Analyzing NAEP and TIMSS data using R has never been easier thanks to the EdSurvey package. Learn how on June 2, 2022 at the AERA 2022 Virtual Learning Series.
Emmanuel Sikali (NCES), Paul Bailey, Ting Zhang, Michael Lee, Sinan Yavuz, and Martin Hooper (American Institutes for Research) will introduce the unique design features of National Assessment of Educational Progress (NAEP) and Trends in International Mathematics and Science Study (TIMSS) data to researchers and provide guidance in data analysis strategies that they require, including the selection and use of appropriate plausible values, sampling weights, and variance estimation procedures (i.e., jackknife approaches). The course will provide participants with hands-on practice training in analyzing NAEP and TIMSS data using the R package EdSurvey, which was developed for analyzing national and international large-scale assessment data with complex psychometric and sampling designs. Participants will learn how to perform:
- data process and manipulation,
- descriptive statistics,
- cross tabulation and plausible value means, and
- linear and logistic regression.
A public-use NAEP file will be used as example data. The knowledge and analytical approach learned from this course can be applied to analyzing other large-scale national and international data with plausible values. This course is designed for individuals in government, universities, the private sector, and nonprofit organizations who are interested in learning how to analyze large-scale assessment data with plausible values. Participants should have at least basic knowledge of R software (e.g., took entry-level training on R programming) as well as statistical techniques including statistical inference and multiple regression. Having working knowledge of item response theory and sampling theory is preferred. Participants need to have a computer preloaded with the latest version of R and RStudio software to participate in the hands-on portion.
Register for this virtual course here.