Secondary Analysis in Disability and Rehabilitation Research


The workshop will introduce participants to secondary data analysis opportunities in disability and rehabilitation research. We will provide information on the value of secondary data analysis in advancing scholarship and practice; how to find and select secondary data related to a topic of interest; and the fundamentals of accessing, managing, and analyzing archived data.

The workshop will be led by data archivists and researchers from the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan and the Center for Large Data Research and Data Sharing in Rehabilitation (CLDR) at the University of Texas Medical Branch. We will use both didactic learning methods and hands-on activities. The information and skills will be particularly beneficial for students, post-docs, and junior investigators looking for ways to establish and/or enhance their research programs.

Please note that participants are strongly encouraged to provide their own personal laptop computer. Tablets are not suitable.

Application: Admission to this workshop is competitive. Enrollment is limited to 15 participants. Apply using the Summer Program Portal (by clicking on the "Registration" tab at the top of this page) to provide your information and select the course. Also, upload the following documents via the registration Portal:

  • Current curriculum vita
  • Cover letter discussing your motivations for attending the workshop, career background or work experience, and the statistical package(s) that you are familiar with (SPSS, SAS, Stata, R, etc.).

Sponsor: Archive of Data on Disability to Enable Policy and Research (ADDEP)

Co-Sponsors: Center for Large Data Research and Data Sharing in Rehabilitation (CLDR), Medical Rehabilitation Research Resource (MR3) Network, and Department of Occupational Therapy - Colorado State University

Fee: There is no tuition fee for the course.

Deadline: May 30, 2019.

Tags: ADDEP, rehabilitation sciences, disability sciences, curation, research data management, data sharing, data archiving

Course Sections