表 5. 作文データにおける MDD の一般化線形混合モデル分析。.

R 言語の lme4::glmer 関数による。

	Gamma model	Lognormal model
(Intercept)	0.534 (0.022) ***	-0.153 (0.017) ***
log (length)	0.705 (0.014) ***	0.399 (0.009) ***
grade2	-0.080 (0.030) **	-0.123 (0.023) ***
grade3	-0.098 (0.030) ***	-0.051 (0.022) *
grade4	-0.080 (0.029) **	-0.023 (0.022)
grade5	-0.064 (0.028) *	-0.008 (0.022)
grade6	-0.030 (0.029)	0.005 (0.022)
grade7	0.012 (0.026)	0.065 (0.020) ***
grade8	0.057 (0.025) *	0.077 (0.020) ***
grade9	0.094 (0.026) ***	0.121 (0.020) ***
log (length) × grade2	0.049 (0.018) **	0.067 (0.011) ***
log (length) × grade3	0.067 (0.018) ***	0.033 (0.010) **
log (length) × grade4	0.070 (0.017) ***	0.025 (0.010) *
log (length) × grade5	0.046 (0.017) **	0.009 (0.010)
log (length) × grade6	0.024 (0.017)	0.000 (0.010)
log (length) × grade7	-0.005 (0.015)	-0.033 (0.009) ***
log (length) × grade8	-0.038 (0.015) *	-0.045 (0.009) ***
log (length) × grade9	-0.061 (0.015) ***	-0.068 (0.009) ***
SD (Intercept document_id)	0.085	0.063
SD (Observations)	0.226	0.445
Num.Obs.	76597	76597
R2 Marg.	0.715	0.175
R2 Cond.	0.750	0.191
AIC	81513.2	94971.3
BIC	81698.1	95156.3
ICC	0.1	0.0
RMSE	0.45	0.44

^*p < 0.05,

^**p < 0.01,

^***p < 0.001.