The presentation of data broken into segments of the student population instead of the entire enrollment. Typical segments include students who are economically disadvantaged, from racial or ethnic minority groups, have disabilities, or have limited English fluency. Disaggregated data allows parents and teachers to see how each student group is performing in a school. (Ed Source)
For test results, data broken out by subgroups such as gender, race, income level, and region of the state.
a requirement of both QPA and NCLB to move thinking away from determining the level of learning through the use of building averages is to examine the performance of traditionally underperforming sub-populations (low socio-economic status [SES], minority ethnic, special education, migrant, and English Language learner [ELL] groups) to assure that all sub-populations are improving
disaggregate means to separate a whole into its parts. In education, this term means that test results are sorted into group of students. Student groups specifically identified for sorting are students who are economically disadvantaged, from racial or ethnic minority groups, have disabilities, or have limited English fluency. South Dakota will also be looking at gender and migrant performance rates. Disaggregating the data will allow parents and teachers to see more than just the average score for their child's school; they will be able to see how each student group is performing.
This simply means data from different groups. "Disaggregate" means to separate a whole into its parts. So, the information is broken down by groups such as race, gender, income level, special needs, English language earners, subject and grade level. This helps parents and teachers to see more than just the average test score for a student's school and understand where the achievement gaps lie.
Data broken down by specific student subgroups, such as current grade, race, previous achievements, gender and socioeconomic status.
The Association for Supervision and Curriculum Development (ASCD) defines disaggregated data as test scores or other data broken down so that various categories or subgroups can be compared. For example, schools may break down the data for the entire student population (which is aggregated into a single set of numbers) to determine how minority students are doing compared with the majority, or how scores of girls compare with those for boys.
To disaggregate means to separate a whole into its parts. In education, this term means that test results are sorted by groups of students who are economically disadvantaged, from racial and ethnic minority groups, have disabilities, or have limited English fluency. This practice allows parents and teachers to see more than just the average score for their child s school. Instead, parents and teachers can see how each student group is performing. (U. S. Department of Education)
