Variable  a finding that can take on different values during the course
of a study. When used without specification, refers to a measurement taken
as part of the study (e.g., AGE, AGREE, SEX).
Variables should not to be confused with values, which represents
realized measurements (e.g., 31, neutral, female).
There are numerous ways to classify variable, and no standard taxonomy
exists. As used in this Ebook, we speak of three classes of variables.
These are:

Continuous variables (also called quantitative variables, scale variables,
interval variables), such as AGE

Ordinal variables (rank ordered categories), such as OPINION (1
= strongly agree, 2 = agree, 3 = neutral, 4 = disagree, 5 = strongly disagree)

Categorical variables (also called qualitative variables, nominal variables,
discrete unordered categories), such as SEX (1 = male, 2 = female).
Categorical variables with only two possible outcomes (e.g., SEX)
are called binary, dichotomous, or indicator, variables.
Researchers also speak of the outcome variable (dependent variable,
study outcome, "disease," Y) and main predictor variable (independent
variable, explanatory variable, "exposure," X). For example, we
may be interested in the effect of high blood pressure (predictor variable)
on the incidence of cardiovascular disease mortality (outcome variable).
All variable other than the study outcome and predictor are called extraneous
variables or "potential confounders."