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genre-only syntactic models
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genre-only syntactic models
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# Supplementary materials for the article:
Nasseri, M. (2021). Is postgraduate English academic writing more clausal or phrasal? Syntactic complexification at the crossroads of genre, proficiency, and statistical modelling.
Journal of English for Academic Purposes. https://doi.org/10.1016/j.jeap.2020.100940
#mixed-effects models for the effect of rhetorical sections (labelled as 'genre') on the values of syntactic complexity measures
# Labels: Ab = Abstract, In= Introduction, Lr = literature review, Md = Method & design, Rd = Results & discussion, Cn= Conclusion rhetorical section
fac = factor
# Abstract sections are taken as the reference level in the mixed-effects models
--------------------------------------------------------------
C/T
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.03740 0.1934
Residual 0.04303 0.2074
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.699e+00 1.957e-02 6.054e+02 86.839 < 2e-16 ***
genre.facCn 1.960e-01 2.024e-02 1.050e+03 9.685 < 2e-16 ***
genre.facIn 5.531e-02 2.024e-02 1.050e+03 2.732 0.00639 **
genre.facLr 1.648e-01 2.024e-02 1.050e+03 8.140 1.11e-15 ***
genre.facMd 1.836e-03 2.024e-02 1.050e+03 0.091 0.92776
genre.facRd 1.681e-01 2.024e-02 1.050e+03 8.302 3.12e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
------------------------------------------------------------------
CT/T
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.007137 0.08448
Residual 0.011196 0.10581
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 4.622e-01 9.343e-03 7.168e+02 49.465 < 2e-16 ***
genre.facCn 5.904e-02 1.033e-02 1.050e+03 5.717 1.41e-08 ***
genre.facIn -4.267e-03 1.033e-02 1.050e+03 -0.413 0.67955
genre.facLr 4.777e-02 1.033e-02 1.050e+03 4.626 4.19e-06 ***
genre.facMd -4.853e-02 1.033e-02 1.050e+03 -4.700 2.95e-06 ***
genre.facRd 3.114e-02 1.033e-02 1.050e+03 3.016 0.00263 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
---------------------------------------------------------------------
DC/C
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.002970 0.05450
Residual 0.004481 0.06694
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 3.388e-01 5.956e-03 7.021e+02 56.887 < 2e-16 ***
genre.facCn 6.748e-02 6.533e-03 1.050e+03 10.330 < 2e-16 ***
genre.facIn 2.548e-02 6.533e-03 1.050e+03 3.900 0.000102 ***
genre.facLr 6.350e-02 6.533e-03 1.050e+03 9.720 < 2e-16 ***
genre.facMd -4.681e-04 6.533e-03 1.050e+03 -0.072 0.942889
genre.facRd 5.556e-02 6.533e-03 1.050e+03 8.505 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
--------------------------------------------------------------------
DC/T
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.03225 0.1796
Residual 0.03657 0.1912
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.61173 0.01810 600.58716 33.791 < 2e-16 ***
genre.facCn 0.18086 0.01866 1050.00000 9.691 < 2e-16 ***
genre.facIn 0.04684 0.01866 1050.00000 2.510 0.0122 *
genre.facLr 0.15234 0.01866 1050.00000 8.163 9.32e-16 ***
genre.facMd -0.02048 0.01866 1050.00000 -1.097 0.2728
genre.facRd 0.14298 0.01866 1050.00000 7.661 4.18e-14 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
---------------------------------------------------------------------
CP/C
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.01019 0.1010
Residual 0.01672 0.1293
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.48320 0.01132 733.76216 42.680 < 2e-16 ***
genre.facCn -0.08826 0.01262 1050.00001 -6.994 4.76e-12 ***
genre.facIn -0.02777 0.01262 1050.00001 -2.200 0.028 *
genre.facLr -0.05574 0.01262 1050.00001 -4.417 1.10e-05 ***
genre.facMd -0.09440 0.01262 1050.00001 -7.480 1.56e-13 ***
genre.facRd -0.15587 0.01262 1050.00001 -12.351 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
---------------------------------------------------------------------
CP/T
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.03207 0.1791
Residual 0.05080 0.2254
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.80378 0.01987 720.58150 40.462 < 2e-16 ***
genre.facCn -0.06680 0.02200 1050.00006 -3.037 0.00245 **
genre.facIn -0.01365 0.02200 1050.00006 -0.621 0.53492
genre.facLr -0.01659 0.02200 1050.00006 -0.754 0.45083
genre.facMd -0.14894 0.02200 1050.00006 -6.771 2.13e-11 ***
genre.facRd -0.19658 0.02200 1050.00006 -8.937 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
-------------------------------------------------------------------
CN/C
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.06242 0.2498
Residual 0.09365 0.3060
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 2.11240 0.02726 700.06100 77.486 < 2e-16 ***
genre.facCn -0.26112 0.02986 1050.00023 -8.744 < 2e-16 ***
genre.facIn -0.21041 0.02986 1050.00023 -7.045 3.34e-12 ***
genre.facLr -0.38605 0.02986 1050.00023 -12.927 < 2e-16 ***
genre.facMd -0.46349 0.02986 1050.00023 -15.520 < 2e-16 ***
genre.facRd -0.45303 0.02986 1050.00023 -15.169 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
------------------------------------------------------------------
CN/T
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.3180 0.5639
Residual 0.2764 0.5257
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 3.54076 0.05320 518.28501 66.552 < 2e-16 ***
genre.facCn -0.06063 0.05131 1050.00001 -1.182 0.238
genre.facIn -0.22713 0.05131 1050.00001 -4.427 1.06e-05 ***
genre.facLr -0.33085 0.05131 1050.00001 -6.448 1.72e-10 ***
genre.facMd -0.75324 0.05131 1050.00001 -14.681 < 2e-16 ***
genre.facRd -0.46134 0.05131 1050.00001 -8.992 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
----------------------------------------------------------------
VP/T
Random effects:
Groups Name Variance Std.Dev.
student (Intercept) 0.1140 0.3377
Residual 0.1235 0.3515
Number of obs: 1260, groups: student, 210
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 2.39129 0.03363 585.51599 71.100 < 2e-16 ***
genre.facCn 0.27427 0.03430 1050.00001 7.996 3.37e-15 ***
genre.facIn 0.02352 0.03430 1050.00001 0.686 0.49304
genre.facLr 0.09371 0.03430 1050.00001 2.732 0.00640 **
genre.facMd -0.11251 0.03430 1050.00001 -3.280 0.00107 **
genre.facRd 0.05861 0.03430 1050.00001 1.709 0.08779 .
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
-------------------------------------------------------------------