You have randomly assigned n = 28 participants into 4 groups using a balanced factorial design ( each into the two different levels of the first factor, say treatment vs. control; and % each into the two different levels of the second factor, say meeting with doctor vs. meeting with nurse pracitioner). You have created dummy variables for each of these factors, and this designs result in the variable assignments as presented in the table below Factor1 Factor2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 This exercise is to demonstrate that only balanced designs avoid issues of multicollinearity. First, calculate the corelation between the two dummy variables (for all of the data): Now, we will assume that one of the participants from the first group (the group encoded (0, 0)) dropped out of the study. Recalcluate the correlation between the remaining data: Repeat the same but assume 2 participants from the first group dropped, and recalculate the correlation: Repeat the same but assume 3 participants from the first group dropped, and recalculate the correlation: Repeat the same but assume all but 1 of the participants from the first group dropped, and recalculate the correlation: T5 =

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
You have randomly assigned n = 28 participants into 4 groups using a balanced factorial design (V: each
into the two different levels of the first factor, say treatment vs. control; and ½ each into the two
different levels of the second factor, say meeting with doctor vs. meeting with nurse pracitioner). You
have created dummy variables for each of these factors, and this designs result in the variable assignments
as presented in the table below
Factor1
Factor2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
This exercise is to demonstrate that only balanced designs avoid issues of multicollinearity.
First, calculate the correlation between the two dummy variables (for all of the data):
Ti =
Now, we will assume that one of the participants from the first group (the group encoded (0, 0)) dropped
out of the study. Recalcluate the correlation between the remaining data:
Repeat the same but assume 2 participants from the first group dropped, and recalculate the correlation:
T3 =
Repeat the same but assume 3 participants from the first group dropped, and recalculate the correlation:
Repeat the same but assume all but 1 of the participants from the first group dropped, and recalculate the
correlation:
T5
Transcribed Image Text:You have randomly assigned n = 28 participants into 4 groups using a balanced factorial design (V: each into the two different levels of the first factor, say treatment vs. control; and ½ each into the two different levels of the second factor, say meeting with doctor vs. meeting with nurse pracitioner). You have created dummy variables for each of these factors, and this designs result in the variable assignments as presented in the table below Factor1 Factor2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 This exercise is to demonstrate that only balanced designs avoid issues of multicollinearity. First, calculate the correlation between the two dummy variables (for all of the data): Ti = Now, we will assume that one of the participants from the first group (the group encoded (0, 0)) dropped out of the study. Recalcluate the correlation between the remaining data: Repeat the same but assume 2 participants from the first group dropped, and recalculate the correlation: T3 = Repeat the same but assume 3 participants from the first group dropped, and recalculate the correlation: Repeat the same but assume all but 1 of the participants from the first group dropped, and recalculate the correlation: T5
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman