A continuous variable can take on any score or value within a measurement scale. In addition, the difference between each of the values has a real meaning. Familiar types of continuous variables are income, temperature, height, weight, or distance. There are two main types of continuous variables, interval and ratio.
The first type of continuous variable is the interval variable. An interval variable can be ordered, and the distance or level between each category is equal and static. Using an income question as an example, income could be a variable about temperature using the Fahrenheit scale.
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Another type of continuous variable is a ratio variable. A ratio variable is similar to an interval variable with one difference: the ratio of the scores makes sense. Let’s say respondents were being surveyed about their stress levels on a scale of 0-10. A respondent with a stress level of 10 should have twice the stress experienced as a respondent who selected a stress level of 5. A ratio variable needs to have a clear 0 point. Age, height, and weight are also good examples of ratio variables. Someone who is 6’.0” tall is twice as tall as someone who is 3’.0” tall.
Please select your child's weight