movements (Klandermans and Staggenborg 2002;Ayoub, Wallace, and Zepeda-Millán 2014) and more generally hard-to-reach or hard-to-sample populations (Marpsat and Razafindratsima 2010).…”

Section: Methodsmentioning

confidence: 99%