Lecture 8 Flashcards

1
Q

Which variable goes on which axis?

A

IV on X axis

DV on Y axis

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2
Q

What do correlations look for?

A
  • If two variables co-vary/ co-relate? Or does y vary as a function of X? If so what strength is the relationshiP?
  • Do they move in same direction? or opposite directions?
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3
Q

How do you make a scatter plot in SPSS?

A

Graphs - legacy dialogs - scatter/ dot - select simple scatter - enter variables - ok

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4
Q

Define co-variance

A

The degree to which 2 variables vary together (in same/ opposite way). Basically the level/ strength of the relationship

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5
Q

What is mean by ‘scaling the co-variance?’

A

Standardising the covariance so it is between -1 and +1

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6
Q

What does the distance ‘r’ must be from 0 to be a significant correlation depend on? (calculated by SPSS)

A

Sample size

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7
Q

What does scaling the covariance give you?

A

Correlation coefficient, Pearson’s R. Pearsons product moment correlation coefficient ‘p’

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8
Q

What were Cohen (1988)’s boundaries for correlation strengths?

A

Small: 0.1 - 0.29
Medium: 0.3 - 0.49
Large: 0.5 - 1

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9
Q

How do you work out the significance of a correlation on SPSS?

A

Analyse - correlate - bivariate - add variables - select pearson - must be less then 0.05 to be significant

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10
Q

What is the regression line?

A

It’s a straight line - average plot direction.

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11
Q

What does the regression line allow us to predict?

A

Enables us to predict y from X

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12
Q

What is the regression equation?

A

Predicted value of Y = bX+a
B = steepness of regression line
A = y-intercept, value of y when x=0

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13
Q

What would r = 0 mean?

A

There is no evidence of a linear relationship between x and Y? Doesnt mean there is no relationship!

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14
Q

Even if there is a correlation? What doesnt it tell us?

A

Which variable causes the other? Or if an EV causes the relationship

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15
Q

How do you calculate the regression line in SPSS?

A

Double click scatterplot - chart editor opens - used ‘Add fit at total button’ - select linear

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