The National Assessment of Educational Progress (NAEP), often referred to as The Nation's Report Card, offers a window into the state of U.S. K-12 education system. Since 2017, NAEP has transitioned to digital assessments, opening new research opportunities that were previously impossible. Process data tracks students' interactions with the…

In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…

In large-scale educational assessment data consistent with a simple-structure multidimensional item response theory (MIRT) model, where every item measures only one latent variable, separate unidimensional item response theory (UIRT) models for each latent variable are often calibrated for practical reasons. While this approach can be valid for…

Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…

In 2018, the National Center for Education Statistics (NCES) administered two assessments--the National Assessment of Educational Progress (NAEP) Technology and Engineering Literacy (TEL) assessment and the International Computer and Information Literacy Study (ICILS)--to two separate nationally representative samples of 8th-grade students in the…

The National Assessment of Educational Progress (NAEP) -- often called "The Nation's Report Card" -- is the largest nationally representative and continuing assessment of what students in public and private schools in the United States know and can do in various subjects and has provided policy makers and the public with invaluable…

The National Assessment of Educational Progress's (NAEP's) transition to an entirely digitally based assessment (DBA) began in 2017. As part of this transition, new types of NAEP items have begun to be developed that leverage the DBA environment to measure a wider range of knowledge and skills. These new item types include the science…

This paper provides the National Center for Education Statistics (NCES), National Assessment Governing Board (NAGB), and the National Assessment of Educational Progress (NAEP) community with information that may help maintain the validity and utility of the NAEP assessments for civics and U.S. history as revisions are planned to the NAEP…

This document provides an overview of the National Assessment of Educational Progress (NAEP). NAEP is the largest nationally representative and continuing assessment of what students in the United States know and can do in various subjects. NAEP serves a different role than state assessments. States have their own unique assessments which are…

Due to the growing importance of technology and engineering in the educational landscape, and to support America's ability to contribute to and compete in a global economy, the National Assessment Governing Board (NAGB) initiated development of the first NAEP Technology and Engineering Literacy (TEL) Assessment. Relating to national efforts in…

This paper proposes a new Information-Time index as the basis for item selection in computerized classification testing (CCT) and investigates how this new item selection algorithm can help improve test efficiency for item pools with mixed item types. It also investigates how practical constraints such as item exposure rate control, test…

Large-scale testing is dominated by the multiple-choice question format. Widespread use of the format is due, in part, to the ease with which multiple-choice items can be scored automatically. This paper examines automatic scoring procedures for an alternative item type: figural response. Figural response items call for the completion or…

This Monte Carlo study examined the effect of complex sampling of items on the measurement of differential item functioning (DIF) using the Mantel-Haenszel procedure. Data were generated using a three-parameter logistic item response theory model according to the balanced incomplete block (BIB) design used in the National Assessment of Educational…