“…In many fields, experimental studies are held up as the "gold standard" for evaluation quality (although not without critiques [e.g., 43,142,190]), as they allow researchers to compare the outcomes (e.g., test scores) of a group who received an intervention with a similar control group that did not [5,80]. When randomized assignment of participants to a treatment or control group makes experimental studies impossible or infeasible, as in state-level health policy research [e.g., 9]), researchers may use quasi-experimental methods (e.g., regression discontinuity analysis [160], difference-in-difference [9], propensity score matching, and instrumental variables [93,96]) to approximate the controls used in an experimental study.…”