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Students & Educators
Nadja Young 0
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

Students & Educators
Nadja Young 1
Busting myths of education value-added analysis, Part 3: Simple growth measures provide better information to educators.

Welcome to Part 3 of the value-added Myth Busters blog series. I have heard a variation of this many times. “Why shouldn’t educators just use a simple gains approach or a pre- and post-test? They can trust simpler methodologies because they can replicate and understand them more easily.” Simple growth measures

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