Classification of Variables

Question 1

any factor or property that a researcher measures, controls, and/or manipulates.

Answer 1

variable

Question 2

variable is any factor or property that a researcher

Answer 2

researcher measures,
controls,
and/or manipulates.

Question 3

It is also (three characteristics of data item) the changing quantity or

Answer 3

measure of any factor,
trait,
condition that can exist in differing amounts

Question 4

also called a data item.

Answer 4

variable

Question 5

5 Classifications of Variables

Answer 5

Numeric variables.
Categorical variables.
Experimental variables
Non-experimental Variables
Variables according to the number being studied

Question 6

are variables with values that describe a measurable numerical
quantity

Answer 6

Numeric variables.

Question 7

questions "how many" or "how much."

Answer 7

Numeric variables.

Question 8

2 sub classification of numeric variable

Answer 8

Continuous variables.
Discrete variables.

Question 9

variables can assume any value between a certain set of real
numbers. The values depend on the scale used.

Answer 9

Continuous variables.

Question 10

used. Continuous variables are also called

Answer 10

interval
variables.

Question 11

Continuous variables examples

Answer 11

time,
age,
temperature,
height, and weight.

Question 12

These variables can only assume any whole value within the limits of the given variables.

Answer 12

Discrete variables.

Question 13

Discrete variables examples

Answer 13

number of registered cars,
number of business locations,
number of children in the family,
population of students,
and total number of
faculty members.

Question 14

These are variables with values that describe a quality or characteristic of a data unit

Answer 14

Categorical variables.

Question 15

answers questions like “what type” or “which category”

Answer 15

Categorical variables.

Question 16

types of Categorical variables.

Answer 16

Ordinal variables.
Nominal variables.
Dichotomous variables.
Polychotomous variables.

Question 17

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.

Answer 17

Ordinal variables.

Question 18

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.

Answer 18

Nominal variables.

Question 19

variables represent only two categories. Some examples are
gender (male and female), answer (yes or no), and veracity (true or false).

Answer 19

Dichotomous variables.

Question 20

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).

Answer 20

Polychotomous variables.

Question 21

used in experimental studies

Answer 21

Experimental variables

Question 22

3 types of Experimental variables

Answer 22

Independent variables.
Dependent variables.
Extraneous variables.

Question 23

variables are usually manipulated in an experiment. Thus, it is also called manipulated or explanatory variable.

Answer 23

Independent variables.

Question 24

variables are usually affected by the manipulation of the
independent variables.

Answer 24

Dependent variables.

Question 25

also called response or predicted variable.

Answer 25

Dependent variables.

Question 26

also called mediating or intervening variables.

Answer 26

Extraneous variables.

Question 27

variables are already existing during the conduct of an experiment and could influence the result
of the study. They are known as covariate variables

Answer 27

Extraneous variables.

Question 28

2 types of Non-experimental Variables

Answer 28

Predictor Variables.
Criterion Variables.

Question 29

variables changes the other variable/s in a non-experimental study.

Answer 29

Predictor Variables.

Question 30

variables are usually influenced by the predictor variables.

Answer 30

Criterion Variables.

Question 31

3 types of Variables according to the number being studied

Answer 31

Univariate study.
Bivariate study.
Polyvariate study.

Question 32

Only one variable is being studied.

Answer 32

Univariate study.

Question 33

Two variables are being studied

Answer 33

Bivariate study.

Question 34

More than two variables are being studied

Answer 34

Polyvariate study.