213 A Hobbs
Post-Doc., University of California, Berkeley, (Educational Measurement and Statistics, 2007-2009)
Ph.D., University of Georgia, (Educational Measurement and Statistics, Winter 2007)
M.A., Yonsei University, Seoul, South Korea, (Statistics, 2003)
B.A., Yonsei University, Seoul, South Korea, (Education, 2001)
Item Response Theory I (Graduate PSY-GS 326; Undergraduate PSY-PC 2590): Fall 2014
Item Response Theory II (Graduate PSY-GS 327): Spring 2015
Psychometric Methods (Undergraduate PSY-PC 2530)
National Council on Measurement in Education (NCME)
American Educational Research Association (AERA) Division D
Assistant Professor of Psychology and Human Development
Research topics include generalized latent variable modeling and its parameter estimation, with a focus on item response modeling.
Data complexity Dr. Cho has dealt with consists of (1) multiple manifest person categories such as a control group versus an experimental group in an experimental design, (2) multiple latent person categories (or mixtures or latent classes) such as a mastery group versus a non-mastery group in a cognitive test, (3) multiple manifest item groups that may lead to multidimensionality such as number operation, measurement, and representation item groups in a math test, (4) multiple manifest person groups such as schools where students are nested in a multilevel (or hierarchical) data structure, and (5) multiple time points such as pretest and posttest in intervention studies.