Black and white headshot of Nilam Ram with dark hair, gray jacket, and light colored shirt.
Published on: Jan 18, 2018

The Quantitative Developmental Systems Methodology Core (QuantDev) recently had several of their studies featured in December’s special issue of The Journals of Gerontology: Psychological Sciences and Social Sciences. This journal presents studies that advance methodology or understanding in areas of human aging processes and outcomes. Fifteen recent methodological innovations in the psychological science and social science fields, several of which come from the QuantDev team, were published in this special issue.

Nilam Ram, director of QuantDev and professor of Human Development and Psychology, along with Miriam Brinberg, graduate student researcher, and Timothy Brick, assistant professor of human development and family studies, had their study presented in the Advances in Unit Analysis sub-section.

Two studies in the Advances in Measurement section were authored by Lizbeth Benson, graduate student researcher, and Rachel Koffer, Pathways T32 pre-doctoral training fellow, both of which were in collaboration with Ram.  

The Innovative Data Collection Approaches category featured a study that was a collaborative effort between Brick, Koffer, and Ram.

In the final section of the journal, Advances in Statistical Modeling, two studies were done by two teams: one being Brick and Allison Gray, graduate student researcher, and the other comprised of Julie Wood, graduate student researcher, Zita Oravecz, assistant professor of human development and family studies, Sy-miin Chow, professor of human development and family studies, and Lizbeth Benson.

Congratulations to the QuantDev team on this great accomplishment and we look forward to seeing their continued methodological developments in the future.

QuantDev, part of the Social Science Research Institute, is a team of methodologists who seek to stimulate, coordinate, support, educate, and disseminate research concerning the use of quantitative methods in social science research.