Page Title:
Keywords:
Description:
Skip to main content
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 2009 Scores and 2009 Transformed Provisional Scores, Grade 4 Mathematics Combined National and State Assessments, By Scale: 2011

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 2009 scores and 2009 transformed provisional scores, grade 4 mathematics combined national and state assessments, by scale: 2011
Scale Statistics Original 2009 estimate 2009-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), 2011 Mathematics Assessment.
Composite scale Mean 239.67 239.67 #
10th percentile 202.05 200.44 -1.61
25th percentile 221.25 220.38 -0.87
50th percentile 241.19 241.28 0.09
75th percentile 259.67 260.51 0.84
90th percentile 275.15 276.50 1.35
Number sense, properties, and operations Mean 238.27 238.27 #
10th percentile 196.58 196.39 -0.19
25th percentile 218.05 217.65 -0.40
50th percentile 240.10 239.97 -0.13
75th percentile 260.48 260.55 0.07
90th percentile 277.40 277.64 0.24
Measurement Mean 238.36 238.36 #
10th percentile 193.23 192.64 -0.59
25th percentile 216.27 215.93 -0.34
50th percentile 240.38 240.23 -0.15
75th percentile 262.36 262.59 0.23
90th percentile 280.92 281.27 0.35
Geometry and spatial sense Mean 238.76 238.76 #
10th percentile 205.51 205.01 -0.50
25th percentile 222.08 221.79 -0.29
50th percentile 239.54 239.61 0.07
75th percentile 256.38 256.63 0.25
90th percentile 271.12 271.34 0.22
Data analysis, statistics, and probability Mean 242.66 242.66 #
10th percentile 203.83 203.26 -0.57
25th percentile 223.72 223.22 -0.50
50th percentile 244.10 244.29 0.19
75th percentile 263.16 263.56 0.40
90th percentile 279.60 279.79 0.19
Algebra and functions Mean 244.07 244.07 #
10th percentile 209.35 208.84 -0.51
25th percentile 227.02 226.92 -0.10
50th percentile 245.33 245.59 0.26
75th percentile 262.48 262.76 0.28
90th percentile 277.14 277.17 0.03

Last updated 08 January 2016 (GF)