Correlations Flashcards

1
Q

what is correlational anaylsis

A

determine whether there is a significant linear relationship between 2 variables

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2
Q

what is a positive correlational analysis

A

as one variable increases so does the other

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3
Q

what is negative correlational analysis

A

as one variable increases, the other decreases

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4
Q

when you have 2 conditions, if the data is parametric, what correlation do you use

A

pearson

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5
Q

when you have 2 conditions, if the data is non-parametric, what correlation do you use

A

spearman

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6
Q

what are the 5 things you look out for with data

A
are there any obvious patterns
is the pattern what you predicted
do scores vary a lot
are there any anomalies
are scored clustered/spread out
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7
Q

what are 2 positives of using a correlation

A

shows a relationship

can make predictions from them

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8
Q

what is one negative of using a correlation

A

cannot draw conclusions

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9
Q

what 3 things does data have to have to make it parametric

A

interval/ratio scale
equality of homogeneity of variance
normal distribution

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10
Q

what are 3 positives of having parametric data

A

more powerful test
more likely to demonstrate of significant result
depends on parametric assumptions

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11
Q

what 3 things does data have to have to make it non-parametric

A

ordinal/nominal data
any variance
any distribution

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12
Q

what is a positive of having non parametric data

A

more tolerant of outsiders

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13
Q

what is a negative of having non parametric data

A

less powerful

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14
Q

what is a correlation coefficient

A

tells us the strength and direction of the relationship

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15
Q

during a correlation coefficient, what does the numbers go from

A

-1—–+1

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16
Q

in a correlation coefficient what does -1 mean

A

perfect negative corelation

17
Q

in a correlation coefficient what does +1 mean

A

perfect positive corrlation

18
Q

in a correlation coefficient what does 0 mean

A

no relationship

19
Q

what can r tell us about the correlation?

A

the direction of the relationship-showed by - and +

strength of the relationship

20
Q

what is a one tailed hypothesis

A

predicting the direction of the relationship

21
Q

what is a 2 tailed hypothesis

A

predicting a relationship with no direction

22
Q

what is the level of significance we accept

A

5%

0.05

23
Q

what degress of freedom do we do

A

N-2

24
Q

if r is larger than the critical value, then what do we do

A

the result is significant at p<0.5
we can be 95% certain the result did not happen by chance
we accept the experimental hypothesis and reject the null hypothesis

25
Q

if r is smaller than the critical value, then what do we do

A

the result is non-significant
we are not certain enough that the result didnt happen by chance
we have to reject the experimental hypothesis and accept the null hypothesis

26
Q

how do we write the formula for a significant result

A

r(degrees of freedom) =r value, p<0.05