What does disaggregated data analysis focus on?

Disaggregated data analysis specifically targets test results for particular subgroups within a larger population. This approach allows educators and counselors to examine performance metrics that account for different demographic factors, such as race, ethnicity, socioeconomic status, gender, and special education needs. By analyzing data in this way, it becomes possible to identify specific trends, disparities, and areas for improvement that may not be evident when looking at overall averages. This kind of focused analysis is crucial for addressing achievement gaps and tailoring interventions to meet the varied needs of all students.

In contrast, general student performance encompasses broad metrics without delving into the nuances of specific groups. Statewide assessments refer to standardized tests administered across a state but do not inherently provide insights into subgroup performance unless disaggregated. Parental involvement addresses the role and engagement of families in the educational process, which, while important, is not the primary focus of disaggregated data analysis.