Experimental design, power and statistics for in vivo behavioural scientists
  • Downloding and installing R
  • Designing Experiments
  • Power Analysis
  • Planning Data Analysis
  • Data analysis

Types of Measurement

In the table below are the various types of data that you may generate from your experiments. This is not an exhaustive list, but it should cover most of what you will come across. 
Type of data
Example
Level of measurement
Binary
usually 0, 1: yes/no (e.g., disease present/absent)
Nominal scale
Binomial
a proportion: e.g., number of successes in many yes/no trials
Interval scale
Categorical
unrelated categories; e.g., country of origin, species
Nominal scale
Continuous
continuous real numbers; e.g., reaction times
Ordinal/interval/ratio
Count
non-negative integer values: e.g., number of pups in litter
Ratio scale
Ordinal
some kind of ranking scale where items are non-independent: e.g., temperature
Ordinal scale
Back to planning your data analysis
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