Data Analytics Lab
Statistics Support
Need help with statistics for your research?
- If you are a researcher at FPPW you can get help with your statistical problems by mailing to: stat.pp@ugent.be
- Better safe than sorry. The sooner you ask for advice, the better we can help you. Our service also includes the stage of design development.
- The RSO adheres to the faculty guidelines for authorship of scientific publications
We offer help for a different types of questions:
- Research design
- Power analysis
- Data processing and visualization
- R, SPSS and Mplus syntax
- Reliability/validity
- ANOVA/linear regression
- Categorical data analysis
- Structural equation models
- Path analysis/mediation and moderation
- Mixed effects models
- Multilevel analysis
Example questions
- “I am trying to fit a regression model, but I have outliers and some assumptions are violated.”
- “I am supposed to do logistic regression, but am not familiar with this analysis.”
- “How should I do power analysis for this paper?”
- “I am trying to filt a multilevel model, but it won’t converge. What is causing this and what can I do about it?”
- “How can I fit these SEM models in lavaan?”
- “I would like to check my FWO proposal, data collection and data analysis plan with you.”
R & Rstudio Support
R-Walk-in
On Thursday from 3pm to 4pm researchers at the FPPW can "walk in" with R & Rstudio related questions. This either via Teams (meeting link) or on campus (directions)
Typical issues are
- I keep getting the same error message
- My script is not working anymore
- I do not understand the error message
- …
For statistical questions or for support regarding interpretation and execution of statistical analyses within R, FPPW researchers can make an appointment via stat.pp@ugent.be
R-& RStudio-Resources
Looking for R & RStudio information? These resources can offer a good starting point.
- Ufora – Introductory R course: a Ufora-course that introduces you to R(only in Dutch).
- Statlas: a website (by the department of Data Analysis) with demonstrations of typical statistical methods in R.
- UCLA – Data Analysis Examples: Examples and demonstrations of statistical methods in R (+ SAS, SPSS, STAT, & Mplus)
- Reproducible Workflow in R & RStudio: slides form an in-house workshop.
- An Adventure in Statistics: interactive tutorials that teach you to do statistical analyses in R & RStudio.
- R for Psychologists: an online book, specifically aimed at using R for psychological research.
- R for Data Science: an online book, more generally focused on Data Science.
- Reproducible Reporting in R - RMarkdown: slides form an in-house workshop.
Contact
Dries Debeer, Statistical Consultant
Research Support Office (RSO)
Room 110.070, Henri Dunantlaan 2, 9000 Ghent
Email: stat.pp@ugent.be