May 22, 2014
A recently published special issue of Nicotine and Tobacco Research explores the use of ecological momentary assessments (EMA) in smoking research. The issue, “New Methods for Advancing Research on Tobacco Dependence Using Ecological Momentary Assessments,” was edited by Stephanie Lanza, scientific director of The Methodology Center, Megan Piper, assistant professor in the University of Wisconsin department of medicine and lead researcher at the Center for Tobacco Research and Intervention, and Saul Shiffman, professor of psychology at the University of Pittsburgh.
In their editorial, Elizabeth Ginexi, William Riley, Audie Atienza, and Patricia L. Mabry of the National Institutes of Health discuss the promise that these methods hold for behavioral health research outside of smoking research. The specific methods featured in the issue include time-varying effect models (TVEMs), multilevel models and their extension to predict intra-individual variability, and dynamical systems models. The special issue also includes studies that rely on data integration, specifically to integrate functional magnetic-resonance imaging (fMRI) data and global positioning system (GPS) data with EMA. If you work with or want to learn more about EMA data, this issue has something to offer.
The issue was funded by the National Cancer Institute and the Office of Behavioral and Social Sciences Research. The article was generated due to the strong response to a preconference workshop at the 2012 Society for Research on Nicotine and Tobacco Annual Meeting. Presentations from the workshop can be found on The Methodology Center website. A link to the table of contents of the special issue can be found below.