R&D Hub

The NAEP R&D team is ringing in the new year by sharing a new journal article from NAEP researchers that will serve as a useful resource for those looking to learn more about analyzing NCES datasets like NAEP’s. NAEP researchers Ting Zhang, Paul Bailey, and Yuqi Liao, along with acting chief of NCES's Reporting and Dissemination branch Emmanuel Sikali, recently published their article “EdSurvey: An R package to analyze large-scale educational assessments data from NCES” in Large-scale Assessments in Education.

The NAEP research community was hard at work in 2024 exploring new ways to deepen our understanding of student academic achievement and assessment in the United States. We here at the NAEP R&D Hub have shared it all along the way, highlighting the work of innovative researchers (especially in emergent fields such as AI), disseminating news about new and improved tools for researchers, and bringing awareness to relevant conference opportunities and presentations. As we enjoy the holiday season and look forward to a new year and new NAEP internship opportunities, we’d like to look back on some of the NAEP R&D Hub highlights of 2024.

This holiday season, we’re thankful for all of the data tools and resources from the National Assessment of Educational Progress (NAEP) that help us visualize, understand, and interpret NAEP data. Take a look at some examples and get started working with NAEP data!

EdSurvey 3.0 is now available on CRAN-R. This latest update provides education researchers with the ability to tap into three new powerful functions that utilize cutting-edge techniques to leverage complex statistical analysis of large-scale assessment data.

Using new data from large-scale assessments such as NAEP and TIMSS is difficult because simply merging the data and using the well-known plausible value and survey methodology will yield biased results. To help researchers with this problem, the EdSurvey product development team recently published a new version of Dire, an R package intended to complement its primary statistical software application.