Vocational interest research relies on interest taxonomies that partition the construct space of activity preferences into a small number of broad interest domains. To this day, the most widely used classification system is Holland's (1997) RIASEC taxonomy, which distinguishes between six overarching interest domains. A central feature of this model is that the six domains are connected via a circular similarity structure, the circumplex, which is often described with the help of two orthogonal core dimensions: People-Things and Data-Ideas. In recent years, alternative interest taxonomies have been proposed, which suggest different partitionings of the construct space that are said to better reflect today's world of work. Using the example of one such alternative, namely, the recently introduced SETPOINT model (Su et al., 2019), the current article argues that such taxonomies still strongly reflect the underlying core dimensions that define the interest circumplex. Using a mixed online sample from Germany (N = 560), it is shown that 1) the main and subdomains of the SETPOINT model reflect a circular similarity structure, 2) this circular similarity structure is conceptually identical to the ones identified in previous research, and 3) the discriminatory power of the SETPOINT scales for occupational group membership can largely be traced back to the core dimensions of the interest circumplex.

职业兴趣研究依赖于兴趣分类法，将活动偏好的构造空间划分为少数广泛的兴趣领域。迄今为止，使用最广泛的分类系统是 Holland（1997）的 RIASEC 分类法，它区分了六个主要兴趣领域。该模型的一个核心特征是，六个域通过圆形相似结构（即环线）连接，通常借助两个正交核心维度来描述：人-物和数据-想法。近年来，人们提出了替代兴趣分类法，它提出了构建空间的不同划分，据说可以更好地反映当今的工作世界。使用这样一种替代方案的示例，即最近引入的 SETPOINT 模型（Su 等人，2019），本文认为，这种分类法仍然强烈地反映了定义利益循环的潜在核心维度。使用来自德国的混合在线样本（N  = 560），结果表明：1）SETPOINT模型的主域和子域反映了循环相似结构，2）这种循环相似结构在概念上与先前研究中确定的结构相同，3）职业群体成员资格的设定点量表在很大程度上可以追溯到兴趣环线的核心维度。