21 Feb We selected class studies to understand more about the different designs from like perceptions
The latest half a dozen subscales (we.age., storge, agape, mania, pragma, ludus and eros) measured because of the LAS were used just like the collection variables. As ideal because of the Gordon , we adopted a-two-action techniques inside the examining class teams. Earliest, i used SPSS software so you're able to perform hierarchical class analysis which have Ward's clustering method to dictate just how many groups. This technique suggested you to definitely a four-group solution try best suited to your data and identified five highest unambiguous organizations. The fresh variety of somebody when you look at the groups, conveyed because the fee, was in fact 25.2% (Party Good), twenty two.6% (Team B), 30.3% (Cluster C) and you may 21.9% (People D). Throughout the second step, to help you validate and you will interpret the latest profiles of your own brand-new party services, i conducted good K-function team analytic techniques using the same studies. According to the hierarchical people abilities, we given four clusters getting identified. The results revealed that the newest hierarchical group results as well as the K-means class findings had been extremely similar according to proportions of every party, showing this new validity of your own findings. The fresh new K-setting party studies results, for instance the number of players during the per team group and you can a good temporary breakdown of every group's love thoughts pattern, try exhibited in this post (get a hold of profile 1 in supporting recommendations S3 Appendix). Group An excellent-That it team classification try the greatest (28.8%). Users shown relatively higher scores into ludus (Yards = step three.02) and lower ratings with the agape (Yards = step three.08) and you will were described as “video game professionals”.