“…Few previous studies have developed statistical models to investigate and predict school choice for specialty schools using rank-ordered models. Previous studies employed descriptive statistics (Archbald, 2004;Goldring & Haussman, 1999;Hausman & Goldring, 2000;Zimmerman & Vaughan, 2013), binary logit regressions (Kelleher, Smyth, & McEldowney, 2016), linear regressions (Davis, 2014;Exley, 2009;Henig, 1990), and other logit models (Burgess et al, 2014;Dixon & Humble, 2017;Glazerman, 1998;Lee Lauen, 2009). Compared with standard widely used methods, such as CLM and MNL, ROL models generate smaller standard errors and hence greater accuracy in the estimations.…”