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NAEP Analysis and ScalingEstimation of NAEP Score ScalesNAEP Assessment IRT ParametersMathematics Assessment IRT Parameters → IRT Parameters for Items in the Data Analysis, Statistics, and Probability Subscale, Grade 12 Mathematics National Assessment, by Item and Block: 2015

NAEP Technical DocumentationIRT Parameters for Items in the Data Analysis, Statistics, and Probability Subscale, Grade 12 Mathematics National Assessment, by Item and Block: 2015

IRT parameters for items in the data analysis, statistics, and probability subscale, grade 12 mathematics national assessment, by item and block: 2015
BlockItemNAEP ID aj bj cj dj1 dj2 dj3 dj4
M1
2M1887010.91-0.320.19
4M1824011.821.300.19
12M1867CL0.36-0.38-0.221.47-0.72-0.53
14M1759010.783.000.63-0.63
M2
2M3056010.82-0.420.19
4M3067010.410.710.07-0.07
8M3049011.03-0.050.16
12M3017011.131.050.14
M3
3M1972010.52-0.600.17
13M1954010.14-0.330.20
M4
2M1842CL0.78-1.331.00-1.00
3M1843CL0.891.290.14-0.14
4M1842070.601.66-0.600.60
9M1791010.710.010.19
M5
1M1830011.04-0.610.21
5M1832010.770.600.17
10M1881011.010.020.28
M6
2M1981010.89-0.060.14
8M1756010.56-0.30-1.061.06
11M1772010.960.170.16
12M1772020.941.13
M7
1M3092011.29-0.450.18
6M3079010.65-0.790.19
10M3082011.201.110.13
13M3100010.580.160.49-0.500.01
M8
5M1893011.430.190.25
8M1895010.610.710.18
10M1871011.250.470.24
12M1786011.380.330.11
M9
3M1987010.850.25
4M1776010.540.980.16
7M1819010.980.340.15
11M1936011.35-0.340.11
M10
2M1896010.99-0.210.18
4M1942010.82-0.260.16
5M1784011.15-0.240.12
M11
5M1812010.64-0.73
6M1812021.230.691.64-1.64
7M1812030.503.20
M12
4M1753010.94-0.190.15
5M1999010.750.300.17
M13
3M3027010.430.22-6.256.25
5M3041010.86-0.250.17
11M3047010.691.640.15
M14
6M3102011.401.610.06
8M3105010.460.63-5.355.35
11M3109010.612.000.18
12M3111CL0.801.970.241.42-3.501.83
† Not applicable; c parameters are not estimated for the two-parameter logistic model or generalized partial credit models, and d parameters are not estimated for two-parameter or three-parameter logistic models.
NOTE: For item j, aj represents the discriminatory power of the item, bj represents a location parameter related to item difficulty, cj represents the guessing parameter, and dji represents the category threshold parameter for category i. The c parameter value is assumed to be exactly zero and is not estimated for items scaled with the two-parameter logistic model. For item j, dji may not sum to zero because of rounding.
SOURCE: U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2015 Mathematics Assessment.

Last updated 17 November 2021 (ML)