Final multilevel regression model (n = 4,706) predicting team identification and player identification from first and second level parameters (estimates of parameters with FLM)
| Model 4: Team identification | Model 4: Player identification | |
|---|---|---|
| Fixed effects | ||
| Constant | 4.090 (0.056)*** | 3.052 (0.063)*** |
| Level 1 | ||
| Sex (ref. male) | −0.105 (0.052)* | 0.184 (0.067)** |
| Age (ref. younger adults) | −0.104 (0.017)*** | −0.262 (0.022)*** |
| Team and player alignment (ref. favourite player is in favourite team) | −0.167 (0.018)*** | −0.340 (0.022)*** |
| Level 2 | ||
| European (Ref. European) | 0.076 (0.043) | 0.174 (0.049)** |
| Big five league (Ref big five league) | −0.006 (0.062) | 0.194 (0.071)* |
| Model 4: Team identification | Model 4: Player identification | |
|---|---|---|
| Constant | 4.090 (0.056)*** | 3.052 (0.063)*** |
| Sex (ref. male) | −0.105 (0.052)* | 0.184 (0.067)** |
| Age (ref. younger adults) | −0.104 (0.017)*** | −0.262 (0.022)*** |
| Team and player alignment (ref. favourite player is in favourite team) | −0.167 (0.018)*** | −0.340 (0.022)*** |
| European (Ref. European) | 0.076 (0.043) | 0.174 (0.049)** |
| Big five league (Ref big five league) | −0.006 (0.062) | 0.194 (0.071)* |
Note(s): *p ≤ 0.05, **p ≤ 0.01,***p ≤ 0.001; ρ null model = 2.4%
Source(s): Created by author
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