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In order to examine pet ownership and pet attachment as factors supporting the health of the elderly, a national probability sample of Americans 65 years of age and older was drawn. Participants answered telephone survey questions regarding pet ownership, life stress, social support, depression, and recent illness. In multiple regression analyses, pet ownership failed to predict depression and illness behavior, while pet attachment significantly predicted depression but not illness experience. In a group with particularly great distress (the bereaved), pet ownership and strong attachment were significantly associated with less depression only when the number of available confidants was minimal.

Snowball sampling is a well‐known, nonprobability method of survey sample selection that is commonly used to locate hidden populations. This method relies on referrals from initially sampled respondents to other persons believed to have the characteristic of interest. Limitations of this approach include nonrandom selection procedures, correlations between network size and selection probabilities, reliance on the subjective judgments of informants, and confidentiality concerns. Advantages include cost and efficiency.

Population-based estimates of substance use patterns have been regularly reported now for several decades. Concerns with the quality of the survey methodologies employed to produce those estimates date back almost as far. Those concerns have led to a considerable body of research specifically focused on understanding the nature and consequences of survey-based errors in substance use epidemiology. This paper reviews and summarizes that empirical research by organizing it within a total survey error model framework that considers multiple types of representation and measurement errors. Gaps in our knowledge of error sources in substance use surveys and areas needing future research are also identified.

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