Data Analysis
Regression Analysis
A model is only as good as the assumptions you checked before it.
Regression output is easy to produce and easy to over-claim. A significant coefficient with an R-squared of 0.04 is a finding worth reporting honestly, not a headline. We specify the model from your theory, check the assumptions that make the estimates meaningful, and write the interpretation in the units your reader cares about.
What you get
- Model specified from your theory, not from what fits
- Multicollinearity, linearity and residuals checked
- Coefficients interpreted in the units of your variables
- Effect size reported alongside significance
- Limitations of the model stated plainly
Related reading
Data Analysis
Descriptive Statistics
The section that shows you understand your sample before testing it.
Read more →
Data Analysis
SPSS Support
Tests chosen for your data, run properly, and reported in your style.
Read more →