Summer Internship: Research

Job Locations US-IA-Iowa City
Posted Date 1 month ago(1/4/2018 2:16 PM)
Job ID
# of Openings
No Travel Required


ACT is a nonprofit organization helping people achieve educational and workplace success.  Our programs are designed to boost lifelong learning in schools and workplaces around the world. Whether it's guiding students along their learning paths, enabling companies to develop their workforce, fostering parent, teacher, and counselor understanding of student progress, guiding job seekers toward career success, or informing policymakers about education and workforce issues. ACT is passionate about making a difference in all we do.


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Design an algorithm for creating an item pool subject to constraints on content specifications and limited overlap with previous pools. Existing pool assembly tools require multiple steps and iterations, depending on an evaluation of the initial assembled pool at various stages (e.g., comparing information bands with target bands, evaluating the overlap of current pool with previous pools, test reliability criteria, and 100% item usage). This project is intended to incorporate the additional requirements into the pool assembly and evaluation algorithms and tools. The success of the modified pool sampling algorithm is determined by simulation with previously defined delivery scripts and acceptance criteria. These refinements to the system will also improve the efficiency in which pools are assembled.


Typical work related activities include:

  • Literature review
  • Application of computer softwware
  • Some computer programming
  • Report results
  • Presentation at end of the internship


Educational requirements:  currently pursing a PhD in psychometrics, statistics, or educational measurement. 


Knowledge, Skills, and Abilities:

  • completed at least one research project involving data analysis
  • ability to demonstrate experience in mathematical skills, applied statistics and psychometric knowledge
  • knowledge of a computer programming language (e.g., SAS or R is preferred)
  • knowledge of adaptive testing
  • familiarity with psychometric software such as BILOG and Parscale is desired


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