These pages describe the basic components of the design process, concepts crucial to the internal validity of your experiment, and how to represent these in your EDA diagram.
Experimental Design
Experiment
The experiment node is where you describe the high level information about experiment, such as objectives and the effect size you are interested in
Animal Characteristics
The characteristics of the animals used can have a large influence on both the results and the analysis methods used to analyse those results
Independent variables
Variables that are manipulated in the experiment, including independent variables of interest and nuisance variables
Group and sample size
Group nodes are where you can define your groups, and add details of the sample size
Experimental unit
The experimental unit is the entity subjected to an intervention independently of all other units
Allocation
Allocation is the process by which experimental units are assigned to experimental groups
Blinding
Blinding is important to avoid unknowingly influencing the behaviour of animals, measurements of results, or analysis of experiments
Intervention
An intervention is what the experimental units are subjected to in order to test your hypothesis
Measurement
Measurements are the process animals or samples are subjected to in order to collect data
Analysis
In hypothesis-testing experiments, statistical analysis helps determine the weight of evidence against the null hypothesis
