RMME News & Updates
RMME student, Jennifer Richardson, successfully defended her doctoral dissertation on September 6, 2023. Her work is entitled, “Mixed Effects Location-Scale Models: Methodological and Substantive Considerations.” Congratulations, Dr. Richardson, from the Research Methods, Measurement, & Evaluation Community!
RMME/STAT Joint Colloquium
Uncovering the Hidden Complexity of Statistical Models
Dr. Wes Bonifay
University of Missouri
Friday, October 13, at 11AM ET
https://tinyurl.com/rmme-Bonifay
Model complexity is the ability of a statistical model to fit a wide range of data patterns. Complexity is routinely assessed by simply counting the number of freely estimated parameters in a given model. However, complexity is also affected by configural form, that is, by the particular arrangement of the variables in the model. Recent considerations of configural complexity have found that certain models have an inherent tendency to fit well to any possible data (sometimes achieving superior goodness-of-fit when compared to alternative models that contain a greater number of free parameters!). In this talk, Dr. Bonifay will present a method for evaluating configural complexity and demonstrate how more sophisticated considerations of complexity can improve applied research in the social sciences.
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UConn’s RMME Programs are thrilled to celebrate our newest graduates from RMME Master’s degree program and RMME’s Graduate Certificate in Program Evaluation program! We cannot wait to see all of your outstanding accomplishments as a new RMME grad! Congratulations, Anthony!
RMME student, Alexandra Perez, successfully defended her doctoral dissertation this month. Her work is entitled, “Validity Threats When Comparing Results from Randomized Control Trials and Regression Discontinuity Designs.” Congratulations, Dr. Perez!
Register today for the 2023 Modern Modeling Methods Conference. Conference registration ends June 19!
2023 Modern Modeling Methods (M3) Conference
Dates: June 26 – June 28, 2023
Location: University of Connecticut’s Main Campus in Storrs, CT
Description: The Modern Modeling Methods (M3) Conference is an interdisciplinary conference designed to showcase the latest modeling methods and to present research related to these methodologies. Planned events include:
See the M3 Preliminary Program for a full list of talks.
Visit our website: modeling.uconn.edu.
All of the faculty and staff at UConn’s RMME Programs are so proud to recognize our newest graduates from
We are thrilled for you all, and we cannot wait to see all of the amazing things you will accomplish with your new credentials! Congratulations, Daniel, Katlin, Katie, Karen, Amanda, and Claudia!!!!
Drs. Bengt Muthén, Tihomir Asparouhov, & Ellen Hamaker will present a full-day pre-conference workshop at the 2023 Modern Modeling Methods Conference (see details below). Register soon because early-bird conference registration ends May 31, and all conference registration ends June 19!
2023 Modern Modeling Methods (M3) Pre-Conference Workshop
Date: Monday, June 26, 2023
Time: 8:30am – 5:00pm ET
Location: University of Connecticut’s Main Campus in Storrs, CT
Speakers: Bengt Muthén (UCLA, Mplus), Tihomir Asparouhov (Mplus), & Ellen Hamaker (University of Utrecht)
Workshop Title: New Features in Mplus Version 8.9 and Forthcoming 8.10
RMME/STAT Joint Colloquium
Applications of Artificial Intelligence and Natural Language Processing in Educational Measurement
Dr. Matthias von Davier
Boston College
Friday, April 21, at 11AM ET
https://tinyurl.com/rmme-vonDavier
This talk will provide an overview of the applications of Artificial Intelligence (AI) and Natural Language Processing (NLP) in educational measurement, focusing on automated item generation, automated scoring, and test assembly in multilingual assessments. We will discuss the potential benefits of AI and NLP for educational measurement, including increased efficiency, improved accuracy and reliability of assessment, and increased access to assessment technology for low-resource languages. We will examine the current state of the technology, including challenges associated with developing and deploying AI and NLP-based educational assessment systems. We will also discuss future directions for research and development in this area, including the development of methods for assessing and validating AI- and NLP-based systems and the potential for AI and NLP to improve assessment fairness and reduce assessment bias.
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RMME PhD Alumnus, Dr. Graham Rifenbark (far right), and PE Certificate Student & Neag PhD Student, Christopher Esposito (far left), attend the CEC 2023 Convention with colleagues.
Register today for the 2023 Modern Modeling Methods Conference. Early-bird conference registration ends May 31!
2023 Modern Modeling Methods (M3) Conference
Dates: June 26 – June 28, 2023
Location: University of Connecticut’s Main Campus in Storrs, CT
Description: The Modern Modeling Methods (M3) Conference is an interdisciplinary conference designed to showcase the latest modeling methods and to present research related to these methodologies. Planned events include:
See the M3 Preliminary Program for a full list of talks.
Visit our website: modeling.uconn.edu.
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