Table 6 Summary of the fittest (generalised) linear mixed-effects models.
From: Hong Kong Corpus of Chinese Sentence and Passage Reading
Models | log(FFD) | log(GD) | log(TRT) | PS | ||||
|---|---|---|---|---|---|---|---|---|
Predictors | Estimates | std. Error | Estimates | std. Error | Estimates | std. Error | Odds Ratios | std. Error |
(Intercept) | 5.38*** | 0.02 | 5.39*** | 0.02 | 5.58*** | 0.03 | 1.05 | 0.07 |
Fre.log | −0.01*** | 0 | −0.01* | 0.01 | −0.04*** | 0.01 | 1.17*** | 0.05 |
FreC2.log | −0.01** | 0 | −0.01** | 0 | −0.02** | 0.01 | −3 | — |
FreC1.log | −0.01* | 0 | −0.01* | 0 | — | — | — | — |
len.scaled | −0.01 | 0.01 | 0.04** | 0.01 | 0.08** | 0.03 | 0.50*** | 0.03 |
stro.scaled | — | — | — | — | −0.01** | 0 | — | — |
stroc2.scaled | — | — | 0 | 0 | — | — | 1.01 | 0.01 |
stroc1.scaled | — | — | — | — | 0 | 0 | 0.99 | 0.01 |
pix.scaled | — | — | 0.00*** | 0 | 0.00*** | 0 | — | — |
pixc1.scaled | 0.00*** | 0 | — | — | — | — | 1 | 0 |
pixc2.scaled | — | — | — | — | — | — | 1 | 0 |
len scaled * Fre.log | — | — | −0.02* | 0.01 | −0.02 | 0.02 | 1.08 | 0.09 |
Scenarios [S] | 0.05*** | 0 | 0.08*** | 0 | 0.25*** | 0 | 0.31*** | 0 |
Random Effects | ||||||||
σ2 | 0.13 | 0.17 | 0.32 | 3.29 | ||||
τ00 | 0.00Item | 0.01Item | 0.03Item | 0.44Item | ||||
0.01Subject | 0.01Subject | 0.03Subject | 0.23Subject | |||||
ICC | 0.08 | 0.1 | 0.15 | 0.17 | ||||
N | 98Subject | 98Subject | 98Subject | 98Subject | ||||
1734Item | 1739Item | 1739Item | 1739Item | |||||
Observations | 127557 | 315245 | 318655 | 526515 | ||||
Marginal | 0.006 | 0.016 | 0.051 | 0.093 | ||||
Conditional R2 | 0.084 | 0.114 | 0.192 | 0.246 | ||||
