Resources for Students
Research Paper Competition
The ICPSR Research Paper Competitiona> is an annual event that is open to undergraduate and master's students and recent graduates of ICPSR member institutions. The Competition seeks to highlight exemplary student research papers based on quantitative analysis of ICPSR data. Awards include cash prizes and publication in the ICPSR Bulletin for first place winners and on the ICPSR Web site for all winners.
Summer Undergraduate Internship Program
The ICPSR summer internship program provides undergraduate students with a unique and expansive experience that introduces all aspects of social science research and includes supported exploration of a research query from start to finish, "hands on" data management, and focused methodological training in quantitative research. The internship program is excellent preparation for advanced studies and careers social science research.
Summer Program in Quantitative Methods of Social Research
The Summer Program provides a comprehensive, integrated program of studies, statistics, data analysis, and social science methodology. Its instructional environment stresses integration of methods of quantitative analysis within a broader context of substantive social research. The Summer Program takes place from early June to late August and most classes are held at the University of Michigan in Ann Arbor.
Webinars and Tutorials
The ICPSR YouTube Channel presents many Webinars and tutorials on accessing and using ICPSR resources. The recorded Webinars cover a variety of topics including finding what you want on the ICPSR Web site, analyzing ICPSR data online, creating setup files for SPSS, debugging SAS, SPSS, and Stata code, etc.
Using Resources for Instructors
While the materials in the Resources for Instructors are intended to support faculty, students wishing to sharpen their research skills or explore a variety of research topics are welcome to make use of these resources. Data-Driven Learning Guides demonstrate questions of interest to social scientists using real data and predefined analyses. Exercise Sets are sequenced activities that build toward a stated learning goal.
Additional Learning Support
Data Citations - Citing data is as important as citing literature used in a paper. This is a discussion of why it is important and how to properly cite data.
Data Management Plans - This section offers guidelines for effective data management and would be most useful for graduate students and faculty beginning research projects for the first time. Information given responds to the requirements of federal funding agencies such as the National Institutes of Health (NIH) and National Science Foundation (NSF).