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.
This open-access article uses the 2019 NAEP High School Transcript Study (HSTS) to contextualize the many capabilities of the EdSurvey R package and demonstrate how users can “download, explore variables in, extract data from, and run analyses on large-scale assessment data.” The authors provide a comprehensive introduction to EdSurvey, outlining its functions and tools, comparing it to other available software, and offering an overview of the statistical methods used in large-scale assessment research. The article also includes demonstrations of these methods in EdSurvey. Read the article for yourself to gain valuable insight into EdSurvey, a critical tool for any researcher working with large-scale educational assessment data.
The article provides many useful examples of EdSurvey functions using real-world HSTS data, which will be especially interesting to those who have participated in our NAEP HSTS Data Training. Stay tuned and subscribe to our mailing list to find out when new data training opportunities become available. Applications are now open for the NAEP Doctoral Student Internship Program, offering a paid summer internship opportunity for those interested in exploring large-scale assessment data and engaging in methodological developments and secondary analysis using NAEP data, including with the EdSurvey R package.