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. 2018 Jul 6;13(7):e0199893. doi: 10.1371/journal.pone.0199893

Table 2. Results of separate linear mixed effects regression models examining effects of activity type on each of language experiences.

Fixed effects Random effects Chi-square test of model fit with and without effect of interest
Model outcome Model Parameter B SE t Variance SD X2 df p
Peer vocalizations Activity type .15 .02 9.27 85.33 1 < .00001
Sex .004 .05 .08 .008 1 .928
Age .0006 .00007 7.71 57.53 1 < .00001
Subject intercept .005 .07 30.54 1 < .00001
Child vocalizations Activity type .06 .01 4.33 18.71 1 < .00001
Sex -.07 .05 -1.29 1.83 1 .177
Age .0001 .00007 1.92 3.77 1 .052
Subject intercept .007 .09 128.28 1 < .00001
Adult vocalizations Activity type .45 .03 17.61 302.05 1 < .00001
Sex -.10 .06 -1.58 2.71 1 .10
Age .0005 .0001 4.47 19.04 1 < .00001
Subject intercept .009 .10 27.55 1 < .00001
Turn taking Activity type .21 .01 21.48 444.83 1 < .00001
Sex -.09 .04 -2.18 4.70 1 .030
Age .0001 .00005 2.65 7.02 1 .008
Subject intercept .004 .0627 157.66 1 < .00001
Overlap Activity type .06 .02 2.27 5.15 1 .023
Sex -.02 .02 -.68 .46 1 .497
Age -.00003 .0008 -.33 .11 1 .74
Subject intercept 1.6e-15 4e-8 0 1 1

Note. 5 models are shown. Chi-square tests contrast models with and without the fixed effect of interest (with all other fixed effects present). Results indicate the robust effect of activity type (structured versus unstructured) on peer vocalizations, child vocalizations, adult vocalization, turn-taking, and vocalization overlap. Family wise alpha = .01.