Statistical Services
We support data-driven statistical analysis for all stages of a research project from pre-grant proposals through manuscript revision to help our clients have the strongest inference that can be supported by their data.
Services
Research design
- Develop data collection protocols that will result in data that can answer your research questions
- Power analysis and sample size determination based on pilot data or published results
- Determine the appropriate statistical model for the analysis
- Interrogate assumptions and potential pitfalls that can impact the data
Data collection and management
- Aid in building data collection repositories
- Collect data through surveys, focus groups, or interviews
- Clean and merge existing data
- Classify qualitative data
- Assess reliability of data
Data analysis
- Data cleaning and visualization
- Descriptive statistics in tables and paragraph form
- Statistical modeling and analysis
- Interpretation and manuscript methods section support
Reporting and dissemination
- Assistance with dissemination in presentations, manuscripts, websites, or posters
- Produce data visualizations and interactive dashboards
- Deliverables include reproducible reports along with code and human readable documentation
- Provide presentations to researchers or a broader audience on the data and analysis
Education
- Data science workshops co-taught by the MSU Library include: introduction to R, data visualization in R, intermediate R, data wrangling, python for data science, and GenAI for data science (Data Science Training Videos and Materials)
- Workshops can be customized for your needs and audience
Our services are customizable, client focused, and collaborative.
Social Data can deliver end-to-end statistical or data analysis or contribute specific components of your analysis. We work in close collaboration with our clients to ensure our products are useful and informative.
Learn More
Schedule a time to consult with our Research Statistician about your project needs. Fill out an expression of interest form to learn more.
For additional resources beyond what we can offer, you can direct inquiries to the Coordinator of Statistical Resources in the Department of Mathematical Sciences.
