| Owner: |
Peter Li
|
| Owner Email: |
lixx1474@umn.edu
|
| Paper Title: |
More General or More Specific? Implications of Specificity of Race/Ethnicity Disaggregation
|
| Session Title: |
Advancing Psychometric Modeling: Innovative Techniques for Educational Assessment (Table 8)
|
| Paper Type: |
Roundtable Presentation
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| Presentation Date: |
4/25/2025
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| Presentation Location: |
Denver, CO
|
| Descriptors: |
Data use, Decision Making, Ethnicity
|
| Methodology: |
Quantitative
|
| Author(s): |
Peter Li, University of Minnesota; Qian Zhao, University of Minnesota
|
| Unit: |
Division D - Measurement and Research Methodologies
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| Abstract: |
With noncognitive measures and education outcomes data from 157,757 students, we partitioned variance between and within groups based on race/ethnicity (more general data disaggregation) versus national origin (more specific data disaggregation). ICCs of HLM two-level models were twice as large or more for groups based on national origin. We discuss implications of specificity of data disaggregation for policy and practice.
|
| DOI: |
https://doi.org/10.3102/2195452
|