![]() ![]() Rating scale responses in a survey, such as Likert scales*.Groups that are ranked in a specific order. Groups with no rank or order between them. Binary vs nominal vs ordinal variables Type of variableīinary variables (aka dichotomous variables) There are three types of categorical variables: binary, nominal, and ordinal variables. They are sometimes recorded as numbers, but the numbers represent categories rather than actual amounts of things. Measurements of continuous or non-finite values.Ĭategorical variables represent groupings of some kind. ![]() Number of different tree species in a forestĬontinuous variables (aka ratio variables).Discrete vs continuous variables Type of variableĭiscrete variables (aka integer variables) There are two types of quantitative variables: discrete and continuous. When you collect quantitative data, the numbers you record represent real amounts that can be added, subtracted, divided, etc. ![]() Each of these types of variables can be broken down into further types. Data is generally divided into two categories:Ī variable that contains quantitative data is a quantitative variable a variable that contains categorical data is a categorical variable. Types of data: Quantitative vs categorical variablesĭata is a specific measurement of a variable – it is the value you record in your data sheet.
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