Ipsative tests with multidimensional forced-choice (MFC) items have been widely used to assess career interest, values, and personality to prevent response biases. Recently, there has been a surge of interest in developing item response theory models for MFC items. In reality, a statement in an MFC item may have different utilities for different groups, which is referred to as differential statement functioning (DSF). However, few studies have been investigated methods for detecting DSF owing to the challenges related to the features of ipsative tests. In this study, three methods were adapted for DSF assessment in MFC items: equal-mean-utility (EMU), all-other-statement (AOS), and constant-statement (CS). Simulation studies were conducted to evaluate the recovery of parameters and the performance of the proposed methods. Results showed that statement parameters and DSF parameters were well recovered for all the three methods when the test did not contain any DSF statement. When the test contained one or more DSF statements, only the CS method yielded accurate estimates. With respect to DSF assessment, both the EMU method using the bootstrap standard error and the AOS method performed appropriately so long as the test did not contain any DSF statement. The CS method performed well in cases where one or more DSF-free statements were chosen as an anchor. The longer the anchor statements, the higher the power of DSF detection.

具有多维强制选择 (MFC) 项目的 Ipsative 测试已被广泛用于评估职业兴趣、价值观和个性，以防止反应偏差。最近，人们对开发 MFC 项目的项目响应理论模型产生了浓厚的兴趣。实际上，MFC 项中的语句可能对不同的组有不同的实用程序，这称为差异语句功能 (DSF)。然而，由于与 ipsative 测试的特征相关的挑战，很少有研究研究检测 DSF 的方法。在这项研究中，三种方法适用于 MFC 项目中的 DSF 评估：等均效用 (EMU)、所有其他陈述 (AOS) 和常数陈述 (CS)。进行了模拟研究以评估参数的恢复和所提出方法的性能。结果表明，当测试不包含任何 DSF 语句时，三种方法的语句参数和 DSF 参数都得到了很好的恢复。当测试包含一个或多个 DSF 语句时，只有 CS 方法产生准确的估计。关于 DSF 评估，只要测试不包含任何 DSF 语句，使用引导标准误差的 EMU 方法和 AOS 方法都可以正常执行。在选择一个或多个无 DSF 语句作为锚点的情况下，CS 方法表现良好。锚语句越长，DSF 检测的能力就越高。关于 DSF 评估，只要测试不包含任何 DSF 语句，使用引导标准误差的 EMU 方法和 AOS 方法都可以正常执行。在选择一个或多个无 DSF 语句作为锚点的情况下，CS 方法表现良好。锚语句越长，DSF 检测的能力就越高。关于 DSF 评估，只要测试不包含任何 DSF 语句，使用引导标准误差的 EMU 方法和 AOS 方法都可以正常执行。在选择一个或多个无 DSF 语句作为锚点的情况下，CS 方法表现良好。锚语句越长，DSF 检测的能力就越高。