The vast majority of discrete choice modelling (DCM) applications are now estimated on Stated Preference (SP) data, including but not limited to the field of transport research. In SP data, each respondent is faced with multiple choice situations, and recognising this repeated choice nature of the data is a crucial modelling issue. With the increasing popularity of the Mixed Multinomial Logit (...

The opinions of seven respondent groups about the relative importance of different practices pertaining to the welfare of Australian beef cattle, sheep and goats were surveyed. Respondent groups comprised farmers, livestock transportation representatives, veterinarians, meat processors, animal welfare advocates, animal welfare scientists and government officers. The survey consisted of a web-ba...

Situational drinking motives (i.e., motives specific to the drinking situation) as well as respondent-level drinking motives (i.e., usual drinking motives across drinking situations) were examined in terms of their relations with aggression experienced by university students. Secondary, multi-level analyses were conducted on the Canadian Campus Survey (CCS), a national survey of 40 Canadian uni...

This study identified whether survey administration mode (telephone or in-person) and respondent type (self or proxy) result in discrepant prevalence of current smoking in the adult U.S. population, while controlling for key sociodemographic characteristics and longitudinal changes of smoking prevalence over the 11-year period from 1992-2003. We used a multiple logistic regression analysis with...

background : a detailed study of hidden and hard to reach populations in order to identify their characteristics is essential because they endanger the health of the society by their dangerous behaviors. however, sampling in these populations through conventional sampling methods is impossible due to reasons such as being hidden and lacking a precise frame. methods: in this article, applicable ...

Researchers in many scientific fields make inferences from individuals to larger groups. For many groups however, there is no list of members from which to take a random sample. Respondent-driven sampling (RDS) is a relatively new sampling methodology that circumvents this difficulty by using the social networks of the groups under study. The RDS method has been shown to provide unbiased estima...

In many countries, HIV/AIDS infections are concentrated in 3 high-risk groups: injection drug users, sex workers, and men who have sex with men. Accurate information about disease prevalence and risk behaviors in these groups is therefore critical for designing and evaluating HIV prevention programs. Respondent-driven sampling (RDS) is a relatively new method that allows researchers to collect ...

All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies. 1 Accounting for respondent uncertainty to improve willingness-to-pay estimates ABSTRACT In this paper we develop an econometric model of willingness to pay that integrates data on respondent uncertainty regarding their ...

This paper discusses the findings of two surveys, undertaken in 2000 and 2001, which investigated relationships between home energy efficiency, socio-economic status and respondent health. Data were collected through interviews with an informant from each household and energy surveys. Respondents were drawn from relatively poor households. The main health measure used in the analysis, responden...