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A Study of Reverse-Worded Matched Item Pairs Using the Generalized Partial Credit and Nominal Response Models

机译：使用广义部分信用和名义响应模型的反向措辞匹配项对的研究

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The generalized partial credit model (GPCM) is often used for polytomous data; however, the nominal response model (NRM) allows for the investigation of how adjacent categories may discriminate differently when items are positively or negatively worded. Ten items from three different self-reported scales were used (anxiety, depression, and perceived stress), and authors wrote an additional item worded in the opposite direction to pair with each original item. Sets of the original and reverse-worded items were administered, and responses were analyzed using the two models. The NRM fit significantly better than the GPCM, and it was able to detect category responses that may not function well. Positively worded items tended to be more discriminating than negatively worded items. For the depression scale, category boundary locations tended to have a larger range for the positively worded items than for the negatively worded items from both models. Some pairs of items functioned comparably when reverse-worded, but others did not. If an examinee responds in an extreme category to an item, the same examinee is not necessarily likely to respond in an extreme category at the opposite end of the rating scale to a similar item worded in the opposite direction. Results of this study may support the use of scales composed of items worded in the same direction, and particularly in the positive direction.
机译：广义部分信贷模型（GPCM）通常用于多种数据;然而，标称响应模型（NRM）允许在物品积极或负面措辞时，对相邻类别的歧视性不同的调查。使用来自三种不同的自我报告的鳞片的十个项目（焦虑，抑郁和感知的压力），作者写了一个涉及相反方向措辞的附加项目，与每个原始项目配对。管理原始和反向措辞的项目，使用这两种模型分析了响应。 NRM拟合明显优于GPCM，并且能够检测可能无法运行的类别响应。正面措辞往往比负面措辞更具措辞。对于抑郁尺度，类别边界位置往往具有比来自两种模型的负措辞物品的正面措辞更大的范围。当反向措辞时，有些物品相当运行，但其他物品没有。如果考生在物品中的极端类别中响应，则相同的考生不一定可能在评级尺度的相对端的极端类别中响应与相反方向的类似项目。该研究的结果可以支持使用符号措辞的物品组成的鳞片，特别是在正方向上。

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