Month: February 2021

CNN Features Program Alumna, Dr. Karen Rambo-Hernandez

A recent news story on CNN.com features Dr. Karen Rambo-Hernandez, an MEA (RMME) graduate and current Associate Professor in the Department of Teaching, Learning, and Culture at Texas A&M University. This story details the kindness of neighbors, working together and helping one another as they struggle through a brutal winter storm that has left millions of Texans out of power and in the cold. It warms our hearts and reminds us all what makes the RMME community special…its members!

See here for the full story:

https://www.cnn.com/2021/02/18/us/neighbors-helping-texas-winter-storm-trnd/index.html

Upcoming RMME/STAT Colloquium (2/26): Edward Ip, “Partially Ordered Responses and Applications”

RMME/STAT Joint Colloquium:

Partially Ordered Responses and Applications

Edward Ip
Wake Forest University

Friday, February 26th, at 12:00PM EST

https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=mc1ed9d99b7e6b63ab2796d729867e365

Partially ordered set (poset) responses are prevalent in fields such as psychology, education, and health. For example, the psychopathologic classification of no anxiety (NA), mild anxiety (MA), anxiety with depression (AwD), and severe anxiety (SA) form a poset. Due in part to the lack of analytic tools, poset responses are often collapsed into other data forms such as ordinal data. During such a process, subtle information within a poset is inevitably lost. In this presentation, a longitudinal latent-variable model for poset responses and its application to health data will be described. It is argued that latent variable modeling enables the integration of information from both ordinal and nominal components in a poset. Using the abovementioned example, NA>{MA,AwD}>SA form the ordinal component, and MA and AwD form the nominal component. Specifically, it will be demonstrated that the latent variable model “discovers” implicit ordering within the nominal categories. This is possible because both intra-person and inter-person information are borrowed to reinforce inference. Some potential applications of the poset model will also be highlighted.

 

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Dr. Chris Rhoads to Deliver Keynote at LEAD Retreat

RMME faculty member, Dr. Chris Rhoads, will deliver a (virtual) keynote address at the LEAD retreat on April 16, 2021. The title of his talk is: Research Design for Educational Effectiveness Studies:  Statistical and Practical Considerations. The LEAD retreat is sponsored by the LEAD Graduate School and Research Network, which is based in Tubingen, Germany.