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Research Overview

Our lab is interested in measurement issues in psychological and educational testing. We specialize in item response theory and its applications to large-scale testing programs. Specific topics of interest include measurement invariance, test/item bias, computerized adaptive testing, cognitive diagnosis, classification accuracy and consistency and so on. In addition to developing new methodologies, we are very interested in applying advanced statistical methods to substantive areas, such as health outcome research. Our members are associated with American Educational Research Association, International Association of Computerized Adaptive Testing, Psychometric Society and National Council of Measurement in Education.

News

  • NEW! Maxwell Hong and Daniella Reboucas have officially joined the Psychological and Educational Measurement Lab as our newest graduate students.

  • We are excited to have Katlynn Kennedy, Kristie LeBeau, and Lan Luo join us as they participate in our summer NSF Computational Social Science REU : Data Mining Large-scale Educational Assessment Data!

  • Congratulations to Can Shao, who published a first-author article in Psychometrika, entitled "Detection of Test Speededness Using Change-Point Analysis".

  • Congratulations to Quinn Lathrop, who defended his dissertation in the summer of 2015, and joined NWEA as a research scientist.

  • Congratulations to Can Shao, who received the 2015 Graduate Student Travel Award from the Psychometric Society.

  • Dr. Ying (Alison) Cheng received the 2014 NSF CAREER award to work on computerized adaptive testing on AP Statistics. The award comes with $600,000 research grant for five years. Please visit the project website AP-CAT for information and news about the project, opportunities to participate, and educational outreach activities.

  • Jeff Patton defended his dissertation in the summer of 2014, and became an assistant professor at the University of Maryland, College Park.

  • Dr. Ken Kelley and Dr. Ying (Alison) Cheng won Best Paper Award from European Congress of Methodology. The award winning paper entitled "Estimation and Confidence Interval Formation for Reliability Coefficients of Homogeneous Measurement Instruments" was published in Methodology in 2012. The best-paper award is a bi-annual award given to the best article published in this journal in the last two years.

  • New Book edited by Dr. Ying (Alison) Cheng and Dr. Hua-Hua Chang, entitled "Advancing Methodologies to Support Both Summative and Formative Assessments" is published by Information Age Publishing. Information can be found at Dr. Ying (Alison) Cheng 's webpage.

  • Information regarding the labs seven 2014 NCME/AERA/CAERDA conference presentations can be found here.

  • Congratulations to Can Shao, who was the lead author on the award-winning poster. The poster entitled "Anchor selection embedded mediated MIMIC model for understanding DIF mechanism" won first place at the 2014 AERA Division D Research Gala.

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Members (Notre Dame)


Current Undergraduate Student Members
  • Rachel DaDamio (2016)

  • Anusha Jain (2016)

  • Katlynn Kennedy (2016)

  • Kristie LeBeau (2016)

  • Lan Luo (2016)

  • Taylor Weston (2015 - 2016)


Former Undergraduate Student Members
  • Caroline McKee (2015 - 2016)

  • Bridget Daly (2015)

  • Madison Walsh (2015)

  • Emily Ahles (2014 - 2015)

  • Megan Gerspach (2014)

  • Amy Purdy (2013)


Former students

  • Can Shao

  • Jeff Patton (now tenure-track assistant professor at the University of Maryland, College Park)

  • Quinn Lathrop (now research scientist at NWEA, Portland, Oregon)


Collaborators (Notre Dame)

Collaborators (External)

  • Research group led by Dr. John Behrens at the Center for Digital Data, Analytics, & Adaptive Learning.

  • Dr. Qi Diao at CTB/McGraw-Hill.

Research Opportunities

If you are interested in joining the Psychological and Educational Measurement Lab, or would like more information about our research, contact Mr. Brendan M. Whitney at bwhitney@nd.edu, or Dr. Ying Cheng at ycheng4@nd.edu














(Members only)