Office of Research Partnership

The Office of Research at the University of Waterloo is partnering with the Survey Research Centre on a one-year pilot program to strengthen the quality and success of research grant applications that involve surveys. 

Research Grant Application Help 

The SRC can provide UWaterloo researchers with the following help in preparing grant applications at no cost to the researcher:

  • Power/sample size calculations (i.e., determining how many of the target population to survey for the data to be valid and reliable)*
  • Statistical advice on sampling designs, sampling weights and appropriate statistical methodology for analyzing survey data*
  • Advice on which survey mode (i.e., online, phone, mail or mixed mode) is best suited to ensure high-quality data collection
  • Survey question development and structure to reduce bias and help maximize response rates
  • Detailed cost estimates and timelines for survey development, data collection and top-line data analysis - often essential information for developing research budgets
  • One-page short report on power/sample size and statistical methodology for inclusion in the grant application*

* prepared by the SRC Senior Methodologist, faculty member in the Department of Statistics and Actuarial Science

The program has limited space and researchers will be considered for the program on a first-come, first-served basis, with priority given to early career/first-time research grant applicants.

If you have questions or would like to be considered for the program, please contact Beth McLay.

Applying for a research grant?

Learn about a new, no-cost Office of Research partnership to help UWaterloo researchers with grant applications.

"I cannot think of any improvements [to this program] other than supporting the SRC to help more faculty members with this outstanding research support. This is an incredible resource for faculty to have access to while developing grants. The SRC provides not only methodological design, etc., but substantive, foundational feedback that improves the overall quality of the research proposed.                              Ashley Rose Mehlenbacher, Assistant Professor, Department of English Language and Literature