Current Issue: Vol. 7-1 (03/09/2009)
 
 

 

 

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DRAVEN: HOSTILE ARSENAL`Crusade GUARDIANS PierceTheVeins Fenris Mastermind Vengeance LEGION ELITE Imperial SUPERIOR Descendants REVENGE AllStars CONQUEROR CONQUEST Renegades Celestial Beings Enrage ... [go]

Ashraf Ahmed : real-world context can be inserted into a virtual world, effectively turning the virtual world into a forum for real-world contexts. ... [go]

Roflmaodoodoodadoodoo: I didn't get it from the generator, but I saw it in Arathi Basin and thought it was the best ... [go]

Keesha: In awe of that aneswr! Really cool! ... [go]

Bobbo: This does look promising. I'll keep cmoing back for more. ... [go]

 

 


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Problematic Usage


The survey data presented here sheds light on these two questions: 1) What about MMORPGs and their players lead to problematic usage? and 2) Is there a dominant pathway to problematic usage? And I have another trick up my sleeve. I can answer these two questions without ever having to categorize players as problematic users or not. Here's what I did. I drew from existing measures of online problematic usage that centered on dependence, withdrawal and negative impact on real life obligations and relationships. The survey items used were:
• Do you spend more time than you think you should playing the game?
• How difficult would it be for you to limit your playing time?
• How agitated do you get if the servers go down unexpectedly?
• How often do your friends or family members complain about your game play behavior?
• Has your work/school performance suffered because of your game play?
• How much of your happiness in life currently is derived from playing the game?
• Have your personal relationships suffered because of your game-play?
A factor analysis showed that all these items loaded onto a single factor implying that they are measuring the same underlying construct. A problematic usage score was calculated for every respondent based on a weighted sum of their responses to the items. I then ran a multiple regression with the motivation components, gender, age and hours played per week as the predictors. The multiple regression was significant at p < .001 with an adjusted R-square of .33 (a good model with strong predictors). The best predictor of problematic usage was the escapism subcomponent (Beta = .31, p < .001), followed by hours played per week (Beta = .27, p < .001) and then the advancement subcomponent (Beta = .18, p < .001).

 
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