Page Title:
Keywords:
Description:
Skip to main content
Skip Navigation
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 8 Mathematics Combined National and State 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 8 mathematics combined national and state 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.
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 281.35 281.35 #
10th percentile 234.66 232.98 1.68
25th percentile 257.85 256.71 1.14
50th percentile 282.61 282.45 0.16
75th percentile 306.32 307.22 -0.90
90th percentile 326.60 328.42 -1.82
Number sense, properties, and operations Mean 279.31 279.31 #
10th percentile 231.69 231.60 0.09
25th percentile 256.16 255.22 0.94
50th percentile 281.28 280.77 0.51
75th percentile 304.65 304.84 -0.19
90th percentile 324.44 325.24 -0.80
Measurement Mean 277.80 277.80 #
10th percentile 216.17 215.86 0.31
25th percentile 247.48 246.40 1.08
50th percentile 279.99 279.33 0.66
75th percentile 310.61 310.90 -0.29
90th percentile 336.92 337.86 -0.94
Geometry and spatial sense Mean 277.71 277.71 #
10th percentile 234.12 234.01 0.11
25th percentile 256.11 255.43 0.68
50th percentile 279.07 278.54 0.53
75th percentile 300.79 300.86 -0.07
90th percentile 319.68 320.39 -0.71
Data analysis, statistics, and probability Mean 284.73 284.73 #
10th percentile 231.39 231.18 0.21
25th percentile 258.52 257.72 0.80
50th percentile 286.74 286.24 0.50
75th percentile 313.11 313.28 -0.17
90th percentile 335.66 336.41 -0.75
Algebra and functions Mean 285.20 285.20 #
10th percentile 238.74 238.68 0.06
25th percentile 261.73 261.19 0.54
50th percentile 286.21 285.84 0.37
75th percentile 310.05 310.23 -0.18
90th percentile 330.76 331.30 -0.54

Last updated 08 January 2016 (GF)