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A Recursion‐Based Analytical Approach to Evaluate the Performance of MST
Author(s) -
Lim Hwanggyu,
Davey Tim,
Wells Craig S.
Publication year - 2020
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/jedm.12276
Subject(s) - recursion (computer science) , monte carlo method , computer science , algorithm , mathematical optimization , mathematics , statistics
This study proposed a recursion‐based analytical approach to assess measurement precision of ability estimation and classification accuracy in multistage adaptive tests (MSTs). A simulation study was conducted to compare the proposed recursion‐based analytical method with an analytical method proposed by Park, Kim, Chung, and Dodd and with the more commonly used Monte Carlo (MC) simulation approaches. The results from the simulation study indicate that the recursion‐based analytical method produced more stable measurement properties in MST than the MC‐based simulation method. It also produced more credible measurement performance than the analytical approach of Park, Kim, Chung, and Dodd. We expect that the recursion‐based analytical method would be especially efficient in instances when multiple MST designs need to be compared to determine which one has better measurement performance.