For this study, we examined the constructs of time, student groupings, and professional staffing in schools and determined their significance in whether or not schools made Adequate Yearly Progress or were required mandatory improvement. We conducted a logistical regression analysis using a national data set, the School and Staffing Survey (2007-2008). We explored 15 predictor variables and found 10 variables had either positive or negative significance: longer school day, earlier start time, block scheduling, traditional and non-traditional departments, subdivided grades, looping, multi-age grouping, reading coaches, mathematics coaches, and science coaches.