Title: Mapping Item-Response Interactions: A Latent Space Approach to Item Response Data with Interaction Maps Author: Minjeong Jeon Affiliation: University of California, Los Angeles Abstract: In this talk, I introduce a novel latent space modeling approach to psychological assessment data. In this approach, respondents' binary responses to test items are viewed as a bipartite network between respondents and items where a tie is made when a respondent gives a positive answer to an item. The resulting latent space model provides a window into respondents' performance on the assessment, placing respondents and test items in a shared metric space referred to as an interaction map. The interaction map approach can help assess students' strengths and weaknesses from cognitive assessment and identify patients' symptom profiles from clinical assessment data. I will illustrate the utilities of the proposed approach, focusing on how the interaction map can help derive insightful diagnostic information on items and respondents.