What effect do combination methods have on gifted identification?
With the attention we give to equity in gifted identification, the formula used to combine assessment data is an important tool to consider.
The latest research from the National Council for Research on Gifted Education indicates that the means by which we combine data can impact gifted identification rates across demographic subgroups.
Specifically, when a subgroup is underrepresented, the “and” (conjunctive) approach to assessment data increases the disparity, while “or” provides a greater potential for more diverse representation. For instance, if your lower socioeconomic subgroup is underrepresented, then combined results from iReady, CoGAT, and Naglieri will result in even fewer being identified from that group.
Conclusion: As you review your data and begin to work with those identified, consider revisiting the formula to remove any unnecessary obstacles for students from all backgrounds. This allows the committee to consider other perspectives on the same data. In this way, a district can undergo its own research on its ability to reach all students.
SOURCE
National Council for Research on Gifted Education. November 8, 2024. https://ncrge.uconn.edu
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