Dummy Variables: used in regression analysis when you want to assign relationships to unconnected
categorical variables. For example, if you had the categories ―has dogs‖ and ―owns a car‖ you might assign a 1
to mean ―has dogs‖ and 0 to mean ―owns a car.‖
Endogenous variable: similar to dependent variables, they are affected by other variables in the system. Used
almost exclusively in econometrics.
Exogenous variable: variables that affect others in the system.
Explanatory Variable: a type of independent variable. When a variable is independent, it is not affected at all
by any other variables. When a variable isn‘t independent for certain, it‘s an explanatory variable.
Extraneous variables are any variables that you are not intentionally studying in your experiment or test.
Interval variable: a meaningful measurement between two variables. Also sometimes used as another name for
a continuous variable.
Intervening variable: a variable that is used to explain the relationship between variables.
Latent Variable: a hidden variable that can‘t be measured or observed directly.
Manifest variable: a variable that can be directly observed or measured.
Manipulated variable: another name for independent variable.
Mediating variable: variables that explain how the relationship between variables happens. For example, it
could explain the difference between the predictor and criterion.
Observed Variable: a measured variable (usually used in SEM).
Outcome variable: similar in meaning to a dependent variable, but used in a non-experimental study.
Polychotomous variables: variables that can have more than two values.
Predictor variable: similar in meaning to the independent variable, but used in regression and in non-
experimental studies.
Responding variable: an informal term for dependent variable, usually used in science fairs.
Scale Variable: basically, another name for a measurement variable.
Test Variable: another name for the Dependent Variable.
Treatment variable: another name for independent variable.
A quantitative variable is measured numerically. With measurements of quantitative variables you can do things
like add and subtract, and multiply and divide, and get a meaningful result. In the previous example, "Age" was
a quantitative variable.
The Natural Numbers
The natural (or counting) numbers are 1,2,3,4,5,1,2,3,4,5, etc. There are infinitely many natural numbers.
The set of natural numbers, {1,2,3,4,5,...}{1,2,3,4,5,...}, is sometimes written NN for short.
The whole numbers are the natural numbers together with 00.
(Note: a few textbooks disagree and say the natural numbers include 00.)
The sum of any two natural numbers is also a natural number (for example, 4+2000=20044+2000=2004), and
the product of any two natural numbers is a natural number (4×2000=80004×2000=8000). This is not true for
subtraction and division, though.
The integers are the set of real numbers consisting of the natural numbers, their additive inverses and zero.
{...,−5,−4,−3,−2,−1,0,1,2,3,4,5,...}{...,−5,−4,−3,−2,−1,0,1,2,3,4,5,...}
The set of integers is sometimes written JJ or ZZ for short.
The sum, product, and difference of any two integers is also an integer. But this is not true for division... just
try 1÷21÷2.