Value-added myth busting, Part 4: Value-added models cannot measure growth of students who have missing data or are highly mobile

Students with missing test scores are often highly mobile students and are more likely to be low-achieving students. It is important to include these students in any growth/value-added model to avoid selection bias, which could provide misleading growth estimates to districts, schools and teachers that serve higher populations of these [...]