What are dichotomous variables?
A dichotomous variable is one that takes on one of only two possible values when observed or measured. The value is most often a representation for a measured variable (e.g., age: under 65/65 and over) or an attribute (e.g., gender: male/female).
What is the difference between dichotomous and continuous variable?
When two dichotomous variables are discrete, there’s nothing in between them and when they are continuous, there are possibilities in between. “Passing or Failing an Exam” is a continuous dichotomous variable. Grades on a test can range from 0 to 100% with every possible percentage in between.
What are ordinal and nominal variables?
Nominal scale is a naming scale, where variables are simply “named” or labeled, with no specific order. Ordinal scale has all its variables in a specific order, beyond just naming them. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.
When does a variable become a dichotomous variable?
A variable is naturally dichotomous if precisely 2 values occur in nature (sex, being married or being alive). If a variable holds precisely 2 values in your data but possibly more in the real world, it’s unnaturally dichotomous .
Which is a nominal variable with only two categories?
In epidemiology, nominal variables with only two categories are very common: alive or dead, ill or well, vaccinated or unvaccinated, or did or did not eat the potato salad. A nominal variable with two mutually exclusive categories is sometimes called a dichotomous variable.
When is a variable unnaturally dichotomous in SPSS?
If a variable holds precisely 2 values in your data but possibly more in the real world, it’s unnaturally dichotomous. Creating unnaturally dichotomous variables from non dichotomous variables is known as dichotomizing. The final screenshot illustrates a handy but little known trick for doing so in SPSS.
What makes a purely nominal variable an ordinal variable?
A purely nominal variable is one that simply allows you to assign categories but you cannot clearly order the categories. If the variable has a clear ordering, then that variable would be an ordinal variable, as described below.