The Abridged Big-Five Dimensional Circumplex (AB5C) model stands out due to its ability to locate personality facets within a circumplex structure. However, both current measures of the AB5C model have facets inconsistent with their respective circumplex location. The current study sought to modify specific AB5C-SF scales by selecting new items for eleven facets that displayed poor psychometric properties as well as new facet labels for four facets. Although results suggested that new item selections generally improved the psychometric qualities, some specific circumplex locations remained challenging to capture. Combined with past results, this raises questions regarding whether all possible domain combinations can be well-assessed and if there are single words to capture certain trait combinations in the English language.

简化的大五维环绕模型（AB5C）模型脱颖而出，是因为它能够在环绕结构中定位个性刻面。但是，AB5C模型的两个当前度量都具有与它们各自的外接点位置不一致的方面。当前的研究试图通过为表现出较差的心理测量特性的11个方面选择新的项目以及为4个方面提供新的方面标签来修改特定的AB5C-SF量表。尽管结果表明选择新物品通常可以改善心理测量质量，但某些特定的绕线位置仍然难以捕捉。结合过去的结果，这引发了一个问题，即是否可以正确评估所有可能的域组合，以及是否存在单个单词来捕获英语中的某些特征组合。