Department of Psychology, Montana State University, Campus Box 173440, Bozeman, MT, 59717-3440, USA,
Behav Res Methods. 2013 Dec;45(4):1099-114. doi: 10.3758/s13428-012-0304-z.
Speeded naming and lexical decision data for 1,661 target words following related and unrelated primes were collected from 768 subjects across four different universities. These behavioral measures have been integrated with demographic information for each subject and descriptive characteristics for every item. Subjects also completed portions of the Woodcock-Johnson reading battery, three attentional control tasks, and a circadian rhythm measure. These data are available at a user-friendly Internet-based repository ( http://spp.montana.edu ). This Web site includes a search engine designed to generate lists of prime-target pairs with specific characteristics (e.g., length, frequency, associative strength, latent semantic similarity, priming effect in standardized and raw reaction times). We illustrate the types of questions that can be addressed via the Semantic Priming Project. These data represent the largest behavioral database on semantic priming and are available to researchers to aid in selecting stimuli, testing theories, and reducing potential confounds in their studies.
从四所不同大学的 768 名受试者中收集了 1661 个目标词的快速命名和词汇判断数据，这些目标词的相关和不相关的启动词。这些行为测量数据与每个受试者的人口统计学信息以及每个项目的描述性特征相结合。受试者还完成了伍德科克-约翰逊阅读电池的部分内容、三项注意力控制任务和一项昼夜节律测量。这些数据可在用户友好的基于互联网的存储库中获得（http://spp.montana.edu）。该网站包括一个搜索引擎，旨在生成具有特定特征（例如长度、频率、联想强度、潜在语义相似性、在标准化和原始反应时间中的启动效应）的启动词-目标词对的列表。我们展示了可以通过语义启动项目解决的问题类型。这些数据代表了最大的语义启动行为数据库，可供研究人员选择刺激物、检验理论以及减少其研究中的潜在混杂因素。
