Maryland Assessment Research Center (MARC)

2018 MARC Conference

The Eighteenth Annual MARC Conference:

Innovative Psychometric Modeling and Methods (Nov. 1st-2nd, 2018)

Located at the Adele H. Stamp Student Union, University of Maryland, College Park, MD 20742

(Live streaming video will be available online after the conference for repeated viewing)

  • Jointly supported by the Maryland State Department of Education and the Maryland Assessment Research Center.
  • This conference has invited speakers to present new and emerging models and methods for psychometric analysis and applications.

Presentation Schedule

November 1st (Thursday)
Morning Session I
7:30-8:30Registration and Breakfast
8:30-8:45Welcome and CommentsHong Jiao (University of Maryland)
8:45-9:30

Advancing psychometric methods for assessing cognitive theory and tracking learning

1_culpepper_marc_2018.pdf
Steven Culpepper (University of Illinois at Urbana-Champaign)
9:30-10:15

Improving attribute classification accuracy in high dimensional data: A three-step latent regression approach

2_Maryland_jdlt.pdf
Jimmy de la Torre (The University of Hong Kong)
Break
Morning Session II
10:30-11:15

Generalized Linear Mixed Effect Models for Intensive Binary Temporal-Spatio Data from an Eye Tracking Technique

2018_Maryland_Sun-Joo_Cho.pdf
Sun-Joo Cho (Vanderbilt University)
11:15-12:00

Network analysis for learning analytics 

4_Mengxiao_Zhu_Network_Analysis(new).pptx
Mengxiao Zhu (Educational Testing Service)

 

November 1st (Thursday)
Afternoon Session I
1:00-1:45

Item tree models for time series data on eye tracking

5_MARC_Paul_De_Boeck.pdf
Paul De Boeck (The Ohio State University)
1:45-2:30

Theoretical and Practical Considerations for Bridging Models of Learning and Assessment

6_Benjamin_MARC_2018_presentation.pdf
Benjamin Deonovic & Gunter Maris (ACT, Inc)
Break
Afternoon Session II
2:45-3:30

A graphical and generalized linear model approach to latent variable modeling

7_FrankA.pptx
Frank Rijmen (American Institutes for Research)
3:30-4:15

Modeling hint use and response accuracy in learning environments 

8_Maria_Bolsinova_MARC_Slides.pdf
Maria Bolsinova (ACT, Inc)

 

November 2nd (Friday)
Morning Session I
7:30-8:30Registration and Breakfast
8:30-9:15

Bayesian Marginal Joint Modeling of Process Data

 

Jean-Paul Fox (University of Twente)
9:15-10:00

Modeling student choices within complex tasks using Markov decision processes

10_LaMar_MARC_2018_v3.pptx
Michelle LaMar (Educational Testing Service)
Break
Morning Session II
10:15-11:00

Identifying observable outcomes in game-based assessments

11_Russel-IDobs-MARC.pdf
Russell Almond, Valerie J. Shute, Seyfullah Tingir & Seyedahmad Rahimi (Florida State University)
11:00-11:45

A Regime-Switching Structural Equation Modeling Framework for Formulating Multi-Phase Linear and Nonlinear Growth Curve Models 

12_ChowRegimeSwitchingModels2.pdf(new).pdf
Sy-Miin Chow (Pennsylvania State University)
11:45-12:00Closing Comments Robert Lissitz (University of Maryland)