Correleational Analysis Flashcards

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1
Q

Define Correlational analysis

A

Is the measurement of the relationship between 2> co-variables

The illustrate the strength and direction of the correlation.

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2
Q

What is a positive correlation?

A

When 1 variable increases the other increases

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3
Q

What is a negative correlation?

A

As 1 variable increases the other decreases

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4
Q

What is a zero correlation

A

No relationship between variables

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5
Q

What is a correlational hypothesis

A

Its a prediction that states the expected relationship between 2 co variables

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6
Q

Correlational r_______ are identified and demonstrated through the use of s_________ t________.

A

Relationships

Statistical techniques

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7
Q

In correlational hypothesis the variables have to be o___________

A

Operationalised

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8
Q

What kind of data does CA rely on?

A

Quantitative

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9
Q

What 2 ways are correlational represented?

A
  • Scatter gram

- Correlation co efficient

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10
Q

Explain a scattergram and how to plot one

A
  • Visual representation of the C relationship

The scores are plotted on the graph where each variable are on each axis

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11
Q

Which direction does a strong/weak/no correlation on a scattergram go in?

A

S: Up to the right

W: Down to the right

N: Nothing

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12
Q

WHat is a correlation co-efficient

A

Numerals representation of the strength and direction of the relationship between 2 co variables

E.g
+1
0
-1

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13
Q

What does the number indicate?

A

The strength of the relationship

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14
Q

What does the sign indicate?

A

Wether its positive or negative

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15
Q

What does +0.9 mean as a correlation coffeciennt + why

A

Strong positive

Because the closer it is to 1 the stronger the correlation

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16
Q

What’s the diffrence between a correlation and an experiment

A

E: The IV is manipulated and measures a cause and effect relationship

C: No manipulation and does NOT show a cause and effect relationship

17
Q

What are some strengths of this method?

4

A
  • Useful as a primary tool / starting point
  • Provide a precise and quantifiable measure of how 2 variables are related
  • Practical and easy/ cheap / less time consuming
18
Q

What are some weaknesses

A

Doesn’t tell us why there is a relationship but only how

A 3rd variable - there could be an untested variable that is causing / effecting the relationship.

They can be misused, especially by the media as a cause and effect