Register Now! RMME faculty member, Dr. Bianca Montrosse-Moorhead will give a 3-module workshop in January 2021, sponsored by Encompass Learning Center.
This workshop will focus on best practices for combining different evaluation methods or frameworks. It is open to evaluators working all over the globe.
If you missed Dr. Bengt Muthen’s Colloquium, Recent Advances in Latent Variable Modeling, visit: https://www.statmodel.com/ to access the slides and video for this presentation!
As a continuation of the presentation series this fall, the University of Connecticut’s Research Methods, Measurement, & Evaluation (RMME) program and Statistics department will jointly sponsor several additional RMME/STAT colloquia, starting in January of 2021. So, mark your calendar now! And as always, be sure to check the RMME website for more information as these talks approach!
| 1/29/2021 | 12:00-1:15pm EST | P. Richard Hahn | Arizona State University |
| 2/26/2021 | 12:00-1:15pm EST | Edward Ip | Wake Forest University |
| 3/26/2021 | 12:00-1:15pm EST | David Dunson | Duke University |
| 4/16/2021 | 12:00-1:15pm EST | Susan Paddock | NORC University of Chicago |
| 4/23/2021 | 2:00-3:15pm EST | Jean-Paul Fox | University of Twente |
| 5/21/2021 | 12:00-1:15pm EST | David Kaplan | University of Wisconsin-Madison |
| 9/10/2021 | 12:00-1:00pm EST | Susan Murphy | Harvard University |
On December 4, 2020, Dr. Bianca Montrosse-Moorhead (RMME faculty member) gave a fantastic talk, entitled “Working with Youth in Evaluation” for EvalYouth Global, a global, multi-stakeholder network that supports and promotes young and emerging evaluators (YEEs) and youth-led accountability around the world. In this presentation, Dr. Montrosse-Moorhead spoke about the foundations, principles, and tensions in youth participatory evaluation work. Interested individuals can access a copy of her presentation at: https://www.researchgate.net/publication/346629709_Working_with_Youth_in_Evaluation.
RMME/STAT Joint Colloquium:
Response Accuracy and Response Time in Cognitive Tests
Paul De Boeck
The Ohio State University
December 18th at 12:00 EST
https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m1b6efd4435a2cd17535d693bd2ac1a14
It is an old and still unresolved issue how much a cognitive test score reflects ability and how much it reflects speed. The well-known speed-accuracy tradeoff does not make an answer to the question easier. In the presentation I will report the results of my research steps to investigate the problem. Briefly summarized, the findings are as follows. First, the correlation of ability and speed across persons depends on the test. Second, based on different kinds of modeling and different kinds of data, there seem to be remaining item-wise dependencies (i.e., conditional dependencies) between response accuracy and response time after controlling for the underlying latent variables. Third, the remaining dependencies depend on the difficulties of the test items and the dependencies also are curvilinear. I will present an explanation for the findings, and a tentative, complex answer to the old question of what is being measured in a cognitive test.
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 defended her doctoral dissertation entitled, “Examining Within Person Changes in Speed in a Verbal Reasoning Test.” Congratulations, Dr. Beverly!
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;
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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!
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