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How we estimate percentiles

A clear explanation of the data and the method, so you can judge how much weight to give the numbers.

What the data is

Every number here comes from official public test-results files: the NC DPI assessment data (End-of-Grade tests: ELA and Math in grades 3-8, Science in grades 5 and 8). These files report, for each school / grade / year:

Grade 8 Math is different. Students who took NC Math 1 during or before grade 8 do not take the Grade 8 Math test; North Carolina counts their Math 1 result as their grade 8 math score. So the grade 8 Math percentages cover every eighth grader, with the Math 1 students counted by their Math 1 level, and because two tests are mixed North Carolina publishes no average score for it. For that one test we estimate the group’s mean from its level percentages: we find the bell curve whose share of students below each level’s cut score matches the published percentages. Checked on every North Carolina group that does publish an average, this lands a median of about 1.6% of the score range from the real number.

Important: the public data does not contain individual student scores, only these group summaries. So no tool can compute a true rank of one child against every other child. What we provide is a well-grounded estimate.

How the percentile is estimated

North Carolina publishes the exact scale-score range for each performance level (e.g. for Grade 3 Math, Level 3 “Proficient” is 545-550). Given your child's score, we:

  1. identify which performance level the score falls in;
  2. count everyone in the lower levels as scoring below;
  3. within the score's own level, spread that level's students along the group's fitted curve (below) rather than evenly across the level's range. Students bunch up toward the middle of the scale, so an even spread would put too many of them out at the far ends of the lowest and highest levels. Checked against published statewide score distributions, this lands within about one percentile point of the true value for a typical score.

That gives the percentile: the estimated share of students in the group who scored at or below the entered score.

About the smooth curve

The bell-like curve on each chart is a truncated-normal distribution fitted so that its area within each performance level matches the converted counts, anchored to the group’s real reported mean (or, for grade 8 Math, the estimated mean described above). It's there to visualize the shape of the group's scores. The level counts set the headline percentile (steps above); the curve only decides where inside the student's own level the line falls.

When a group's students all sit in one or two levels, the counts can't say how spread out their scores are, and the fitted curve can come out far too narrow. Those curves are drawn no narrower than one fifth of the statewide spread, which is about the size of the test's own measurement error, and inside the student's level the percentile spreads that level's students evenly instead.

Why estimates are still useful: the performance-level percentages and (outside grade 8 Math) the mean score are real, reported figures; converting percentages to counts (percentage × number tested) is arithmetic, not a model. The only genuine assumption is how scores are distributed inside a level, a small and bounded range. Across a whole school, district, or the state, that assumption averages out well, so the comparison ("above/below average here vs. statewide") is reliable even though the exact percentile is approximate.

Limitations to keep in mind

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