NAEP Doctoral Student Internship - Summer 2021

The mission of the NAEP doctoral student internship program is to advance and encourage secondary analysis and methodological developments using data from the National Assessment of Educational Progress (NAEP). During the 10-week internship program, interns will work directly with researchers from the National Center for Education Statistics (NCES) and American Institutes for Research (AIR) on research in one of four topic areas: Psychometrics & Statistical Methods, Process Data, Policy-Relevant Research, and Re-envisioning Quantitative Information (Data Visualization). 

Internship details

  • 10 weeks starting June 1, 2021
  • Considering the uncertainty of COVID-19, the NAEP Doctoral Student Internship Program will be virtual to ensure the safety of our interns and staff. That means that interns will be working from their remote locations and will receive an AIR issued laptop to complete project work.
  • Paid Internship (Up to $12,000 for 10 weeks)

Application Process

  • Apply online
  • Deadline: December 18, 2020
  • Notification date: late-January 2021

Responsibilities

The Doctoral Student Interns will contribute to the development of statistical methods and substantive knowledge about education that inform the discussion, debate, and planning of decision-makers at national, state, and local levels who are contracted with the National Center for Education Statistics. The goal of the internship program is to advance and encourage secondary analysis and methodological developments using data from NAEP. Specific research topics and project assignments in a primary and secondary area will be based on a consideration of applicants’ skills and interests, and NCES’s priorities. Example opportunities include presentations to the NCES client and proposal submissions to research conferences.

Qualifications

Current Doctoral student in educational measurement, statistics, information sciences, sociology, psychology, economics, computer science, or related field.

  • Two years of coursework in a Ph.D. program or a Master’s degree completed in a relevant field.
  • Strong organizational and interpersonal skills.
  • Experience with applying advanced statistical and/or psychometric methods
  • Sophisticated experience with statistical software packages such as Stata, R, or Mplus.
  • Knowledge of Item Response Theory and/or sampling theory.
  • Experience analyzing data from large-scale surveys and assessment data with complex sampling design is a plus.
  • For Data Visualization applicants, advanced experience with statistical software such as, but not limited to D3.js, Nivo, Python, R, React-Vis, Shiny, Tableau

Additional application requirements

  • Two years of coursework in a Ph.D. program or a Master’s degree completed in a relevant field.
  • Strong organizational and interpersonal skills.
  • Experience with applying advanced statistical and/or psychometric methods
  • Sophisticated experience with statistical software packages such as Stata, R, or Mplus.
  • Knowledge of Item Response Theory and/or sampling theory.
  • Experience analyzing data from large-scale surveys and assessment data with complex sampling design is a plus.
  • For Data Visualization applicants, advanced experience with statistical software such as, but not limited to D3.js, Nivo, Python, R, React-Vis, Shiny, Tableau
  • A cover letter to express applicant’s interest and qualifications for a primary and secondary area.
  • A transcript (unofficial copy), writing sample as first author, and a letter of recommendation may be requested at a later date.
  • Candidates should expect to demonstrate their stated coding and analytical skills during the selection process.

Click here for more information on how to apply.