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. 2023 Sep 6;66(10):4066–4082. doi: 10.1044/2023_JSLHR-22-00548

Table 3.

Best-fitting model for acoustic, lexical, and multitasking demands on logRTs.

Fixed effects logRTs
Estimate SE t p
Intercept 5.33 0.06 89.83 < .001
SecondTask (Complex > Simple) 0.85 0.05 15.67 < .001
SNR (Harder > Easier) 0.04 0.03 1.40 .16
LogWdFreq (mean centered) 0.01 0.01 1.38 .17
SecondTask:SNR −0.02 0.04 −0.48 .63
SecondTask:LogWdFreq −0.03 0.01 −2.09 .04
SNR:LogWdFreq −0.04 0.01 −2.57 .01
SecondTask:SNR:LogWdFreq 0.04 0.02 2.10 .04

Random Effects

Variance

SD

Correlation
By-Word Intercepts < 0.01 0.05
By-Participant Intercepts 0.08 0.29
By-Participant SecondTask Slopes 0.06 0.25 −.87
Residual 0.10 0.32

Model fit

Marginal

Conditional

Pseudo-R2 0.53 0.69

Note. logRTs = log-transformed reaction times; SE = standard error; SNR = signal-to-noise ratio.