Evaluate the validity, reliability, and equity implications of value‑added models (VAMs) used for teacher evaluation in urban public school districts. Assess statistical assumptions, measurement error, student mobility, subgroup bias, test content coverage, effect size interpretation, high‑stakes consequences, and legal/ethical concerns; critique empirical evidence and recommend methodological and policy changes to improve fairness and accuracy.