ICPSR is the world's largest archive of digital social science data. They acquire, preserve, and distribute original research data and provide training in its analysis. They also offer access to publications based on their data holdings.The training resources were created especially for undergraduate faculty and students. While any of ICPSR's data and tools can be used in the classroom, the ones provided on their webpage make it easy for instructors to set up data-driven learning experiences. The materials can be used as the basis for assignments, as an in-class or study exercise, for lecture content, or any other way you see fit. All resources are provided under a Creative Commons (attribution) License.
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Title | Description | Collections |
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"Exercise Modules: Exploring Data Through Research Literature Investigating Community and Social Capital Voting Behavior: The 2016 Election (SETUPS) Exercises at the Social Science Research & Instructional Center, using the 2014 General Social Survey" | These resources are made up of sequenced activities. While assignments may be created using a few of the exercises in a set, the full package must be used to meet the stated learning objectives for each. Exercise Sets are often appropriate for Research Methods courses and more substantively focused courses. |
Training Discovery Toolkit |
Data-Driven Learning Guides | These standardized exercises introduce (or reinforce) key concepts in the social sciences by guiding students through a series of questions and related data analyses. Analyses are preset so students can focus on content rather than mechanics of data analysis. To assist instructors with selection, guides are also categorized by the most sophisticated statistical test presented in the exercise. |
Training Discovery Toolkit |
Videos on Teaching: Conceptualizing and Visualizing Conflict Data with Shiny | ICPSR has a number of video presentations that address a variety of topics on their YouTube Channel. Including Drs. Dave Armstrong's and Christian Davenport's video on a real-world example of data visualization using Shiny. They discuss conceptualization and measurement of conflict in quantitative data and demonstrate how to produce graphics to convey their findings.
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Training Discovery Toolkit |