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Aggregated relational data (ARD) are an increasingly common tool for learning about social networks through standard surveys. Recent statistical advances present social scientists with new options for analyzing such data. In this article, we propose guidelines for learning about various network processes using ARD and a template to aid practitioners. We first propose that ARD can be used to measure "social distance" between a respondent and a subpopulation (individuals named Kevin, those in prison, or those serving in the military). We then present common methods for analyzing these data and associate each of these methods with a specific way of measuring social distance, thus associating statistical tools with their underlying social science phenomena. We examine the implications of using each of these social distance measures using an Internet survey about contemporary political issues.

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Background: Knowledge and attitudes of nursing students toward COVID-19 play a significant role in preparing their willingness to accept measures of behavioral change from health professionals. Objectives: Assess undergraduate nursing students' attitude and knowledge towards COVID 19 and their correlation with stress and hope level.

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