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Yon Soo Suh on Muck Rack

Yon Soo Suh

As seen in: MDPI, Taylor & Francis Online, Daily Bruin
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Articles

A Modularized Higher-Order Diagnostic Classification Model for Clustered Attribute Hierarchies

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By Minho Lee, Yon Soo Suh
| Taylor & Francis Online
Abstract Recognizing that complex networks of skills typically exhibit hierarchical and modular organization, this article presents a Modularized Higher-Order Diagnostic Classification Model (MHO–DCM) designed to capture hierarchical relationships among attributes organized into clustered subdomains. Central to the proposed method is a representation of attribute hierarchies in which attributes are grouped into cognitively coherent subgraphs nested within a single higher-order ability continuum.
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Item Response Analysis of a Structured Mixture Item Response Model with mirt Package in R

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By Minho Lee, Yon Soo Suh, Minjeong Jeon, Yon Soo
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Op-ed: Waiving test scores in graduate admissions process reduces equity

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By Yon Soo Suh
| Daily Bruin Verified
When a graduate program decides to waive standardized test scores from its admissions process, students from underserved backgrounds and even international applicants like myself are put at a serious disadvantage. I believe that there is a side to this story that often goes undiscussed – the reality that removing test scores fails the very students graduate schools are working so hard to attract, admit and retain.
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