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
D · Comparing groups
One-sample and independent-samples t-test
What question each t-test answers.
Paired-samples t-test
What makes data paired - before/after, matched pairs, two measures on the same person.
One-way ANOVA and post hoc
Why three t-tests is the wrong answer, with the inflated-error arithmetic on the slide.
Two-way and factorial ANOVA
Main effects and interaction, explained before any output appears.
Repeated measures ANOVA
When measurements are repeated on the same participants and why that demands a different test.
Non-parametric alternatives
When a non-parametric test is the right answer and when it is an excuse.
ANCOVA
What a covariate does and what "adjusted means" means.
E · Relationships and prediction
Simple linear regression
What regression adds that correlation does not - a prediction and a unit.
F · Scales and multivariate
MANOVA
When several dependent variables belong in one analysis, and when they do not.
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