3: Multiple Regression + Path Models Flashcards

1
Q

What type of test prefers independent variables?

A

ANOVA.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What type of test can deal with correlated independent variables?

A

Multiple regression.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

True of false: Regression = causation.

A

False: causation is somewhat implied, but we cannot assume it or confirm it through regression.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Give 6 things that can undermine a regression.

A

Sample too small, outliers distorting the relationship(s), variables not normal, relationships not linear, heteroscedasticity of residuals and non-independence of residuals.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

When visualising regression in triangles, what does cosθ represent?

A

The overlapping variance.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What data can regression analysis solely rely on?

A

Correlation coefficients.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is standard multiple regression?

A

All IVs are entered at once and control for each other.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is sequential or hierarchical regression?

A

IVs are entered in a sequence so that early variables can be given priority in prediction of the DV.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is sequential or hierarchical regression most useful for?

A

Answering questions of additive value or effect of controls.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is statistical or stepwise regression?

A

Uses statistical criteria to enter or remove variables to try to get the smallest optimal mix of variables to predict the DV.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What does partial correlation control for?

A

The effect of a third variable on both other variables.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What does semi-partial correlation control for?

A

The unique contribution of a variable as a proportion of the total variance of the DV.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly