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).
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).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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whats the effect size
is the test significant
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
Source
Type II Sum of
df
Mean Square
Sig.
Partial Eta
Squares
312.887
Squared
Corrected Model
Intercept
Condition
3
104.296
20.262
.000
448
3637.747
1
3637.747
706.725
.000
.904
312.887
3
104.296
20.262
.000
448
Error
386.050
75
5.147
Total
4295.000
79
Corrected Total
698.937
78
a. R Squared = .448 (Adjusted R Squared = 426)
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