The aim of this study is to present a short form of the I COPPE scale of multidimensional well-being. We conducted two studies, which include four samples collected across three countries, namely United States, Argentina, and Italy. In the pilot study we tested during the data analysis phase whether it was feasible to reduce the full I COPPE scale by omitting the items dealing with past well-being. Prompted by the positive results of the pilot study, we launched a final validation study with a sample of 2682 Italian people who completed the I COPPE scale short form, which is designed without items referring to past well-being. Results from a series of confirmatory factor analyses show that the I COPPE scale short form presents acceptable levels of construct validity and reliability. Moreover, the 7-factor correlated-trait model proved to be the best fit for the data. We discuss advantaged of using the I COPPE scale short form along with limitations and future recommendations.

中文翻译：

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用于测量多维幸福感的 I COPPE Scale Short Form：构建来自美国、阿根廷和意大利大样本的效度和信度

本研究的目的是呈现 I COPPE 多维幸福感量表的简写形式。我们进行了两项研究，其中包括在三个国家（即美国、阿根廷和意大利）收集的四个样本。在试点研究中，我们在数据分析阶段测试了通过省略涉及过去幸福感的项目来降低完整的 I COPPE 量表是否可行。在试点研究的积极结果的推动下，我们启动了一项最终验证研究，样本为 2682 名完成 I COPPE 量表简短表格的意大利人，该表格的设计没有涉及过去幸福感的项目。一系列验证性因素分析的结果表明，I COPPE 量表简短形式呈现出可接受的结构效度和信度水平。而且，事实证明，7 因子相关性状模型最适合数据。我们讨论了使用 I COPPE 量表简短表格的优势以及限制和未来建议。