In Game as in Life? Linking Decision-making to Real-world Behavior
January/July, 2021
This website provides analysis code for the manuscript “In Game as in Life? Linking Decision-making to Real-world Behavior” by Mikael Rubin, Michael J. Telch, and Justin Dainer-Best.
Materials, R Markdown files with all R code, data, and some plots are included on the Open Science Framework at https://osf.io/42ueg/.
- An R Markdown-generated page which shows the steps for generating the networks in {BGGM} and their plots can be found here.
- A page with the Bayesian transition analyses in {BRMS} is here.
The final plots included in the paper are below, with a full legend for the Font Awesome icons.
Plots
Figure 1. A) The exploratory network plot for the relationships between game activities and real activities. B) The confirmatory network plot for the relationships between game activities and real activities.
Note. Solid lines show positive associations, dashed lines show negative associations. Faded lines show associations without sufficient evidence to support hypotheses. The width of the lines reflects the strengths of the associations. Node labels were generated using representative icons from Font Awesome For the most part these are fairly intuitive (e.g. the beer stein or martini glass reflect alcohol use; the smartphone reflects time spent on the phone). Highlighted nodes are those that were found to be central bridges between the game behaviors and the real-life behaviors in the exploratory analysis.
Figure 2. A) The exploratory network plot for the relationships between game activities and depression symptoms. B) The confirmatory network plot for the relationships between game activities and depression symptoms. C) The exploratory network plot for the relationships between real activities and depression symptoms. D) The confirmatory network plot for the relationships between real activities and depression symptoms.
Note. Solid lines show positive associations, dashed lines show negative associations, and line width represents the strengths of those associations. Node labels were generated using representative icons. Highlighted nodes are those that were found to be central bridges between the game/real-life behaviors and PHQ-8 symptoms in the exploratory analysis.
Legend
In game actions (green):
- : phone use
- : time on computer
- : alcohol use
- : TV use
- : in-game exercise
- : cooking
- : new hobby
- : old hobby
- : time spent
Real-life actions (orange):
- : home exercise
- : outdoor exercise
- : gym
- : cooking
- : volunteering
- : TV use
- : videogames
- : knitting
- : reading
- : new hobbies
- : drinking alcohol
- : marijuana use
- : other substance use
- : reassurance-seeking
- : social media use
- : yoga
- : writing
- : playing music
- : video calls with friends
- : working from home
- : working outside the home
PHQ-8 (lilac):
- PHQ-1: : Little interest or pleasure in doing things
- PHQ-2: : Feeling down, depressed, or hopeless
- PHQ-3: : Trouble falling or staying asleep, or sleeping too much
- PHQ-4: : Feeling tired or having little energy
- PHQ-5: : Poor appetite or overeating
- PHQ-6: : Feeling bad about yourself, or that you are a failure, or have let yourself or your family down
- PHQ-7: : Trouble concentrating on things, such as reading the newspaper or watching television
- PHQ-8: : Moving or speaking so slowly that other people could have noticed. Or the opposite - being so fidgety or restless that you have been moving around a lot more than usual