Variables Of Quantitative Research Flashcards

1
Q

____are anything that can be observed
by the researchers. A _______may be a
person, thing, place, situation, or
phenomenon.

A

Variables

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2
Q

Variables can be categorized
depending on the ___ and ____

A

level of measurement and role

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3
Q

may influence another
variable to change. In experimental research,
independent variables may also be manipulated
to examine the specific effect they may have
toward the dependent variable.

A

Independent Variables

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4
Q

are the variables
that are influenced by the independent
variables.

A

dependent variable

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5
Q

are also known as
intervening variables since they
intervene between the independent
and dependent variables to show their
connection.

A

Mediating variables

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6
Q

may act as a
dependent variable and
independent variable at the same
time.

A

mediating variables

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7
Q

are
variables that have a strong
conditioned effect, which may
modify the relationship between
the independent and dependent
variables.

A

moderating variables

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8
Q

mediating variables should act as a dependent
variable with respect to the independent variable
and may also cause change to the dependent
variable, while a ______ must not
be directly affected by the independent variable
and should not result to it in any way.

A

moderating variables

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9
Q

are variables that
should be mainly excluded from the
research study as they may interfere
and compromise with the experiment
and research results

A

extraneous variables

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10
Q

The measurement level, also called
______ gives you an
idea of the type of data you have.

A

scales of measure

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11
Q

Level of measurement can be classified into
two: _____and _____measures of
variables.

A

categorial and continuous

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12
Q

is categorized into
interval and ratio levels

A

continuous variable

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13
Q

is further categorized
into nominal and ordinal levels

A

categorial variables

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14
Q

_____ is any variable that represents
different types of data, which may be divided into
groups or categories. There is no intrinsic order;
hence, its frequencies can only be counted.
The examples are race, ethnicity, and hair color

A

nominal variables

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15
Q

is any variable that may also
be divided into groups or categories, but it has
intrinsic order or rank. Its frequencies can be
both counted and ranked in which the distance
between categories is not equivalent.

Some examples are year of graduation, brands
of bags, and food preference.

A

Ordinal Variables

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16
Q

is a variable that has a
numerical value. It can be counted and
ranked, and the differences between the
ranked categories are meaningful. There is no
true zero point.

A

interval variable

17
Q

is an interval value, but unlike
the interval variable, it has a true zero. It has
numerical value and meaning which can also
be counted, ranked, and has a meaningful
difference between values. There is a true
zero point, which means that nothing exists
for that variable and that zero simply means
none.

A

ratio variables