Lunz M E, Schumacker R E
American Society of Clinical Pathologists, Chicago, IL 60612-0277, USA.
J Outcome Meas. 1997;1(3):219-38.
The purpose of this study was to compare the results and interpretation of the data from a performance examination when four methods of analysis are used. Methods are 1) traditional summary statistics, 2) inter-judge correlations, 3) generalizability theory, and 4) the multi-facet Rasch model. Results indicated that similar sources of variance were identified using each method; however, the multi-facet Rasch model is the only method that linearized the scores and accounts for differences in the particular examination challenged by a candidate before ability estimates are calculated.
本研究的目的是比较使用四种分析方法时,绩效考试数据的结果及解读。这四种方法分别是:1)传统汇总统计;2)评判者间相关性;3)概化理论;4)多面Rasch模型。结果表明,使用每种方法所识别出的方差来源相似;然而,多面Rasch模型是唯一一种能使分数线性化,并在计算能力估计值之前,考虑考生在特定考试中所面临差异的方法。