Classification of Variables Flashcards
(34 cards)
any factor or property that a researcher measures, controls, and/or manipulates.
variable
variable is any factor or property that a researcher
researcher measures,
controls,
and/or manipulates.
It is also (three characteristics of data item) the changing quantity or
measure of any factor,
trait,
condition that can exist in differing amounts
also called a data item.
variable
5 Classifications of Variables
Numeric variables.
Categorical variables.
Experimental variables
Non-experimental Variables
Variables according to the number being studied
are variables with values that describe a measurable numerical
quantity
Numeric variables.
questions "how many" or "how much."
Numeric variables.
2 sub classification of numeric variable
Continuous variables.
Discrete variables.
variables can assume any value between a certain set of real
numbers. The values depend on the scale used.
Continuous variables.
used. Continuous variables are also called
interval
variables.
Continuous variables examples
time,
age,
temperature,
height, and weight.
These variables can only assume any whole value within the limits of the given variables.
Discrete variables.
Discrete variables examples
number of registered cars,
number of business locations,
number of children in the family,
population of students,
and total number of
faculty members.
These are variables with values that describe a quality or characteristic of a data unit
Categorical variables.
answers questions like “what type” or “which category”
Categorical variables.
types of Categorical variables.
Ordinal variables.
Nominal variables.
Dichotomous variables.
Polychotomous variables.
variables can take a value which can be logically ordered or ranked. Some examples are academic grades such as A, B, C; clothing size such as X, L. M.S; and
measures of attitudes like strongly agree, agree, disagree, or strongly disagree.
Ordinal variables.
variables whose values cannot be organized in a logical
sequence. Some examples are business types, eye colors, kinds of religion, various languages, and types of learners.
Nominal variables.
variables represent only two categories. Some examples are
gender (male and female), answer (yes or no), and veracity (true or false).
Dichotomous variables.
variables that have many categories. Some examples
are educational attainment (elementary, high school, college, graduate, and postgraduate),
level of performance (excellent, very good, good, satisfactory, or poor).
Polychotomous variables.
used in experimental studies
Experimental variables
3 types of Experimental variables
Independent variables.
Dependent variables.
Extraneous variables.
variables are usually manipulated in an experiment. Thus, it is also called manipulated or explanatory variable.
Independent variables.
variables are usually affected by the manipulation of the
independent variables.
Dependent variables.
