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Researchers examined whether playing motion-sensing versus non- motion sensing games would affect hostility. Participants were randomly assigned to one of four conditions:

Researchers examined whether playing motion-sensing versus non- motion sensing games would affect hostility. Participants were randomly assigned to one of four conditions:

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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What is the effect size rounded to two decimals?

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 could be completed as hit or hat). Tests of Between-Subjects Effects Dependent Variable: number of aggressive words Source Type III Sum of df Mean Square Sig. Partial Eta Squares Squared Corrected Model Intercept Condition Error Total Corrected Total a. R Squared = 448 (Adjusted R Squared = 426) 312.887 3 104.296 20.262 .000 448 3637.747 1 3637.747 706.725 .000 904 312.887 3 104.296 20.262 .000 448 386.050 75 5.147 4295.000 79 698.937 78
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 could be completed as hit or hat). Tests of Between-Subjects Effects Dependent Variable: number of aggressive words Source Type III Sum of df Mean Square Sig. Partial Eta Squares Squared Corrected Model Intercept Condition Error Total Corrected Total a. R Squared = 448 (Adjusted R Squared = 426) 312.887 3 104.296 20.262 .000 448 3637.747 1 3637.747 706.725 .000 904 312.887 3 104.296 20.262 .000 448 386.050 75 5.147 4295.000 79 698.937 78
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