This report is part of a series of analyses of publicly available North Carolina Department of Public Instruction student achievement data, known as the disaggregated data files. These FERPA-compliant files contain data on all the state’s public traditional and charter schools beginning in school year 2013-14. My intent in this series is to provide the public with discussions of the usefulness of the NCDPI data, and with descriptive statistics that I feel may be of interest. I will not perform modeling or hypothesis testing.
NCDPI publicly available data includes the percentage of grade 3, 4 and 5 students, by race (subgroup), achieving Grade Level Proficiency (GLP) and Career and College Ready (CCR) scores in standardized End of Grade tests. These tests score students into five Levels, from Level 1 as the lowest scores to Level 5 as the highest. Students scoring into Level 3 or above are designated GLP, while those scoring into Levels 4 or 5 are CCR. This means that the GLP student count will contain the CCR count, and thus will be greater than the CCR count. For instance, 30% of students might score into GLP, and perhaps 25% score into CCR. Somewhat confusingly, GLP will still be 30% and CCR will be 25%, which leaves 5% in Level 3. This, in effect, counts CCR students twice but it does make it convenient to talk about the percentage of GLP students without having to break that up into pieces. The NCDPI publicly available data does not identify AIG students by race, so any comparisons of numbers of students in CCR by race with those in AIG must be by imputation, not directly.
Seeking changes in the aggregate, such as in the average over all schools, masks the marked variations between schools.
In order to provide a context, Figure 1 shows the statewide average percentage GLP, CCR, and Level 5 for 2018-19 by race (subgroup) by grade. Grade 8 is included for reference but is not the subject of this report.
In Figure 1, the percentage is that of the particular group of students. That is, if Asian shows 60% in grade 3 for the GLP category, then sixty percent of all the Asian students in grade 3 are GLP.
Figure 2 shows End of Grade percent CCR (the highest achieving students) by race by grade for each CHCCS school for 2018-19. This figure responds to the question, “Does student achievement vary from grade to grade?” These plots compare percentage CCR within each race, for each elementary school. While the percentage CCR “is what it is” for each school, the reliability of this percentage depends on the number of students of each race. It is misleading to compare a percentage CCR for two hundred students against one for twenty students because, in the likely scenario of a shift in just one or two students into or out of the CCR scoring range, the percentage CCR for the larger group would change hardly at all, while the percentage CCR for the smaller group might change considerably. The plot indicates this by having error bars. The larger the spread in the error bars, the smaller the number of students of that race for that school. When the error bars overlap, percent CCR cannot be considered significantly different. For instance, for Northside (681300) Asian students’ grade 3 and grade 5 percent CCR are not significantly different.
This plot is for 2018-19, and would look different in the details for other years. By way of summary, it is evident that even for the schools that presented challenges for the other races, White students do well. Also, the average percentage CCR over all schools for students of each race, shown in the far right of each plot as school 681LEA, is not very helpful as it obscures the variations among schools.
The report on CHCCS AIG students, part of this series, contains information that I will use here. It demonstrates that Seawell (681310) consistently has a high percentage of AIG students in grades 4 and 5. Northside (681300) provides a contrasting picture and has a consistently low percentage of AIG students. Of course, AIG classification should strongly relate to percent CCR.
Public Schools of North Carolina Statistical Profile Table 10.1 which can be reached from here.
Figure 2 says nothing about the proportion of students by race at any school. The year by year racial composition of the CHCCS elementary schools is shown in Figure 3. In 2018-19 students reported as Asian, Black, Hispanic, White, and Multiracial. The increasing number of multiracial students suggests further explorarion of their role in the traditionally single-race construction of race.
Figures 4 present a greater level of detail than was in Figure 2. These plots show percentage CCR data by race by school for three years, 2016-17, 2017-18, and 2018-19. Foremost, they show the year to year variability of achievement scores. The extent of this variability mitigates against over-interpreting change from a preceding year, and also raises concerns about the use of school or system-wide averages for policy decisions. I discuss this further in two other reports in this series, Overview and Position Statement.