We've come full circle: The universality of People-Things and Data-Ideas as core dimensions of vocational interests
本文以SETPOINT模型为例，论证新提出的兴趣分类学仍依赖于人-物和数据-理念这两个核心维度，并基于德国样本数据验证了其圆形相似结构及对职业群体的区分力。
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.