A simulated Multistage-Adaptive Test (MST) dataset representing a 1-3-3 panel structure, assembled using module-level target test information functions (TIFs) and design constraints similar to those used in the simulation study by Lim et al. (2021).
Format
A list containing five internal objects:
- item_bank
A data frame of item metadata for the 56 items assigned to the panel (one row per item; columns follow the irtQ item metadata format:
id,cats,model,par.1,par.2,par.3).- module
A binary matrix that maps items in the item bank to MST modules. This structure specifies the item-to-module assignment, similar to the
modulesargument in therandomMST()function from the mstR package (Magis et al., 2017).- route_map
A binary square matrix that defines the MST transition structure, showing module pathways across stages. This corresponds to the
transMatrixargument in therandomMST()function in the mstR package.- cut_score
A list of numeric vectors specifying the routing cut scores between MST stages, computed via
find_cut()based on TIF-crossing points of the assembled modules.- theta
A numeric vector of ability (theta) values used to evaluate the panel's measurement precision across the latent trait continuum.
This 1-3-3 MST panel includes 7 modules across 3 stages, drawn from 56 unique items (8 per module) with no item shared across modules. Each module contains 8 dichotomously scored items calibrated under the IRT 3-parameter logistic (3PL) model.
References
Magis, D., Yan, D., & von Davier, A. A. (2017). Computerized adaptive and multistage testing with R: Using packages catR and mstR. Springer.
Lim, H., Davey, T., & Wells, C. S. (2021). A recursion-based analytical approach to evaluate the performance of MST. Journal of Educational Measurement, 58(2), 154–178.
Author
Hwanggyu Lim hglim83@gmail.com