Volume 55, Issue 2
Original Article

A Top‐Down Approach to Designing the Computerized Adaptive Multistage Test

Xiao Luo

National Council of State Boards of Nursing

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Doyoung Kim

National Council of State Boards of Nursing

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First published: 01 June 2018
Citations: 5

Abstract

The top‐down approach to designing a multistage test is relatively understudied in the literature and underused in research and practice. This study introduced a route‐based top‐down design approach that directly sets design parameters at the test level and utilizes the advanced automated test assembly algorithm seeking global optimality. The design process in this approach consists of five sub‐processes: (1) route mapping, (2) setting objectives, (3) setting constraints, (4) routing error control, and (5) test assembly. Results from a simulation study confirmed that the assembly, measurement and routing results of the top‐down design eclipsed those of the bottom‐up design. Additionally, the top‐down design approach provided unique insights into design decisions that could be used to refine the test. Regardless of these advantages, it is recommended applying both top‐down and bottom‐up approaches in a complementary manner in practice.

Number of times cited according to CrossRef: 5

  • A Recursion‐Based Analytical Approach to Evaluate the Performance of MST, Journal of Educational Measurement, 10.1111/jedm.12276, 0, 0, (2020).
  • Routing Strategies and Optimizing Design for Multistage Testing in International Large‐Scale Assessments, Journal of Educational Measurement, 10.1111/jedm.12206, 56, 1, (192-213), (2019).
  • Dynamic Multistage Testing: A Highly Efficient and Regulated Adaptive Testing Method, International Journal of Testing, 10.1080/15305058.2019.1621871, (1-21), (2019).
  • Automated Test Assembly with Mixed‐Integer Programming: The Effects of Modeling Approaches and Solvers, Journal of Educational Measurement, 10.1111/jedm.12262, 0, 0, (2019).
  • Automated Test Assembly Using SAS Operations Research Software in a Medical Licensing Examination, Applied Psychological Measurement, 10.1177/0146621619847169, (014662161984716), (2019).

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