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. Author manuscript; available in PMC: 2023 Sep 5.
Published in final edited form as: Child Dev. 2022 Dec 1;94(2):478–496. doi: 10.1111/cdev.13872

Table 2.

Summary of mixed effects regressions predicting child noun types and tokens. Outliers (>3SDs) were excluded from analysis. The interaction of child gender and age improves model fit for noun types, but not for noun token

Noun types Noun tokens
Model 1 Model 2 Model 3 Model 4 Model 5 Model 6
(Intercept) 0.91 (0.07) *** 0.83 (0.08) *** 1.09 (0.10) *** 1.46 (0.12) *** 1.37 (0.13) *** 1.67 (0.17) ***
Age in mos. 0.10 (0.00) *** 0.10 (0.00) *** 0.12 (0.01) *** 0.15 (0.01) *** 0.15 (0.01) *** 0.18 (0.01) ***
Gender 0.15 (0.07) * 0.35 (0.14) ** −0.17 (0.11) 0.40 (0.23)
Age*gender 0.04 (0.01) *** 0.04 (0.02) **
AIC 98.94 99.68 91.08 516.95 519.26 519.97
BIC 114.86 119.58 114.97 532.87 539.17 543.86
Log Likelihood −45.47 −44.84 −39.54 −254.47 −254.63 −253.99
Num. obs. 396 396 396 396 396 396
Num. groups: subj 44 44 44 44 44 44
Var: subj (Intercept) 0.05 0.05 0.05 0.12 0.11 0.11
Var: Residual 0.06 0.06 0.05 0.17 0.17 0.16