The National Council on Measurement in Education (NCME) and American Educational Research Association (AERA) Annual Meetings are taking place in Chicago on April 12–15 and 13–16, respectively. In this post, we put the spotlight on the NAEP Doctoral Internship alumni who will have a presence either virtually or in person as presenters or participants at the NCME and AERA Annual Meetings this year.  We are proud of their contributions to education research and involvement as members of the NAEP R&D program community.

Conferences are coming up; this year, the National Council on Measurement in Education (NCME) and American Educational Research Association (AERA) Annual Meetings are taking place in Chicago on April 12–15 and 13–16, respectively. The NAEP Research and Development team has been busy working on presentations and trainings for these conferences, and we’re excited to offer an opportunity to dive deeper into the EdSurvey and Dire R packages at NCME on Wednesday, March 28, with “Tools For Analyzing NAEP and TIMSS Data in R Using Latent Regression.” This session will be presented by Dr. Emmanuel Sikali, Acting Branch Chief for Reporting and Dissemination at the National Center for Education Statistics (NCES), and NAEP researchers from the American Institutes for Research (AIR).

At NAEP Day 2022 this past Monday, October 24, the National Assessment Governing Board (NAGB) and the National Center for Education Statistics (NCES) presented the 2022 NAEP Mathematics and Reading results, providing the most comprehensive picture to date of the pandemic’s impact on student achievement. 

NAEP researchers Paul Bailey and Ting Zhang and NCES Acting Branch Chief of Reporting and Dissemination Emmanuel Sikali presented a one-day course on Analyzing NAEP and TIMSS Data with Direct Estimation Using the R Packages EdSurvey and Dire at the 2022 IMPS Conference in Bologna, Italy.

Modules on how to use the EdSurvey R package to analyze various NCES data have been added to NCES’s Distance Learning Dataset Training (DLDT) system. The DLDT is an interactive web tool that allows data users to learn about NCES data products and to appraise their usefulness for various purposes.