Bradley, Kelly

Owned by UKY CCS RCD
Jun 09, 2024
2 min read

Submitted by Kelly D. Bradley, Ph.D., June 10, 2020


The Rasch Measurement Research Group is initiated and led by Dr. Kelly Bradley, collaborating research endeavors of faculty and graduate students exclusively with respects to Rasch measurement methodological and applied research. Some essential group activities include:

  • Members are provided with Rasch measurement soft-wares.
  • Student workspace is available in the Stillwell Research/Evaluation Center Suite. 
  • Students are provided mentorship in small groups and support/collaboration from whole group.
  • Each student is involved in a minimum of two research papers, with at least one being a manuscript. The second piece could be a manuscript or a conference paper/proposal leading to a second manuscript. In addition, each student should be lead on at least one work. 
  • Group meets once a month as a whole group, and members meet more frequently as a small group.


Current project:

A Simulation Study: Comparing the DIF Detection Capacities of the Rasch Trees Model Tests to Two Common DIF Approaches for Partial Credit Models


Personnel:

Dr. Kelly Bradley, Dr. Chunling Niu, Rui Jin, Nate Wilson

Computational methods:

We are running parallel simulations in R to speed up the time it would take to run on a single processor. Utilizing Rasch/IRT-based conditional maximum likelihood estimation.


Software:

Simulation Study #1 (current study): Comparing the DIF Detection Capacities of the Rasch Trees Model Tests to Two Common DIF Approaches for Partial Credit Models Soft-ware to be used: R

The R packages we are using include: library("psychotree"); library("psychotools"); library("strucchange"); library("lordif"); library("mirt"); library("strucchange"); library("dplyr")


UK and non-UK collaborators:

PI: Dr. Kelly Bradley, Professor and Chair Educational Policy Studies & Evaluation, Program Chair of Research Methods in Education, University of Kentucky; College of Education

Co-PI: Dr. Chunling Niu, doctoral student in Educational Policy Studies & Evaluation, University of Kentucky; College of Education

Co-Investigator: Rui Jin, doctoral student and Research Assistant in Educational Policy Studies & Evaluation, University of Kentucky; College of Education

Co-Investigator: Nate Wilson, doctoral student and Research Methods Teaching Assistant in Educational Policy Studies & Evaluation, University of Kentucky; College of Education


Grants:


Publications:


Patents:

Center for Computational Sciences