R&D Hub

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.

If you still have ideas for how to bring data mining and machine learning to your inclusion, diversity, equity, and accessibility (IDEA) research, there’s more time to submit!  The call for papers deadline has been extended to July 8.

As the 2022 cohort of NAEP doctoral interns begin their internships, we take a look at some of the research being conducted and presented by the 2021 cohort.  

It has been almost three years since Melanie Gonzalez completed the National Assessment of Educational Progress (NAEP) Doctoral Students Internship Program. As we get closer to welcoming our next cohort of doctoral-level interns for the summer, NAEP R&D has decided to catch up with one of the program’s alumni to see what she’s been up to and how her life has changed during and after the internship.

Analyzing NCES Data Using EdSurvey: A User's Guide is the first introductory manual dedicated to introducing the EdSurvey R package to the education research community. EdSurvey, an R statistical package, is a free resource tailored for processing and analyzing NCES large-scale education data, including NAEP.