Final session 12b Flashcards

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1
Q

If our multiple regression analysis yields several t-tests, should we be concerned about Type I errors?

A

It is possible that the overall model is NOT significant, but some regression coefficients are
It is recommended that the overall model is a significant predictor of the DV before you interpret the results of individual coefficients (i.e., F-test for the model is significant)
In this way, there is at least some protection against Type I errors

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2
Q

Why/how is R2adj used for model selection?

A

R2 always increases if we add predictors
R2adj may decrease if new predictors don’t help predict the DV very much
R2adj will aid in picking a parsimonious model
Pick the model that has the highest R2adj

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3
Q

Multiple regression can use what IVs

A

both continuous and categorical

ANOVA is a special case of multiple regression with categorical IVs With one categorical IV → one-way ANOVA
With two categorical IVs and their interaction → two-way ANOVA

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4
Q

When categorical IVs are used in multiple regression what is then used

A

some categorical coding scheme is used

For a categorical IV with k levels, k − 1 variables must be used to represent the IV

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5
Q

what are Some coding schemes

A

Deviation coding -

Dummy coding - mean Helmert coding -

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6
Q

explain Deviation coding

A

compares group means to the grand mean

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7
Q

explain Dummy coding

A

compares group means to a reference group’s

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8
Q

explain Helmert coding

A

compares mean of a group to mean of later groups in coding scheme (requires the groups are in some kind of order)

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9
Q

what will we focus o in this class for coding

A

dummy coding

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10
Q

The k − 1 dummy codes have what to represent group membership

A

0’s and 1’s

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11
Q

what is the Reference group in dummy coding

A

Has 0’s on all dummy codes
Often times a control group
The means of the other groups are compared to the reference group

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12
Q

what are the Dummy coding steps

A

Step 1: Create k − 1 new variables
Step 2: Choose one of the groups to serve as the reference group
Step 3: Assign 0’s to the reference group for all dummy codes
Step4: For the jth dummy code (j=1,…,k−1), assigna 1 to the jth group. Assign all other groups 0 for the variable. And repeat Step 4 as necessary.

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13
Q

explain Step 1 - create new variables

A

Group is original variable Suppose k = 3

k − 1 = 2 Dummy codes X1 and X2

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14
Q

explain Step 2 and 3. Designate reference group and use 0’s for that group

A

Group is original variable Suppose k = 3

k − 1 = 2 Dummy codes X1 and X2

Group 1 is the reference group

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15
Q

explain Step 4. Finish coding for X1.

A

Group is original variable
Suppose k = 3

k − 1 = 2 Dummy codes
X1 and X2

Group 1 is the reference group

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16
Q

explain Step 4. Finish coding for X2.

A

group is original variable,
supposed k = 3

k-1 = 2 dummy codes
X1 and X2

Group 1 is reference grop

17
Q

The dummy codes are then used as what

A

predictors in multiple regression:

Yˆ =b0 +b1X1 +b2X2 +···+bk−1Xk−1

18
Q

(dummy coding interpretation) In our regression line. . .

A
The intercept (b0) represents the mean of the reference group
The other regression coefficients represent the difference between the mean of the reference group and the group that has a “1” for the corresponding dummy code