Variables Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

How are variables characterised?

A

They are based on two things:
1. The nature of the variable
2. The role of the variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

How are the roles of the variable characterised?

A
  1. Independent Variable
  2. Dependent Variable
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

How is the nature of the variable characterised?

A
  1. Qualitative
  2. Quantitative
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

How is qualitative characterised?

A
  1. Nominal
  2. Ordinal
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

How is Quantitative characterised?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

State the reason for the separation of quantitative and qualitative variables.

A

Different uses or methods

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Qualitative Variables

A

Names

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Nominal (Categorical)

A

no order

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Nominal example

A

gender, hair colour

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Ordinal

A

Clear order, order matters not the difference between values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Ordinal example

A

Pain score(1,2,3,4..8)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Quantitative variable

A

Numeric

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Interval

A

Does not have a true zero (Numerical values without a true zero point).
0 does not indicate a complete lack of the quantity being measured.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Interval example

A

temperature (0 degrees)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Ratio

A

same as an interval but HAS AN ABSOLUTE ZERO

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Ratio example

A

Height, weight

17
Q

Discrete

A

variable that is counted (only whole numbers)

18
Q

Discrete example

A

Number of rooms, dice numbers

19
Q

Continuous

A

can take any number between the minimum and maximum value.

20
Q

Continuous example

A

Age, decimals,

21
Q

Independent variable

A

-factor that can be changed or manipulated
-does not depend on the other variable

22
Q

Names for independent

A

-x axis
-before
-CAUSE
-input
-What to do

23
Q

Dependent variable

A

-factor that will change as a result of the independent variable
-value depends on the independent variable

24
Q

Names for dependent

A

-effect
-RESPONSE
-outcome
-output
-after
-y axis
-what happens

25
Q

Controlled variable

A

Factors that are unchanged in the experiement

26
Q
A