214 (2) lecture 1 Flashcards

(22 cards)

1
Q

What do correlations tell you?

A

How 2 variables are related

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2
Q

What do scatterplots do?

A

Plot the values for each case on each variable using a single point

They tell you if the relationship is linear and in which direction

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3
Q

What does the gradient of the scatterplot show you?

A

The strength of the relationship, the stronger the relationship the more likely it will be signficant .

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4
Q

What do correlations range between?

A

0-1
1= strong
0= weak

correlation coefficients range from -1.00 and +1.00

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5
Q

How do you run a scatterplot in SPSS?

A
Graphs
Legacy Dialogues 
Scatter/Dot 
Simple scatter 
Define 
Enter variables into X and Y 
Ok
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6
Q

What are the two common types of correlation coefficients?

A

Spearman (non-parametric)

Pearson (parametric)

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7
Q

What is Spearman correlation?

A

Non-parametric
Computed on ranks
Depicts a monotonic relationship

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8
Q

What is a monotonic relationship?

A

X moves only in one direction (up or down) as y increases)

May/may not be linear

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9
Q

What is Pearson Product-Moment correlation?

A
Parametric 
Computed on raw values 
Very strict monotonicity 
Depicts linear relationships 
most commonly used
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10
Q

What does Pearson’s look at ?

A

The average of the sum of the cross-product of z scores .

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11
Q

When can z scores be used?

A

When variables have different metrics

- age (yrs) and problem solving (no. correct)

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12
Q

What do we need to remember about z scores?

A

they have the same mean (0) and SD (1) so we can compare non standard scores

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13
Q

How do you work out Z score

A

(original score- mean)/ SD

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14
Q

What is the pearson’s formula?

A

r xy = S(zx zy)/(N-1)

*means little

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15
Q

How do you use the pearson’s formula?

A
  1. Convert scores into z scores
  2. Find product of z-scores by multiplying each pair of z scores, Z (of X) X Z (of Y)
  3. Sum the products of Z
  4. Divide the sum of the products by the number of scores -1
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16
Q

What is coefficient of determination? r2

A

provides information on how much variance in one variable can be explained by variation in the other variable

The square of the correlation predicts the variance

17
Q

What is the coefficient of non-determination?

A

The amount of variation in one variable that is NOT explained by the variation in another variable .

18
Q

How is the coefficient of non-determination calculated?

19
Q

How do you test the significance of r?

A

The r value needs to be larger than the critical value for n-2

20
Q

How do you run a correlation in SPSS?

A
  • Variables in columns

Analyze
Correlate
Bivariate

21
Q

How do you report the results of a pearsons correlation?

A

r (df-2) = correlation, p> 0.01

22
Q

What factors distort correlations?

A

Outliers

Combining subgroups