Integrating Data Analysis into the Curriculum: Responding to the Scientific Literacy Gap Among Undergraduate Students in the Social Sciences

社会学（86）这个项目是适应整合数据分析（IDA）的方法，已由美国社会学协会和社会科学数据分析网络开发的本科教育。 IDA项目旨在通过将数据模块纳入非研究方法课程来解决社会学本科生的科学素养差距。 在与这些数据模块的工作，学生从事调查研究，并获得经验测试假设和解释统计数据。该项目将各种精心设计的研究经验纳入一系列社会学课程，从入门课程到最先进的选修课程。定义这种社会学方法的共同点是，学生们在整个大学课程中都在从事实证研究和批判性地评估数据。 我们的IDA方法的适应是满足以教学为导向的社会学课程的特殊需求，具有高的学生/教师比例，非社会学专业的大量招生，以及大量的晚上和周末学生在非住宅西班牙裔服务和少数民族服务机构。

Sociology (86)This project is adapting the Integrating Data Analysis (IDA) approach to undergraduate education that has been developed by the American Sociological Association and the Social Science Data Analysis Network. The IDA project is designed to address the scientific literacy gap among undergraduate students in sociology by incorporating data modules into non-research methods courses. In working with these data modules, students engage in investigative research and gain experience testing hypotheses and interpreting statistical data. The proposed project is incorporating a variety of well-designed research experiences into a range of sociology classes from the introductory ones through the most advanced electives. The common thread that defines this approach to sociology is that students are engaging in empirical research and critically evaluating data throughout their college program. Our adaptation of the IDA approach is meeting the special needs of a teaching-oriented sociology program with a high student/faculty ratio, large enrollments by non-sociology majors, and a substantial number of evening and weekend students at a non-residential Hispanic-serving and minority-serving institution.