Data

Cali Curley, Rachel Krause, Richard Feiock, and Chris Hawkins | In our UAR article, we seek to raise awareness about how to treat missing data in urban studies research. A large proportion of the empirical research on urban politics and policy relies on data collected through surveys of local government or community organization leaders. Surveys provide a relatively efficient way to collect large amounts of consistently measured individual or organizational information needed to conduct comprehensive and accurate statistical analysis. This is particularly important if the aim of research is to produce generalizable findings and contribute to understanding a particular phenomenon by testing theory. However, missing data is a common and significant challenge in survey-based research. It often influences the selection of a statistical method of analysis, and, depending on its severity, can undermine the confidence of analysis. Nonetheless, the problems associated with missing data are among the least acknowledged issues when conducting and reporting analysis. Read More