Researchers examined whether playing motion-sensing versus non-motion sensing games would affect hostility. Participants were randomly assigned to
Researchers examined whether playing motion-sensing versus non-motion sensing games would affect hostility. Participants were randomly assigned to
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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whats the effect size
![Researchers examined whether playing
motion-sensing versus non-motion
sensing games would affect hostility.
Participants were randomly assigned to
one of four conditions: motion aggressive
game (boxing), motion non-aggressive
game (rafting), non-motion aggressive
game (boxing/control), and non-motion
non-aggressive game (uno/control).
Participants played the game and were
then asked to fill in a 20-item word
fragment task (for example, the word
fragment h__t could be completed as hit
or hat).
Tests of Between-Subjects Effects
Dependent Variable: number of aggressive words
Type III Sum of
Squares
312.887
Source
df
Mean Square
F
Sig.
Partial Eta
Squared
Corrected Model
Intercept
3
104.296
20.262
.000
448
3637.747
1
3637.747
706.725
.000
.904
Condition
312.887
3
104.296
20.262
.000
448
Error
386.050
75
5.147
Total
Corrected Total
4295.000
79
698.937
78
a. R Squared = 448 (Adjusted R Squared = 426)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8cc2c205-f8b7-45c3-949b-dd290aec15ed%2F26c8a8f7-bfb2-4cb0-9835-9c9858050c3a%2F3l84zy_processed.png&w=3840&q=75)
Transcribed Image Text:Researchers examined whether playing
motion-sensing versus non-motion
sensing games would affect hostility.
Participants were randomly assigned to
one of four conditions: motion aggressive
game (boxing), motion non-aggressive
game (rafting), non-motion aggressive
game (boxing/control), and non-motion
non-aggressive game (uno/control).
Participants played the game and were
then asked to fill in a 20-item word
fragment task (for example, the word
fragment h__t could be completed as hit
or hat).
Tests of Between-Subjects Effects
Dependent Variable: number of aggressive words
Type III Sum of
Squares
312.887
Source
df
Mean Square
F
Sig.
Partial Eta
Squared
Corrected Model
Intercept
3
104.296
20.262
.000
448
3637.747
1
3637.747
706.725
.000
.904
Condition
312.887
3
104.296
20.262
.000
448
Error
386.050
75
5.147
Total
Corrected Total
4295.000
79
698.937
78
a. R Squared = 448 (Adjusted R Squared = 426)
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