Services

We can assist researchers in transitioning to new statistical software or statistical tests as well as brainstorming new ways to statistically analyze data or deal with missing data. We can assist students in developing statistical plans before data are collected for dissertation or thesis proposals, and in interpreting the results for dissertations or theses after data are collected.

Project or research planning (getting started)

  • Operationalizing research question
  • Designing research protocol
  • Identifying data to answer research question

Data analysis

  • Determining appropriate statistical tests
  • Developing statistical plan
  • Explaining rationale and details of statistical tests
  • Interpreting descriptive and analytic statistics
  • Visualizing data

Programming

  • Coding statistics in R, SPSS, and Stata
  • Explaining code and statistical output
  • Planning data management and cleaning

Writing

  • Guidance and modeling of methodology, results, and discussion sections for articles/dissertations

Support letters

  • Letters offering statistical support for grant applications. Please see the appointments page for more information.

Services are available free to all members of the GC community (faculty, master’s students, doctoral students, and post-docs) from any program.

What the QRCC cannot do

We cannot assist on coursework.

  • The goal and purpose of the QRCC is to assist students and faculty with developing statistical analysis plans, deciding how and what data to collect, troubleshooting and interpreting data analysis, etc.
  • Our services for students are meant for active research, either independent (e.g., dissertation) or as part of a research team (e.g., faculty research lab). As such, we are not able to assist on statistical assignments or analyses for coursework.

We cannot run analyses.

  • The QRCC is a consultation service meant to help foster and guide researchers on statistical procedures, practices, and interpretation.
  • We exist to augment the analysis being done by researchers, in order to promote and support researcher autonomy and self-efficacy. Thus, while we can help troubleshoot and interpret analyses, we cannot run analyses or write code for clients.
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