Nana Kim

My research interests primarily lie in the development and application of statistical models, such as item response theory (IRT) models, with the goal of better understanding how students/respondents interact with test items and consequently improving the measurement of psychological and cognitive constructs. I seek to model and understand psychological and cognitive response processes relevant to solving or responding to test items, especially toward understanding factors or components contributing to individual differences in measured outcomes. My recent works have focused on exploring the response behavior heterogeneity across individuals in noncognitive assessments (where Likert-type rating scale items are involved) and examining the usefulness of process data, such as item response times, in understanding response behaviors. I am also interested in collaborating with researchers from different areas to investigate more practical issues in education and social/behavioral sciences.

Courses I teach

• EPSY5221: Principles of Educational and Psychological Measurement (Fall 2022)
• EPSY8265: Factor Analysis (Fall 2022)