Yasmiyn Irizarry
Utilizing Multidimensional Measures of Race in Education Research
The University of Texas at Austin
education scholarship race using quantitative data analysis consists largely studies blackwhite dichotomy recently experiences students within conventional racialethnic categories white hispaniclatinao asian black despite substantial shifts racial ethnic composition american children studies continue overlook diverse racialized experiences students asian latinao descent racialization immigration status educational experiences native american students study provides one possible strategy developing multidimensional measures race using largescale datasets demonstrates utility multidimensional measures examining educational inequality using teacher perceptions student behavior case point data first grade wave early childhood longitudinal study kindergarten cohort 19981999 examine differences teacher ratings externalizing problem behaviors approaches learning across 14 racialized subgroups intersections race ethnicity immigrant status results show substantial subgroup variation teacher perceptions problem learning behaviors highlight key points divergence convergence within conventional racialethnic categories