The winter 2019 NAEP Training Workshop will take place on January 10 -12 in Washington, DC. This workshop is for quantitative researchers with strong statistical skills who want to learn to conduct data analysis using NAEP data. The training is aimed at advanced graduate students, educational researchers at universities or other research organizations, analysts from state and local education agencies, and those interested in analyzing large-scale assessment data. The training will introduce the unique design features of NAEP and provide guidance and practice in the data analysis strategies required when using NAEP data.
The training will provide participants with hands-on practice in analyzing NAEP data files using the R program. During the training, participants will:
A draft agenda for the training can be found here.
The training will be held on January 10 -12, in Washington, DC. Accepted applicants will be sent logistical details and materials.
There is no fee to attend. NCES will provide the training materials and the computers, software, and data for the hands-on training. NCES will also pay for transportation to Washington, DC,1 hotel accommodations, and a fixed per diem for meals and incidental expenses during the training. Accepted applicants are expected to attend all sessions and be on time; financial support will be dependent on applicants' attending and completing the training.
1For international applicants only, financial support for transportation is capped at $500.
Applicants should have a solid understanding of basic statistics and some topics in advanced statistics, such as procedures for analyzing complex survey data, and some familiarity with measurement theory, including item response theory. Participants should have some knowledge of performing statistical analysis in software packages such as R, SAS, or STATA. Please note, the training workshop will only utilize R.
Application Period: Opens November 5 and closes December 3.
Notifications to Accepted Applicants will be sent no later than December 12.
If you are interested in applying to the training program, please click on the links below.
Applicants will be evaluated on the following criteria: