Linear Models
These pages have some introductions to commonly used linear models that test the response of a continuous dependent variable against one or more predictor variables that may be continuous or categorical. Note that these are only named as different techniques (e.g., regression vs ANOVA) due to common usage in the literature that you will encounter - they all involve the same linear modelling framework.
Some chapters cover several analyses:
- t tests: one sample, independent samples and paired designs
- Analysis of variance: single factor and factorial designs
- Generalised linear models: introduction and binomial data, and count data
- Mixed models: linear mixed models with one random effect, with several random effects, and generalised linear mixed models
Power analyses use these models to calculate power and decide on sample sizes.
Chapters in this part
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Author: Alistair Poore
Year: 2016