11.010 - PDC01: Analyzing NAEP Assessment Data Using R

Session Type: Professional Development Course

Abstract

The primary purpose of this course is to introduce participants to the available functionality of an R package called “edsurvey” that is tailored for the process and analysis of large-scale assessment data, and to teach participants how to analyze National Assessment of Educational Progress (NAEP), or NAEP-like, data with appropriate procedures using the R package that is available for free download. The course will begin by familiarizing participants with the psychometric and sampling design of NAEP — essential knowledge in understanding and analyzing NAEP data. Afterward, the course will focus on providing hands-on practice using the R package “edsurvey”. 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, especially NAEP or NAEP-like data. Participants should have at least a basic knowledge of R software (e.g., from an entry level training on R programming) as well as statistical techniques including statistical inference and multiple regression. Working knowledge of Item Response Theory and sampling theory is preferred. Participants need to bring a laptop preloaded with the latest version of the R software to participate in the hands-on portion.

Sub Unit

• Professional Development and Training Committee

Instructors

• Emmanuel Sikali, U.S. Department of Education

• Paul Dean Bailey, American Institutes for Research

• Lauren Harrell, N/A

• Ting Zhang, American Institutes for Research