Every module we teach, and exactly what is in it
Research statistics taught the way they are actually used — the assumption that chooses the test, the SPSS path in full, and the sentence that reports it.
44
modules planned
25
available now
23h 20m
of learning time
9 modules · Clear filters
C · Describing data
Normality and distribution checks
What "assumes normality" actually refers to, and the fact that it is usually the residuals and not the raw variable.
D · Comparing groups
E · Relationships and prediction
F · Scales and multivariate
Exploratory factor analysis and PCA
What factor analysis is for and how PCA differs from common factor analysis.
MANOVA
When several dependent variables belong in one analysis, and when they do not.
Cluster analysis
Segmentation as a research question.
G · Specialist methods
Survival analysis
Time-to-event data and why it cannot be analysed as a simple outcome.
Complex samples and survey weights
Why multistage survey data cannot be analysed as a simple random sample.
How it is sold
Take one module, a track, or the whole thing
Every module can be bought on its own if you only need one test. Most people take a programme — a named bundle that covers a whole job of work — and the modules you have already finished carry across if you upgrade later.
See the programmes