sansguidon/bookmarks
1
0
Fork 0
Code Issues 16 Pull Requests 1 Packages Projects 1 Releases Activity

fix board games motivation picture

Browse Source
This commit is contained in:
Morgan 2018-03-16 20:38:05 +01:00 committed by GitHub
parent 09a936300d
commit 2a587b7c44
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
tests/board_games_motivation_profile.md
View File

@ -3,7 +3,7 @@
## Low Conflict, Relaxed, Immersed, and Independent ## Low Conflict, Relaxed, Immersed, and Independent
Your profile consists of your percentile rank across a broad range of gaming motivations. Your scores are based on how strong your motivations are relative to other gamers. In this customized report, we’ll explain how to interpret these scores and what motivations we measured. Your profile consists of your percentile rank across a broad range of gaming motivations. Your scores are based on how strong your motivations are relative to other gamers. In this customized report, we’ll explain how to interpret these scores and what motivations we measured.
![board games motivation profilegamer motivation profile](primary_motivations.png) ![board games motivation profilegamer motivation profile](board_games_motivation.png)
### Preliminary Model of 4 Motivations Clusters ### Preliminary Model of 4 Motivations Clusters
We identified 4 clusters of motivations. In each, there is a primary component and one or more secondary components (i.e., a related modifier or addition). In general, motivations within the same cluster tend to be positively correlated — e.g., if you score high on the primary motivation, you are more likely to score high on the secondary ones. On the other hand, motivations between clusters tend to be statistically unrelated—i.e., they neither suppress or predict each other. We’ll walk you through all these motivations and components below. We identified 4 clusters of motivations. In each, there is a primary component and one or more secondary components (i.e., a related modifier or addition). In general, motivations within the same cluster tend to be positively correlated — e.g., if you score high on the primary motivation, you are more likely to score high on the secondary ones. On the other hand, motivations between clusters tend to be statistically unrelated—i.e., they neither suppress or predict each other. We’ll walk you through all these motivations and components below.