Valid and reliable measurement instruments are crucial for human factors in privacy research. We expect them to measure what they purport to measure, yielding validity, and to measure this consistently, offering us reliability. While there is a range of privacy concern instruments available in the field and their investigation continues unabated, we shall focus on a brief form of the scale Internet Users? Information Privacy Concerns (IUIPC-8) as an example. We not only present IUIPC-8 itself, but also consider methods for the evaluation of valid and reliable measurement instruments. In this, confirmatory factor analysis (CFA) serves us as a valuable tool. Our inquiry takes into account the ordinal and non-normal data yielded by the IUIPC questionnaire, compares multiple models to confirm the three-dimensionality of the scale, examines global and local fit and, finally, estimates construct validity and internal consistency reliability metrics. We offer a comparison between IUIPC-10 and IUIPC-8 drawing on two independent samples. In conclusion, we highlight properties of the scale and considerations for its use in practice.

翻译：有效且可靠的测量工具对于隐私研究中的人为因素至关重要。我们期望它们能够测量其声称测量的内容，从而实现效度，并能够一致地进行测量，为我们提供信度。尽管该领域已有多种隐私关注工具可供使用，且相关研究仍在持续推进，但我们将以量表“互联网用户信息隐私关注（IUIPC-8）”的简版形式作为示例。我们不仅介绍IUIPC-8本身，还将探讨评估有效且可靠测量工具的方法。在此过程中，验证性因子分析（CFA）为我们提供了有价值的工具。我们的研究考虑了IUIPC问卷产生的有序和非正态数据，比较了多个模型以确认量表的三维结构，检验了全局及局部拟合度，并最终评估了结构效度和内部一致性信度指标。我们基于两个独立样本，对IUIPC-10与IUIPC-8进行了比较。最后，我们强调了该量表的特性及其在实际应用中的注意事项。