Table 1 LMM for the robot as a task partner experiment.

From: Robots facilitate human language production

 

Est/Beta

SE

df

t

p

Fixed effects

Intercept

6.83

0.02

55.94

368.70

< 0.001

Naming condition

0.02

0.00

296.9

3.60

< 0.001

Ordinal position

0.02

0.00

10,080

11.61

< 0.001

Block

− 0.08

0.00

10,030

− 19.19

< 0.001

Naming condition × ordinal position

0.00

0.00

10,260

− 0.48

0.632

Naming condition × block

0.01

0.01

10,120

0.76

0.447

Ordinal position × block

− 0.01

0.00

10,120

− 1.61

0.108

Naming condition × ordinal position × block

0.00

0.01

9806

0.50

0.614

 

Variance

Std. Dev

   

Random effects

Item

Intercept

0.02

0.15

   

Naming condition

0.00

0.01

   

Subject

Intercept

0.01

0.10

   

Residual

0.05

0.23

   

Model fit

Log likelihood

251.3

Deviance

− 502.7

Model equation: log(naming latencies) ~ naming condition × ordinal position × block + (1 | subject) + (naming condition | item)

  1. Fixed-effect estimates, standard errors, degrees of freedom, t-values and p-values for the selected model of the Robot as a Task Partner Experiment’s analyses, as well as estimates of the variance and square root (standard deviations) of the random effect structure and goodness-of-fit statistics.
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