News & Updates
Upcoming RMME/STAT Colloquium (11/20): Bengt Muthen, “Recent Advances in Latent Variable Modeling”
Recent Advances in Latent Variable Modeling
Bengt Muthen
Friday, November 20, 2020
11:30am -1:00pm
Abstract: This talk gives an overview of some recent and ongoing latent variable research. Borrowing ideas from multilevel factor analysis, longitudinal SEM in a single-level, wide format is formulated in a new way that finds a well-fitting model 45 years after the writing of the classic Wheaton, Muthen, Alwin, and Summers article. This segues into a generalization of latent transition analysis using the multilevel notion of a random intercept while staying in a single-level, wide format. Turning back to multilevel modeling, the talk considers time series analysis of intensive longitudinal data. This is illustrated by intervention data on electricity consumption and a randomized intervention related to positive and negative affect where cycles play a major role. Finally, the new feature in Mplus Version 8.5 of Bayesian analysis of count, nominal, and binary logit models is presented.
This session is jointly sponsored by the Statistics department and the Research Methods, Measurement, and Evaluation program as part of the Statistical Applications and Quantitative Research Methods colloquium series.
Tanesia Beverly Successfully Defends Doctoral Dissertation
Tanesia Beverly successfully defended her doctoral dissertation entitled, “Examining Within Person Changes in Speed in a Verbal Reasoning Test.” Congratulations, Dr. Beverly!
RMME’s 11/6 Application Deadline for Online Programs
Looking to enhance your skills in program evaluation, quantitative research, measurement and/or data analysis? Know a colleague who wants to develop this in-demand skill set? Get prepared for the future of Research Methods, Measurement, & Evaluation (RMME) at the University of Connecticut!
With 100% Online or Campus-based options for our 12-credit Graduate Certificate in Program Evaluation and 30-credit RMME Master’s Degree, we offer:
– Flexibility for working professionals—Study anytime, anywhere;
– Courses designed and taught by expert RMME faculty;
– Opportunities for individualized course selection to facilitate your personal career goals;
And more!
Furthermore, with advanced planning, it is even possible to earn BOTH the Graduate Certificate in Program Evaluation and the RMME Master’s Degree WITH NO ADDITIONAL COURSEWORK (beyond the 30 credits required for the master’s degree).
For more information, please visit:
100% Online Program Evaluation Certificate
100% Online RMME Master’s Degree
Or email: methods@uconn.edu
Start your journey today—Spring 2021 application deadlines for both the Program Evaluation Certificate and RMME Master’s Degree programs are November 6, 2020, 11:59pm EST!
RMME Participates in the UConn Fall 2020 Virtual Graduate School and Law School Fair
Come meet our faculty and learn more about UConn’s Research Methods, Measurement, & Evaluation (RMME) program! On Thursday, October 15th 2020, from 2:00 pm – 5:00 pm EDT, several RMME faculty members/graduates will participate in UConn’s Virtual Graduate School Fair. With one-on-one appointments and group information sessions (M.A. from 3:00pm – 3:30pm; Ph.D. from 3:30pm – 4:00pm), this event offers everything you need to decide that RMME is for you!
View our virtual profile at: https://app.joinhandshake.com/employers/572568
Sarah D. Newton Successfully Defends Doctoral Dissertation
Sarah D. Newton successfully defended her doctoral dissertation entitled, “Multilevel Model Selection and Effective Sample Size—In Information Criteria We Trust.” Congratulations, Dr. Newton!
Dakota Cintron Successfully Defends Doctoral Dissertation
Dakota Cintron successfully defended his doctoral dissertation entitled, “Statistical Estimation of Large Ordinal Factor Analysis Models.” Congratulations, Dr. Cintron!
Did you know that you can earn an MA in RMME online?
Check out our fully online M.A. in Research Methods, Measurement, and Evaluation.
Dissertation Defense: Statistical Estimation of Large Ordinal Factor Analysis Models
Dakota Cintron’s oral defense of his dissertation, Statistical Estimation of Large Ordinal Factor Analysis Models, is Monday, August 31st at 3pm at https://uconn-cmr.webex.com/meet/dem98003
Dakota Cintron named a 2019-2020 Gulliksen Fellow
Dakota Cintron, a Ph.D. student in RMME, is an ETS Gulliksen Fellow for the 2019-2020 academic year. Congratulations, Dakota!