Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analysed using multiple software packages. Each dataset is accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (which is available at https://osf.io/s46pr/) contained 145 datasets with data from more than 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. Here we show the usefulness of this large collection of datasets in four different analyses that provide precise estimations of several foundational confidence-related effects.

中文翻译：

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信心数据库。

了解人们如何评价他们的信心对于表征各种感知、记忆、运动和认知过程至关重要。为了能够继续探索这些过程，我们创建了一个涵盖广泛范式、参与者群体和研究领域的大型置信度研究数据库。每项研究的数据均采用通用、易于使用的格式构建，可以使用多个软件包轻松导入和分析。每个数据集都附有有关所收集数据性质的解释。截至发布时，置信度数据库（可在 https://osf.io/s46pr/ 获取）包含 145 个数据集，其中数据来自 8,700 多名参与者和近 400 万次试验。该数据库将无限期地对新提交开放，并预计将继续增长。在这里，我们在四种不同的分析中展示了这一大数据集的有用性，这些分析提供了对几种基本的置信相关效应的精确估计。