American Statistical Association
New York City
Metropolitan Area Chapter

New York State Psychiatric Institute
and Columbia University
Seminar for Biostatistics in Psychiatry



THEORY OF SELF-LEARNING Q-MATRIX

by

Jingchen Liu, Ph.D.
Department of Statistics
Columbia University


Abstract

Cognitive assessment is a growing area in psychological and educational measurement, where subjects' responses are collected to assess mastery of skills in educational measurements or presence of mental disorders in psychological measurements. Such (latent) characteristics (mastery of skills and presence of disorders) are usually called attributes. A key issue is the correct identification of the attributes associated with each item (such as exam problems or survey questions). Such a relationship is usually described by the so-called Q-matrix. In this talk, we address the estimation problem of the Q-matrix based on the subjects’ responses under stylized diagnostic classification models. We apply the proposed method to several educational testing examples including standard language testing and a midterm exam from a course taught by me last semester.

Biographical Note

Dr. Jingchen Liu is currently an Assistant Professor in the Department of Statistics at Columbia University. Jingchen received his Ph.D. in Statistics from Harvard University in 2008. His research interest consists of Bayesian modeling especially for missing data, multiple imputation, applied probability, and Monte Carlo methods.


Date: Tuesday, February 21, 2012
Time: 3:30 - 4:30 P.M.
Location: New York State Psychiatric Institute
1051 Riverside Drive
6th Floor Multipurpose Room (6602)
New York, New York
(Directions)

RESERVATIONS ARE NOT REQUIRED

Coffee: 3:00 to 3:30 P.M.
Informal Reception: 4:30 to 5:00 P.M.


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