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NAEP Analysis and Scaling → Estimation of NAEP Score Scales → NAEP Assessment IRT Parameters → Mathematics Assessment IRT Parameters → IRT Parameters for Items in the Data Analysis, Statistics, and Probability Subscale, Grade 8 Mathematics Combined National and State Assessment, by Block and Item: 2017

NAEP Technical DocumentationIRT Parameters for Items in the Data Analysis, Statistics, and Probability Subscale, Grade 8 Mathematics Combined National and State Assessment, by Block and Item: 2017

IRT parameters for items in the data analysis, statistics, and probability subscale, grade 8 mathematics combined national and state assessment, by block and item: 2017
Block	Item	NAEP ID	a_j	b_j	c_j	d_j1	d_j2	d_j3	d_j4
M1	6	M385601	0.67	0.82	†	†	†	†	†
	10	M384402	0.68	0.46	†	†	†	†	†
	15	M3827MS	0.60	2.25	†	-0.37	0.37	†	†
M2	11	M3801MS	0.42	0.65	†	†	†	†	†
M3	2	M3806MS	0.49	-3.62	†	†	†	†	†
	13	M3859CL	0.47	1.18	†	0.94	0.07	-1.75	0.74
	14	M3817MS	0.33	1.23	†	-1.18	1.18	†	†
M4	8	M349701	0.87	1.01	0.21	†	†	†	†
	14	M352201	0.73	0.25	0.13	†	†	†	†
	16	M349401	1.05	1.28	0.16	†	†	†	†
	18	M222201	0.65	1.61	0.15	†	†	†	†
M5	6	M222901	1.14	0.17	0.12	†	†	†	†
	10	M223301	0.46	1.27	†	0.09	-0.09	†	†
	13	M223601	1.11	0.81	0.15	†	†	†	†
	21	M152301	0.34	2.19	0.10	†	†	†	†
M6	8	M171101	1.26	0.53	0.11	†	†	†	†
	12	M151801	0.68	-0.61	0.22	†	†	†	†
	15	M167901	0.58	1.69	†	-1.04	1.04	†	†
M7	8	M236201	0.86	-0.69	0.11	†	†	†	†
	11	M231501	0.56	0.75	†	†	†	†	†
	16	M221901	0.83	0.91	0.22	†	†	†	†
M8	2	M388300	0.95	-0.14	†	1.87	-1.87	†	†
M8	5	M386901	1.30	0.55	0.17	†	†	†	†
M9	5	M354801	1.67	0.58	0.06	†	†	†	†
	14	M357101	1.31	0.87	0.10	†	†	†	†
	18	M351301	1.30	0.92	0.15	†	†	†	†
M10	3	M235301	0.95	1.10	0.24	†	†	†	†
	11	M236801	1.22	0.58	0.27	†	†	†	†
	14	M351001	0.56	0.10	0.14	†	†	†	†
	19	M239001	1.16	-0.56	†	0.70	-0.70	†	†
† 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), 2017 Mathematics Assessment.

Last updated 11 May 2022 (SK)

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