Within-Household Selection Methods: A Critical Review and Experimental Examination

Probability samples are necessary for making statistical inferences to the general population (Baker et al. 2013). Some countries (e.g. Sweden) have population registers from which to randomly select samples of adults. The U.S. and many other countries, however, do not have population registers. Instead, researchers (i) select a probability sample of households from lists of areas, addresses, or telephone numbers and (ii) select an adult within these sampled households. The process by which individuals are selected from sampled households to obtain a probability-based sample of individuals is called within-household (or within-unit) selection (Gaziano 2005).Within-household selection aims to provide each member of a sampled household with a known, nonzero chance of being selected for the survey (Gaziano 2005; Lavrakas 2008). Thus, it helps to ensure that the sample represents the target population rather than only those most willing and available to participate and, as such, reduces total survey error (TSE). In interviewer-administered surveys, trained interviewers can implement a prespecified within-household selection procedure, making the selection process relatively straightforward. In self-administered surveys, within-household selection is more challenging because households must carry out the selection task themselves. This can lead to errors in the selection process or nonresponse, resulting in too many or too few of certain types of people in the data (e.g. typically too many female, highly educated, older, and white respondents), and may also lead to biased estimates for other items. We expect the smallest biases in estimates for items that do not differ across household members (e.g. political views, household income) and the largest biases for items that do differ across household members (e.g. household division of labor). In this chapter, we review recent literature on within-household selection across survey modes, identify the methodological requirements of studying within-household selection methods experimentally, provide an example of an experiment designed to improve the quality of selecting an adult within a household in mail surveys, and summarize current implications for survey practice regarding within-household selection. We focus on selection of one adult out of all possible adults in a household; screening households for members who have particular characteristics has additional complications (e.g. Tourangeau et al. 2012; Brick et al. 2016; Brick et al. 2011), although designing experimental studies for screening follows the same principles

Association between anthropometric measures of obesity and cardiovascular risk markers in a self-selected group of indigenous Australians

Background Indigenous Australians have a high prevalence of obesity and an unacceptably high rate of cardiovascular disease. Methods We conducted a cross-sectional analysis of 93 high-risk indigenous Australians to assess how strongly three anthropometric measures correlated with known cardiovascular risk factors. Results Both waist circumference and body mass index were strongly associated with important risk factors. The waist: hip ratio was less useful. Waist circumference was the only measure that significantly correlated with the urine albumin creatinine ratio (p=0.14; P=0.04). Conclusion Measuring the waist circumference is a cheap, effective way of monitoring cardiovascular risk

A preliminary study of the relationship between Australian wine consumers' wine expertise and their wine purchasing and consumption behaviour

The definitive version is available at www.blackwell-synergy.comFew Australian wine companies have the resources to acquire consumer relevant information to assist their strategic decision-making. This exploratory study examined the relationship between Australian consumers' wine expertise and their self-reported wine related behaviours, such as wine purchasing and consumption. A measure of consumer wine expertise developed specifically for the Australian consumer, comprising a wine knowledge test and an aroma identification (sensory) test, was used to segment 61 wine consumers into three expertise levels. A large positive correlation between wine expertise and formal wine training was demonstrated. Data showed that females dominated the low and males the high expertise groups, respectively. The high expertise level consumers spent more on wine, purchased more bottles and fewer casks per month and consumed more wine in a week than the low and medium expertise groups. Analysis revealed significant differences between the styles of wine consumed by the various expertise levels. A combination of Factor and Cluster analyses generated three distinct consumer segment profiles based on wine purchase drivers. These preliminary data indicate that wine consumers' wine behaviour may be influenced by their wine expertise.Trent E. Johnson and Susan E.P. Bastia