
These studies aim to investigate advantages and disadvantages of item-level computerized adaptive testing (item-level CAT) and multistage adaptive testing (MST). The factors to be considered include efficiency of the test, accuracy of ability estimation, content balancing, exposure control, robustness of calibration, desirable item pool construction, and so on.
Typical job activities include: (a) writing programs and conducting simulation studies, (b) summarizing the results, (C) revising the programs and redoing simulation studies if necessary, (d) writing up research reports, and (e) presenting the outcome of the research.
Candidates must be doctoral students who have been enrolled in educational measurement, statistics, quantitative psychology, or related programs for at least two years. Knowledge and research experiences in IRT, computer programming skills in R, and good writing skills are required. Finalist(s) for this position will be subject to a pre-employment criminal background check as a condition of employment.
Please see Internship Program Guidelines for more information and the full list of qualifications: http://www.act.org/humanresources/jobs/intern.html