Models overview
| Model 1 | This is a one-level model. This model assumes that all variance is situated at one level. Its main purpose is to interpret the fit of the intercept model |
| Model 2 | This is an intercept model, also referred to as empty model or two- level null model. This model has no level one or level two predictors, it solely differs from the previous model with the addition of the intercept. If the fit is significantly better, multilevel analyses are needed and variance on first (individual) and second (country) level can be explained by the different predictors. When significant, this intercept model will function as a benchmark for comparing the other models |
| Model 3 | A model including all individual predictors. This model assesses the effect of individual predictors on fan loyalty. Individual predictors were entered in the model in three sequential steps: first, the sociodemographic variables age and gender (model 3A); second, favourite player and team alignment (model 3B) and third, team and player identification (model 3C) |
| Model 4 | A model including all second level variables respondents: European vs non-European countries and big-five league countries vs Non-big-five league countries |
| Model 1 | This is a one-level model. This model assumes that all variance is situated at one level. Its main purpose is to interpret the fit of the intercept model |
| Model 2 | This is an intercept model, also referred to as empty model or two- level null model. This model has no level one or level two predictors, it solely differs from the previous model with the addition of the intercept. If the fit is significantly better, multilevel analyses are needed and variance on first (individual) and second (country) level can be explained by the different predictors. When significant, this intercept model will function as a benchmark for comparing the other models |
| Model 3 | A model including all individual predictors. This model assesses the effect of individual predictors on fan loyalty. Individual predictors were entered in the model in three sequential steps: first, the sociodemographic variables age and gender (model 3A); second, favourite player and team alignment (model 3B) and third, team and player identification (model 3C) |
| Model 4 | A model including all second level variables respondents: European vs non-European countries and big-five league countries vs Non-big-five league countries |
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