Author: Newton, Sarah

Upcoming RMME/STAT Colloquium (10/11): Sandip Sinharay, “Assessment of Fit of Item Response Theory Models: Full-information and Limited-information Methods, Item and Person Fit Analysis, and Beyond”

RMME/STAT Joint Colloquium

Assessment of Fit of Item Response Theory Models: Full-information and Limited-information Methods, Item and Person Fit Analysis, and Beyond

Dr. Sandip Sinharay

Educational Testing Service (ETS) Research Institute

Friday, October 11, at 11:15 AM ET

AUST 110

https://tinyurl.com/rmme-Sinharay

Item response theory (IRT) is one of the central methodological pillars supporting many large and high-profile assessment programs globally. IRT analysis is essentially a type of discrete multivariate analysis and is performed using IRT models that are latent variable models for discrete data. However, IRT models involve multiple assumptions like conditional independence, monotonicity etc. and the results obtained from IRT models may not be accurate if one or more of the assumptions are not met, that is, if there is IRT model misfit. This presentation will include a comprehensive review of the literature on the assessment of fit of IRT models. The presenter will discuss various approaches and concepts regarding IRT model fit including full-information and limited-information methods, residual analysis, item and person-fit analysis, Bayesian methods, analysis for differential item functioning, and assessment of practical significance of misfit. A real data example will be used to illustrate some of the approaches. One goal of the presentation is to stimulate discussions involving the audience members regarding IRT model-fit assessment.

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

RMME Programs Celebrates its Summer 2024 Grads!!!

UConn’s Research Methods, Measurement, & Evaluation (RMME) Programs Community is thrilled to recognize its Summer 2024 RMME Master’s degree program and Graduate Certificate in Program Evaluation program graduates! We are so proud of you and cannot wait to see the many ways you represent RMME Programs as our outstanding alumni! Congratulations, from the entire Research Methods, Measurement, & Evaluation Community!

 

 

 

RMME Participates in M3 2024

Multiple RMME Community members participated in the 2024 Modern Modeling Methods (M3) Conference this June. Hosted by RMME faculty member, Dr. Betsy McCoach, the M3 Conference is a must-attend event for research methodologists, statisticians, statistical modelers, quantitative analysts, measurement experts, and more! Check out the photos below of RMME Community members in action at M3 2024!

 

RMME Community Members Present at the 2024 Modern Modeling Methods (M3) Conference!

 

RMME Community Members Present at the 2024 Modern Modeling Methods (M3) Conference!

 

RMME Community Members Present at the 2024 Modern Modeling Methods (M3) Conference!

RMME Programs Celebrates its Spring 2024 Grads!!!

UConn’s Research Methods, Measurement, & Evaluation (RMME) Programs proudly recognizes its Spring 2024 RMME Master’s degree program and Graduate Certificate in Program Evaluation program graduates! We are thrilled to celebrate you and your amazing accomplishments and watch your careers unfold! Congratulations, from everyone in the Research Methods, Measurement, & Evaluation Community!

 

 

 

RMME Community Members to Present at M3 2024

Join UConn’s RMME Programs and all of the attendees of the 2024 Modern Modeling Methods (M3) Conference this June on UConn’s main campus in Storrs, CT, from June 24 – 26. Hosted by RMME faculty member, Dr. Betsy McCoach, the M3 Conference is a must-attend event for research methodologists, statisticians, statistical modelers, quantitative analysts, measurement experts, and more! Check out this sneak peek of presentations by RMME Community members this year! We hope to see you in Storrs this June!

 

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab