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Download full textvon Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Peer reviewed
Direct linkLi, Diyi; Koedel, Cory – Educational Researcher, 2017
We use data from 2015-2016 to document faculty representation and wage gaps by race-ethnicity and gender in six fields at selective public universities. Consistent with widely available information, Black, Hispanic, and female professors are underrepresented and White and Asian professors are overrepresented in our data. Disadvantaged minority and…
Descriptors: Public Colleges, Teacher Salaries, Racial Differences, Ethnic Groups
Cronin, John; Dahlin, Michael; Xiang, Yun; McCahon, Donna – Thomas B. Fordham Institute, 2009
The intent of the No Child Left Behind (NCLB) Act of 2001 is to hold schools accountable for ensuring that all their students achieve mastery in reading and math, with a particular focus on groups that have traditionally been left behind. Under NCLB, states have leeway to: (1) Craft their own academic standards, select their own tests, and define…
Descriptors: Federal Legislation, Educational Improvement, Educational Indicators, Federal Programs
