Papers › Application and Simulation of Computerized Adaptive Tests Through the Package catsim
Application and Simulation of Computerized Adaptive Tests Through the Package catsim
Douglas De Rizzo Meneghetti, Plinio Thomaz Aquino Junior
The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.
This paper presents catsim, the first package written in the Python language specialized in computerized adaptive tests and the logistical models of Item Response Theory. catsim provides functions for generating item and examinee parameters, simulating tests and plotting results, as well as enabling end users to create new procedures for proficiency initialization, item selection, proficiency estimation and test stopping criteria. The simulator keeps a record of the items selected for each examinee as well as their answers and also enables the simulation of linear tests, in which all examinees answer the same items. The various components made available by catsim can also be used in the creation of third-party testing applications. Examples of such usages are also presented in this paper.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections