Lesson 2 - Kinds of Variables Flashcards

1
Q

A measurable characteristic,
image, perception, or concept,
capable of taking on different
values.

A

variable

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2
Q

Anything that may assume varied
numerical, categorical, or
experimental values.

A

variable

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3
Q

Anything that can VARY

A

variable

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4
Q

needed to understand
differences; they can affect or
change the results of a study

A

variable

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5
Q

Variables with values that describe a Measurable Numerical Quantity.

A

Numeric Classification

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6
Q

only take a finite number of numerical values and

assume any whole value from the defined limits of the variable.

A

Discrete Variables/integer variables

ex. class attendance, no. of children

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7
Q

Variables that can take infinite numbers on

the value that can occur within a population

A

Continuous Variables

ex. age, height, temperature

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8
Q

continuous: differences between two values

depict a meaning; has no clear definition of zero

A

Interval Variables

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9
Q

continuous: has a clear definition of zero, which

indicates that there is none of that variable

A

Ratio Variable

ex. weight, height, distance

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10
Q

Variables with values that describe a Quality or Characteristic of a data unit

A

Categorical Classification

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11
Q

A variable that has two or more categories

which can be organized and ranked.

A

Ordinal Variables

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12
Q

Variables with no quantitative value; does not imply ordering of cases for it is for classification and identification only

A

Nominal Variables

ex. (Learning styles, Language spoken, eye color,
blood type, business type, plate numbers, or religion)

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13
Q

Variables that represent only two categories

A

Dichotomous Variables

ex. true/false

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14
Q

Variable that have many categories

A

Polychotomous Variables

ex. performance level

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15
Q

Variables that determine Causal relationships

A

Experimental Classification

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16
Q

The variable that causes changes in another variable,
responsible for the conditions that act on something else to bring about changes; usually manipulated in an
experiment.

A

Independent Variables

“Causal/Cause Variable”

17
Q

Variables that Change because of another variable; the one being manipulated by the independent
variable, which are monitored in experiments.

A

Dependent Variables

“Effect/Outcome”