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NAEP Analysis and Scaling → Scale Linking and Transformation to the Reporting Metric → Comparisons of Distributions of Linking Samples for NAEP Assessments → Comparison of Means and Percentiles of 2007 Scores and 2007 Transformed Provisional Scores, Grade 12 Mathematics National Main Assessment, by Scale: 2009

Original estimates are based on previous assessment data and previous assessment scaling results, transformed to the reporting metric using the transformation identified during the analysis of the previous assessment data. Provisional estimates are based on previous assessment data and current assessment scaling results. These are on the theta metric specified by the scaling program. The original and provisional estimates for the linking sample are used to find the transformation constants necessary to place the current assessment scale scores on the scale used to report previous assessment scale scores. The transformed provisional estimates are based on previous assessment data and current assessment scaling results, transformed to the reporting metric using the transformation constants calculated from the original and provisional estimates for the linking sample. If the transformation constants are correct, the original and transformed provisional means should be the same.

NAEP Technical DocumentationComparison of means and percentiles of 2007 scores and 2007 transformed provisional scores, grade 12 mathematics national main assessment, by scale: 2009
Scale Statistic Original 2007 estimate 2007- transformed provisional estimate Difference between the provisional estimate and the original estimate
# Rounds to zero.
1 For grade 12, measurement and geometry were combined.
SOURCE: U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2009 Mathematics Assessment.
Composite scale Mean 150.00 150.00 #
10th percentile 105.29 104.93 0.36
25th percentile 126.54 126.56 -0.02
50th percentile 150.68 150.71 -0.03
75th percentile 173.93 174.24 -0.31
90th percentile 193.96 193.87 0.09
Number sense, properties, and operations Mean 150.00 150.00 #
10th percentile 103.99 103.74 0.25
25th percentile 126.37 126.69 -0.32
50th percentile 151.49 151.80 -0.31
75th percentile 174.72 175.18 -0.46
90th percentile 193.87 193.83 0.04
Measurement & Geometry1 Mean 150.00 150.00 #
10th percentile 103.90 103.46 0.44
25th percentile 126.24 126.24 #
50th percentile 151.04 151.34 -0.30
75th percentile 174.85 175.08 -0.23
90th percentile 194.59 194.43 0.16
Data analysis, statistics, and probability Mean 150.00 150.00 #
10th percentile 104.13 104.05 0.08
25th percentile 126.23 126.41 -0.18
50th percentile 150.82 151.04 -0.22
75th percentile 174.22 174.60 -0.38
90th percentile 194.80 194.38 0.42
Algebra and functions Mean 150.00 150.00 #
10th percentile 104.52 104.55 -0.03
25th percentile 125.40 125.18 0.22
50th percentile 149.95 149.75 0.20
75th percentile 174.55 174.84 -0.29
90th percentile 196.17 195.99 0.18

Last updated 08 January 2016 (GF)