我是线性混合效应建模的新手，我现在想知道如何从估计中得出结论：
Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: duration ~ condition + (1 | speaker) + (1 | trial) + (1 | word) + (1 | case)
Data: d
REML criterion at convergence: 14149.4
Scaled residuals:
Min 1Q Median 3Q Max
-2.6210 -0.6826 -0.1227 0.5676 7.0453
Random effects:
Groups Name Variance Std.Dev.
word (Intercept) 5796.979 76.138
speaker (Intercept) 1377.915 37.120
trial (Intercept) 4.838 2.200
case (Intercept) 10.842 3.293
Residual 3021.840 54.971
Number of obs: 1296, groups: word, 12; speaker, 9; trial, 3; case, 2
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 482.908 25.453 17.126 18.97 6.16e-13 ***
conditionb -26.233 3.054 1272.000 -8.59 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
在我的模型中，duration 是因变量，condition 是一个因子，条件是“a”或“b”，我想知道是否可以合理地得出在条件 b 下的结论持续时间较短，因为估计 -26.233 是负数？预先感谢您的帮助！