Summer Institutes for Cross-Cultural Anthropological Research

该奖项通过支持跨文化人类学研究暑期学院来支持人类学科学家的培训和专业发展。这些研究所将培训教师、研究人员和高级研究生，使他们掌握进行区域和世界范围比较研究的理论和最新方法，以便将这些方法纳入人类学数据的课程和跨文化研究中。来自人类学数据的跨文化发现对许多社会科学（如心理学、社会学、经济学、政治学）至关重要，特别是在检验重要政策理论的普遍性时。人类学系在为跨文化分析提供适当的现代定量方法方面的培训能力各不相同，这些研究所填补了新一代研究人员培训方面的关键空白。为了将培训扩大到更广泛的教师、博士后和学生圈子，研究所讲师将准备学习模块（演示文稿、数据集、练习），这些模块将在研究所结束时以开放获取的形式在线提供。这些研究所的教学内容涵盖从项目概念到统计分析的区域和世界范围比较的所有阶段。该研究所的讲师将教授符合科学原则的策略，包括选择充分代表人口的样本，这对于回答描述性问题尤其重要，从特定的理论原则中得出可检验的假设，从理论结构中设计适当的操作措施，采取措施尽量减少随机和系统误差，部署适当的分析策略，在得出结论的时候要适当谨慎。每个参与者将设计并执行一个试点项目在他们的时间在一个研究所。在进行体验之前，将编写两种筹备材料。首先，为了方便使用不同跨文化样本的数据，将对常用的跨文化样本之间的一致性进行扩展、升级，并将其放入在线开放获取格式。其次，讲师将准备统计材料，以便接受的参与者可以在出席之前复习基本的统计知识并学习R（开源统计环境）的基础知识。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award supports the training and professional development of scientists is anthropological science by supporting the Summer Institutes for Cross-Cultural Anthropological Research. These institutes will train faculty, researchers, and advanced graduate students in the theory and state-of-the art methods for conducting regional and worldwide comparative research so that these methods can be incorporated into courses and cross-cultural research using anthropological data. Cross-cultural findings derived from anthropological data are critical to many social sciences (e.g., psychology, sociology, economics, political science), particularly when testing the generalizability of important theories for policy. Anthropology departments differ in their ability to offer training in appropriate and modern quantitative methods for cross-cultural analysis, and these institutes fill a critical gap in training for a new generation of researchers. To expand the training to a wider circle of faculty, post-docs, and students, institute instructors will prepare learning modules (presentations, datasets, exercises) that will be made available online in an open-access format at the conclusion of the institutes. The institutes consist of instruction that covers all phases of regional and worldwide comparisons from project conception through statistical analysis. Instructors in the institute will teach strategies consistent with scientific principles, including selecting samples that adequately represent a population, which is especially important for answering descriptive questions, deriving testable hypotheses from specified theoretical principles, designing appropriate operational measures from theoretical constructs, taking steps to minimize random and systematic error, deploying appropriate analysis strategies, and exercising appropriate caution in the nature of conclusions that can be drawn. Each participant will design and execute a pilot project during their time at an institute. Prior to the experience, two types of preparatory materials will be produced. First, to facilitate using data from different cross-cultural samples, a concordance between commonly used cross-cultural samples will be expanded, upgraded, and put into an online open-access format. Second, instructors will prepare statistical materials so that accepted participants can brush up on basic statistics and learn the rudiments of R (an open-source statistical environment) prior to attendance.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.