3. Simple linear regression Flashcards

1
Q

What is a recursive model?

A

A path diagram where all arrows go in one direction

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2
Q

What are two types of recursive models?

A

saturated

unsaturated

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3
Q

What does a saturated path model include?

A

All possible paths

Is not parsimonious (everything is explored - not simple)

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4
Q

What does a unsaturated path model include?

A

Only some causal paths

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5
Q

What are non-recursive models analysed using?

A

SEM
or
Two stage least squares regression

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6
Q

What is the difference between recursive and non-recursive models?

A
Recursive (successive)
Non Recursive (reciprocal)
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7
Q

What does it mean if Pearson r = 0?

A

No linear relationship

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8
Q

What does a large gap in a scattergram suggest?

A

2 different groups of scores

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9
Q

Calculation of Pearson r can be done on what sort of variables?

A

Interval
or
Dichotomous (point biserial correlation)

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10
Q

What is p hacking?

A

Using a one-tailed test to get a sig. result

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11
Q

What is the difference between correlation and regression?

A

Correlation: presence of relationship between X and Y (don’t know how much)
Regression: How much effect X has on Y

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12
Q

What is represented in an OLS regression?

A

the regression line (of best fit)

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13
Q

Which do you report out of r sq and adj r sq and why?

A

Adj R sq

It is a better estimate in population

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14
Q

What does the ANOVA table tell you?

A

The goodness of fit

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15
Q

SST is a sum of squared differences between the?

A

Observed values on DV
and
The mean

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16
Q

SSR is a sum of squared differences between the?

A

Observed values on DV
and
Predicted values on DV

17
Q

SSM is the difference between the?

A

SST
and
SSR

18
Q

SSM df?

A

k

19
Q

SSR df?

A

N - k - 1

20
Q

SST df?

A

N - 1