SigmaAnalytics & Tech

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

A · Research foundations

C · Describing data

C3Planned

Normality and distribution checks

What "assumes normality" actually refers to, and the fact that it is usually the residuals and not the raw variable.

~30 minSPSS

D · Comparing groups

E · Relationships and prediction

F · Scales and multivariate

F2Planned

Exploratory factor analysis and PCA

What factor analysis is for and how PCA differs from common factor analysis.

~40 minSPSS
F3Planned

MANOVA

When several dependent variables belong in one analysis, and when they do not.

~30 minSPSS
F4Planned

Cluster analysis

Segmentation as a research question.

~30 minSPSS

G · Specialist methods

G1Planned

Survival analysis

Time-to-event data and why it cannot be analysed as a simple outcome.

~40 minSPSS
G4Planned

Complex samples and survey weights

Why multistage survey data cannot be analysed as a simple random sample.

~35 minSPSS

H · Reporting and defence

H3Planned

Writing the results and discussion

The order results should be presented in, and why it mirrors the objectives.

~30 min
H4Planned

Defending your analysis

## Suggested bundles

~25 min

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