Skip to main content
. Author manuscript; available in PMC: 2021 Mar 1.
Published in final edited form as: J Clin Exp Neuropsychol. 2019 Dec 13;42(2):171–184. doi: 10.1080/13803395.2019.1699503

Table 3.

Logistic mixed effects model results for analysis of behavioral data

Fixed Effects Est. SE z statistic p-value
(Intercept) 0.32 0.14 2.37 0.018
Mention [First mentioned = −0.5, second mentioned = 0.5] −3.67 0.12 −29.62 < 0.001
Repetition [No repetition = −0.5, repetition = 0.5] −0.21 0.12 −1.72 0.086
Group [Patients = −0.67, Comparisons = 0.33] −9.46 0.28 −1.62 0.105
Mention*Repetition −1.64 0.24 −6.77 < 0.001
Mention*Group −2.73 0.23 −12.02 < 0.001
Repetition*Group 0.20 0.22 0.88 0.378
Mention*Repetition*Group −2.82 0.45 −6.32 < 0.001
Random Effects Variance SD  
Participant (Intercept) 0.18 0.42
Observations: 3031; Participants: 12

Note. The dependent measure is a binary measure of whether the participant responded that the story did (1) or did not (0) match the picture. Bolded values indicate statistically significant results. Contrast codes for fixed effects reported in brackets.