Quantitative analysis
- Data cleaning, missing data and outlier checks
- Reliability, validity and factor analysis
- t-tests, ANOVA, correlation and regression
- Mediation, moderation and conditional process (PROCESS) analyses
- Structural equation modelling with AMOS or SmartPLS
- Reproducible analysis workflows in R
Qualitative analysis
For interview, focus group and document data we support coding frameworks, thematic and content analysis, and the evidence-based presentation of findings, including work in MAXQDA or NVivo.
Learn as you go
We don’t just hand over output files. In one-to-one sessions we explain why an analysis was chosen, which assumptions were checked, how to read the tables and what the results mean for your study, so you can present and defend them yourself.
What to share before we start
- Your research questions or hypotheses
- A description of your variables and measurement instruments
- The reporting style your institute or journal requires, such as APA 7
- Your data file, once we have agreed which files are needed; please don’t send anything containing personal information before that