Summer Internship: Validity & Efficacy Research

Job Locations US-IA-Iowa City
Posted Date 4 weeks ago(1/22/2018 9:02 AM)
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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This study examines the utility of current and alternative definitions of underserved learners for identifying at-risk students. Currently, ACT classifies students from low-income families, students from under-represented minority groups, and first generation students as an underserved learner. Students need only to meet one of the three criteria to be classified as an underserved learner. This study will investigate the degree to which college readiness and postsecondary enrollment varies by the various combinations of underserved criteria (e.g., first-generation students vs. low-income, minority students) in order to understand if all students currently identified as “underserved” face the same challenges when it comes to college readiness and success. This study will also examine several alternative definitions of underserved learners.


Typical job-related activities include:

  • Programming in SAS (Base & Stat)
  • Working with relational databases
  • Performing statistical analyses such as descriptive statistics and regression modelling
  • Conducting a review of the literature on the topic
  • Participating in regular meetings with supervisor
  • Writing reports
  • Delivering presentations.


Applicants must be currently enrolled and actively pursuing a Master’s or Ph.D. degree in Educational Measurement, Statistics, Quantitative Psychology, or related programs. Experience using SAS is required. Knowledge of hierarchical modelling methods is preferred.  Interested candidates should submit both a cover letter and resume with their application.


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