標題: A sampling and classification item selection approach with content balancing
作者: Chen, Pei-Hua
交大名義發表
National Chiao Tung University
關鍵字: Automated test assembly;Multiple forms;Sampling and classification method;Flexible content balancing
公開日期: 1-Mar-2015
摘要: Existing automated test assembly methods typically employ constrained combinatorial optimization. Constructing forms sequentially based on an optimization approach usually results in unparallel forms and requires heuristic modifications. Methods based on a random search approach have the major advantage of producing parallel forms sequentially without further adjustment. This study incorporated a flexible content-balancing element into the statistical perspective item selection method of the cell-only method (Chen et al. in Educational and Psychological Measurement, 72(6), 933-953, 2012). The new method was compared with a sequential interitem distance weighted deviation model (IID WDM) (Swanson & Stocking in Applied Psychological Measurement, 17(2), 151-166, 1993), a simultaneous IID WDM, and a big-shadow-test mixed integer programming (BST MIP) method to construct multiple parallel forms based on matching a reference form item-by-item. The results showed that the cell-only method with content balancing and the sequential and simultaneous versions of IID WDM yielded results comparable to those obtained using the BST MIP method. The cell-only method with content balancing is computationally less intensive than the sequential and simultaneous versions of IID WDM.
URI: http://dx.doi.org/10.3758/s13428-014-0452-4
http://hdl.handle.net/11536/124422
ISSN: 1554-351X
DOI: 10.3758/s13428-014-0452-4
期刊: BEHAVIOR RESEARCH METHODS
Volume: 47
起始頁: 98
結束頁: 106
Appears in Collections:Articles