Collaborative Project on Integrating Census Data Analysis into the Curriculum

社会学（86）这是与美国社会学协会（Award 0089006）的合作项目。这个合作项目正在与个别教师和整个部门合作，以便将科学推理系统地引入本科课程。该项目旨在通过为教师和整个系提供工具和专业知识，将数据分析和分析严谨性更广泛地融入整个课程，以实现提高社会科学本科生科学素养的目标。密歇根大学的社会科学数据分析网络（www.SSDAN.net）项目与全国范围的教师网络合作，利用美国人口普查局的数据共同制作引人入胜的广泛课程材料。SSDAN鼓励并促进个别教师将专门定制的数据分析模块整合到各级实质性社会科学课程中。美国社会学协会（阿萨）通过结构转型（MOST）方案的少数民族机会与整个部门合作，以确保结构变化的方式改变他们的课程，以改善少数民族和所有学生的研究培训。该项目正在16个社会学系的课程中引入SSDAN方法，作为全系范围的干预措施。一个核心目标是改变课程，从而让学生更有序和更普遍地接触科学推理和数据分析技能。正在利用讲习班、后续访问、与密歇根州和阿萨工作人员的互动沿着部门网站来支持全面实施和评估这一干预措施。该项目还大幅修订和更新了SSDAN网站和数据分析模块创建功能，供社会和行为科学领域的教师使用。从美国2000年人口普查，历史普查，CPS（当前人口调查），和GSS（一般社会调查）的新数据集正在被添加，并通过SPSS，SAS，STATA，GIS软件包和新的交互式数据分析功能的分析的额外格式也被提供。该项目正在编写一份“指南”，指导主席和院长如何在不同类型的部门和不同学科实施部门干预措施。此外，正在编制一份已出版的工作手册，更新SSDAN以前的出版物，并扩大可通过网站下载的数据集、课程模块和联网能力的数据库。

Sociology (86)This is a collaborative project with the American Sociological Association (Award 0089006). This collaborative project is working with individual faculty and whole departments in order to introduce scientific reasoning systematically into the undergraduate curriculum. The project is pursuing the goal of improved scientific literacy among undergraduate students in the social sciences by providing teachers and whole departments with tools and expertise to integrate data analysis and analytic rigor more widely throughout the curriculum.This collaboration is building upon two already successful approaches that complement each other. The Social Science Data Analysis Network (www.SSDAN.net ) project at the University of Michigan has worked with a nationwide network of faculty to co-produce engaging, wide-ranging curricular materials with US Census Bureau data. SSDAN encourages and facilitates individual faculty to integrate specially tailored, data analysis modules into substantive social science courses at all levels. The American Sociological Association's (ASA's) Minority Opportunities through Structural Transformation (MOST) Program has worked with entire departments to alter their curriculum in ways that ensure structural change toward improved research training of minorities and all students. This project is introducing SSDAN approaches as department-wide interventions in a critical mass of courses in the curriculum of 16 sociology departments. A core goal is to transform the curriculum and thus give students a more sequenced and pervasive exposure to scientific reasoning and data analytic skills. Workshops, follow-up visits, interactions with the Michigan and ASA staffs along with departmental websites are being utilized to support the full implementation and evaluation of this intervention. The project is also significantly revising and updating the SSDAN website and data analysis module creation features used by faculty across the social and behavioral sciences. New datasets from the US 2000 Census, historical censuses, CPS (Current Population Survey), and GSS (General Social Survey) are being added, and additional formats for analysis by SPSS, SAS, STATA, GIS packages, and new interactive data analysis features are also being provided. The project is working on a "Guide" that instructs chairs and deans how to implement departmental interventions across different types of departments and diverse disciplines. In addition, a published workbook updating earlier SSDAN publications and an expanded bank of downloadable datasets, course modules, and networking capabilities via the website is being produced.