Resources for Students

Learning Support

  • How to Read a Journal Article - Tips and tricks to make reading and understanding social science journal articles easier.

  • A Guide to Interpreting SPSS Output - How to interpret frequency distributions, crosstabulations, comparison of means tests, correlations, and OLS regressions done in SPSS. Used in teaching undergraduate Introduction to Statistics course.

  • 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 - Guidelines for effective data management, 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 and National Science Foundation.

Research Paper Competition

The ICPSR Research Paper Competition is an annual event open to undergraduate and graduate students and recent graduates. The competition seeks to highlight exemplary student research papers based on quantitative analysis of ICPSR data. Each of the four competition categories addresses a particular research topic and has specific eligibility requirements for entry. Awards include cash prizes and publication in the ICPSR Bulletin for first-place winners and on the ICPSR website for all winners.

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 Webinars and tutorials on accessing and using ICPSR resources. The Webinars cover a variety of topics, including finding what you want on the ICPSR website, analyzing ICPSR data online, creating setup files for SPSS, debugging SAS, SPSS, and Stata code, etc.