Table 1.
The fit of the statistical linear mixed effect models to the data
| Model | Fixed | Random | 2-log- likelihood | Number of parameters | Increase in parameters | 2-log- likelihood | P value |
|---|---|---|---|---|---|---|---|
| m1 | M | – | 11187.543 | 2 | — | — | — |
| m2 | m1 | P | 10683.365 | 3 | 1 | 504.178 | 0.000 |
| m3 A | m2+ S | 2 | 10253.007 | 4 | 1 | 430.358 | 0.000 |
| B | m2+ C | 2 | 10667.032 | 4 | 1 | 16.333 | 0.000 |
| C | m2+ L | 2 | 10679.104 | 4 | 1 | 4.261 | 0.039 |
| m2+ S + C + L | 2 | 10236.427 | 6 | 3 | 446.938 | 0.000 | |
| m4 A | m3 | 3+ S(P) | 10010.734 | 7 | 1 | 225.693 | 0.000 |
| B | m3 | 3+ C(P) | 10235.461 | 7 | 1 | 0.966 | 0.326 |
| C | m3 | 3+ L(P) | 10236.427 | 7 | 1 | 0 | 1 |
| m5 A | m4A+ L × C | 4A | 10008.639 | 8 | 1 | 2.095 | 0.148 |
| B | m4A+ S × C | 4A | 10010.683 | 8 | 1 | 0.051 | 0.821 |
| C | m4A+ L × S | 4A | 10008.666 | 8 | 1 | 2.068 | 0.150 |
Each model includes one extra factor with respect to the previous model, and the effect of this factor on the fit is established by comparing it to the fit of a simpler model that does not include this factor of interest. For each model the 2-log-likelihood, the modelled factors and the total number of parameters are presented, as well as the difference in number of parameters and difference in 2-log-likelihood compared to the simpler model. The P values represent the significance of the present model compared to the simpler model. The abbreviations used are: M = mean, P = persons, S = complexity (number of bars), C = colour, L = luminance.