Table 3.
Distribution of participants to one of the two clusters, as a function of their self-described gamer identity.
Gamer Identity | Cluster 1: tolerate | Cluster 2: troubled | χ 2 | p |
---|---|---|---|---|
Casual gamers | 61 | 62 | 0.01 | 0.93 |
Competitive gamers | 142 | 183 | 5.17 | .02* |
Amateur athletes | 18 | 56 | 19.51 | .00000999*** |
Part-time professionals | 6 | 20 | 7.54 | .006** |
Full-time professionals | 1 | 11 | 8.33 | .001** |
Speedrunners | 4 | 4 | 0 | 1 |
All distributions were tested against equal distributions using the χ2 statistic. A significant χ2 test implies an unequal distribution of people between the two clusters for any given self-identified gamer type. For example, casual gamers are split 50/50 between the two clusters and thus the χ2 test is non-significant. However, full-time professionals overwhelmingly fall into the second cluster and thus the χ2 test is statistically significant. Note that the test outcome can be interpreted with more confidence if the underlying sample is larger.
= p < .05.
= p < .01.
= p < .001.