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
7:30-8:30	Registration and Breakfast
8:30-8:45	Welcome and Comments	Hong 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
7:30-8:30	Registration 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)
11:45-12:00	Closing Comments	Robert Lissitz (University of Maryland)