BACKGROUND Respondent fatigue, also known as survey fatigue, is a common problem in the collection of survey data. Factors that are known to influence respondent fatigue include survey length, survey topic, question complexity, and open-ended question type. There is a great deal of interest in understanding the drivers of physician survey responsiveness due to the value of information received ...

Critical review and evaluation of the article “Mental health and substance use in an urban First Nations population in Hamilton, Ontario” by Firestone et al. brought an important issue to the forefront, namely the use of respondent-driven sampling for participant recruitment. The use of respondent-driven sampling during the study’s recruitment period raises questions about the presence of any u...

In this paper, we propose an efficient individually adapted sequential Bayesian approach for constructing conjoint choice experiments. It uses Bayesian updating, a Bayesian analysis and a Bayesian design criterion for generating choice-set-designs for each individual respondent based on previous answers of that particular respondent. The proposed design approach is compared with two non-adaptiv...

Abstract Objectives Respondent-Driven Sampling (RDS) is a variant of link-tracing, sampling technique for surveying hard-to-reach communities that takes advantage community members' social networks to reach potential participants. While the RDS mechanism and associated methods adjusting at analysis stage are well-documented in statistical sciences literature, methodological focus has largely be...

Respondent-driven sampling (RDS) is a widely used method for sampling from hard-to-reach human populations, especially populations at higher risk for HIV. Data are collected through peer-referral over social networks. RDS has proven practical for data collection in many difficult settings and is widely used. Inference from RDS data requires many strong assumptions because the sampling design is...