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 […]

All of the faculty and staff at UConn’s RMME Programs are so proud to recognize our newest graduates from RMME Master’s degree program and RMME’s Graduate Certificate in Program Evaluation program We are thrilled for you all, and we cannot wait to see all of the amazing things you will accomplish with your new credentials! […]

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 […]

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 […]

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 […]

RMME/STAT Joint Colloquium A Bayesian Nonparametric Approach to Geographic and two-Dimensional Regression Discontinuity Designs Dr. Luke Miratrix Harvard University Friday, April 7, at 11AM ET https://tinyurl.com/rmme-Miratrix Geographical and two-dimensional regression discontinuity designs (RDDs) extend the classic, univariate RDD to multivariate, spatial contexts. We propose a framework for analyzing such designs with Gaussian process regression. This […]

RMME/STAT Joint Colloquium Modeling Coarsened Categorical Variables: Techniques and Software Dr. Joseph L. Schafer U.S. Census Bureau Friday, March 24, at 11AM ET https://tinyurl.com/rmme-Schafer Coarsened data can express intermediate states of knowledge between fully observed and fully missing. For example, when classifying survey respondents by cigarette smoking behavior as 1=never smoked, 2=former smoker, or 3=current […]

RMME Evaluation Colloquium The Health Profession Opportunity Grant (HPOG) Impact Study: A Behind-the-Scenes Look at Experimental Evaluation in Practice Dr. Laura Peck Abt Associates Friday, March 10, at 11AM ET https://tinyurl.com/eval-Peck In 2010, the U.S. Department of Health and Human Services’ Administration for Children and Families awarded Health Profession Opportunity Grants (HPOG 1.0) to 32 […]

RMME/STAT Joint Colloquium Bookmaking for Binary Outcomes: Prediction, Profits, and the IMV Dr. Ben Domingue Stanford University Friday, February 24, at 11AM ET https://tinyurl.com/rmme-Domingue Understanding the “fit” of models designed to predict binary outcomes is a long-standing problem. We propose a flexible, portable, and intuitive metric for such scenarios: the InterModel Vigorish (IMV). The IMV […]

Ashley Taconet, a graduate of RMME’s Graduate Certificate in Program Evaluation Program and a current doctoral student in Neag’s Educational Psychology department, earned one of five scholarships awarded to graduate students by the Council for Exceptional Children’s Division on Career Development and Transition in 2022. Ashley earned this award for the project entitled, “Examining Independent […]

Dr. Graham Rifenbark (an RMME alumnus), Dr. H. Jane Rogers (retired RMME faculty member), Dr. Hariharan Swaminathan (retired RMME faculty member), Ashley Taconet (RMME Program Evaluation Certificate graduate) and Shannon Langdon (RMME Program Evaluation Certificate graduate) contributed to a recently published article lead by Dr. Allison Lombardi, entitled: “Establishing Construct Validity of a Measure of […]

We, here at UConn’s RMME Programs, are thrilled to celebrate our newest alumni from the RMME Master’s degree program and RMME’s Graduate Certificate in Program Evaluation program We cannot wait to see all of the amazing things you will accomplish, as you further your career with your your well-deserved, new credential(s). Congratulations, Shannon A., Shannon […]

  The RMME Community celebrates researchers from the Neag School of Education, who received awards at the 2022 annual meeting of the National Association for Gifted Children (NAGC). RMME Professor, Dr. D. Betsy McCoach, earned recognition as the 2022 NAGC Distinguished Scholar. In this capacity, she gave a featured presentation entitled: “How Can We Answer […]

    Mark your calendar! The Modern Modeling Methods (M3) conference returns to UConn after a lengthy pandemic-induced hiatus. From June 26-28, 2023, M3 will resume as an in-person conference on the Storrs campus. Keynote speakers and workshop presenters include Bengt Muthen, Tihomir Asparouhov, and Ellen Hamaker. Remember to check the M3 website regularly for more information and updates. […]

RMME/STAT Joint Colloquium Testing an Elaborate Theory of a Causal Hypothesis Dr. Dylan Small University of Pennsylvania Friday, November 11, at 11AM ET https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m8da0e35b64c861fc97a21dd36fb29ded When R.A. Fisher was asked what can be done in observational studies to clarify the step from association to causation, he replied, “Make your theories elaborate” — when constructing a causal […]

The National Association for Gifted Children (NAGC) recently announced its 2022 NAGC Award recipients, and RMME Programs has multiple reasons to celebrate!   *Dr. D. Betsy McCoach (RMME Professor) earned NAGC’s Distinguished Scholar Award. *Pamela M. Peters (RMME Doctoral Student) earned NAGC’s Carolyn Callahan Doctoral Student Award. *Dr. D. Betsy McCoach (RMME Professor) co-authored a […]

Congratulations to RMME Faculty Member, Dr. Bianca Montrosse-Moorhead, who was recently named Co-Editor-In-Chief of the exceptional evaluation journal, New Directions for Evaluation (see announcement here). This publication is one of two published by the premier professional organization for evaluators, the American Evaluation Association. Dr. Montrosse-Moorhead will serve in this role for the next three years […]

RMME/STAT Joint Colloquium Searching for Truth through Data Dr. Edsel A. Pena University of South Carolina Friday, October 7, at 11:15AM ET, AUST 108 https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m9667e91caf1197b47fc45f50529388b9 This talk concerns the role of statistical thinking in the Search for Truth using data. This will bring us to a discussion of p-values, a much-used tool in scientific research, […]

RMME/STAT Joint Colloquium Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment Dr. Kosuke Imai Harvard University Friday, September 9, at 11:00AM ET https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m486f7b13e6881ba895b350f338b0c90d Despite an increasing reliance on fully-automated algorithmic decision-making in our day-to-day lives, human beings still make highly consequential decisions. As frequently seen in business, healthcare, and public policy, […]

Dr. Anthony J. Gambino (RMME alumnus), Dr. Sarah D. Newton (RMME alumna), and Dr. D. Betsy McCoach (current RMME faculty member) unveiled their new STATA package, mlmeval, at the STATA Conference in Washington, DC this week. Their work pushes the field forward by offering a new tool that provides users with information about both model fit […]