Vocational interest research has seen a resurgence in the applied psychology literature, given evidence showing its predictive validity for key work outcomes. There is a need for integrative, reliable, and valid measures to advance research in this space. While the RIASEC model of vocational interests (Holland, 1997) has been the most widely used and studied typology for the assessment of six broad interest types, more recent work with the SETPOINT model (Su et al., 2019) suggests that eight interest dimensions provide better fit to interest data and demonstrates stronger criterion-related validity evidence. However, to date, no short scales are available for measuring the broad SETPOINT dimensions. We developed three short scales with 8, 24, and 41 items, respectively, that capture the eight dimensions of the SETPOINT model in an integrative manner. Using a sample of 972 full-time working adults assessed across two-time points over five weeks, we validated these three short scales following robust psychometric analyses. These scales are shown to have good psychometric properties. The development and validation of the three short scales help close the operational gap for the SETPOINT model and further facilitate the study of interests and use of interest measures in academic and applied settings.

职业兴趣研究在应用心理学文献中重新兴起，有证据表明其对关键工作成果的预测有效性。需要采取综合、可靠和有效的措施来推进这一领域的研究。虽然职业兴趣的 RIASEC 模型（Holland，1997）是用于评估六种广泛兴趣类型的最广泛使用和研究的类型学，但最近对 SETPOINT 模型的研究（Su 等人，2019）表明八个兴趣维度提供更好的兴趣数据拟合，并展示更强的标准相关有效性证据。然而，迄今为止，还没有短尺度可用于测量广泛的设定点尺寸。我们开发了三个短量表，分别包含 8、24 和 41 个项目，以综合方式捕获 SETPOINT 模型的八个维度。我们使用 972 名全职工作成年人的样本，在五周内的两个时间点进行评估，通过稳健的心理测量分析验证了这三个简短量表。这些量表被证明具有良好的心理测量特性。三个短量表的开发和验证有助于缩小 SETPOINT 模型的操作差距，并进一步促进兴趣研究和兴趣测量在学术和应用环境中的使用。