Development of an computerized adaptive testing of New Japanese Version of Minnesota Multiphasic Personality Inventory (MMPI).

自20世纪60年代以来，许多研究一直在计算机化明尼苏达州多相人格量表（MMPI）的管理。然而，现在，我们应该开发一种计算机化的MMPI自适应测试。本研究运用项目反应理论（IRT）开发自适应MMPI（新日文版）。通过IRT的双参数logistic模型，从日本国家常模组（522名女性和500名男性）的数据中估计项目难度和辨别参数。除Mf和Si不用于临床决策外，各量表在最大测试信息或最大辨析力下的特征值接近2.0，在T-score上等于70。图中为MMPI异常，说明通过IRT MMPI可以区分异常组和正常组。本研究的下一步是使用规范组中不同的样本来验证这些项目参数的交叉效度。一个真实的数据模拟显示了两个发现。首先，估计的高品质与实际的高量表分数很吻合。其次，适应性MMPI将管理项目的数量从全部减少到十分之一。因此，它能以较少的项目准确判断异常，适用于筛选试验。

Many studies have been computerizing an administration of the Minnesota Multiphasic Personality Inventory (MMPI) from 1960s. However, now, we should develop a computerized adaptive testing of the MMPI. In this study, Item Response theory (IRT) was applied to develop the adaptive MMPI (New Japanese Version).Through the two-parameter-logistic model of IRT, item difficulty and discrimination parameters were estimated from Japanese national norm group data (522 females and 500 males). Except for the Mf and Si which are not utilized for clinical decision, it was indicated that a trait value at maximum test information or maximum discrimination power of each scale was nearly 2.0, which is equal to 70 on T-score. The figure means abnormality on the MMPI, so it is revealed that through IRT the MMPI can distinguish abnormal group from normal one.The next step of this study verified cross-validity of those item parameters using a distinct sample from the norm group. A real data simulation demonstrated two finds. First, an estimated high trait was good fitting to a real high scale score. Second, the adaptive MMPI reduced the number of administered items from all to one tenth. So, it is able to accurately judge abnormality with fewer items, and is suitable for a screening test.