Correlation Flashcards

(16 cards)

1
Q

Define correlation

A

A type of non-experimental research where researchers try to determine the relationship between two variables, with little or no efforts to control extraneous variables

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2
Q

Correlation does not imply…

A

Causation

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3
Q

What two characteristics can we show with correlation

A

Direction and strength of the relationship

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4
Q

Positive correlation..

A

Two variables tend to move in the same direction

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5
Q

Negative correlation …

A

Two variables tend to move in opposite directions

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6
Q

What is the Covariance? what does it find?

A

A measure of how the two variables change together

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7
Q

What are the three steps to find the Covariance?

A
  1. For each participant subtract their value from the mean, for both variables, and multiply them together, giving one value for each participant
  2. Sum all the values created in step 1
  3. divided by number of observations - 1 (n-1)
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8
Q

What does Covariance number mean?

A

If the number is positive, so it the relationship

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9
Q

What are the problems with covariance?

A
  • The value of covariance can be large because of the units of measurement of the variables are large.
  • It is not necessarily that there is a strong relationship between the variables
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10
Q

What can we use instead of covariance?

A

Correlation coefficient

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11
Q

How do we find correlation coefficient?

A

Divide the covariance by the product of the standard deviations of both variables

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12
Q

How do we know strength and direction using correlation coefficient

A

direction = positive means positive, negative means negative
strength = closer to 1 on each end shows strength, closer to 1 (or -1) stronger it is

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13
Q

What is considered strong and weak

A

1 = perfect
0.9, 0.8, 0.7 = strong
o.6, 0.5, 0.4 = moderate
0.3, 0.2, 0.1 = weak
0 = zero

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14
Q

What does a directional hypothesis state in correlation

A

direction

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15
Q

What does a non-directional hypothesis state in correlation

A

That there is a relationship, could be either way

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