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. Author manuscript; available in PMC: 2021 Jun 1.
Published in final edited form as: J Exp Psychol Learn Mem Cogn. 2019 Oct 3;46(6):1022–1047. doi: 10.1037/xlm0000770

Table 12.

Estimated coefficients from the mixed model of BX efficiency on picture naming accuracy

Fixed effects Estimate SE z-values p Lower Upper

(Intercept) 4.62 0.26 17.90 < 0.001 4.12 5.13
Frequency 1.40 0.18 7.75 < 0.001 1.05 1.76
Language −2.91 0.47 −6.22 < 0.001 −3.83 −2.00
Varied −0.52 0.26 −1.99 0.046 −1.02 −0.01
Integrated 0.18 0.30 0.60 0.549 −0.41 0.77
BX efficiency 0.26 0.11 2.47 0.014 0.05 0.47
Varied*Language 2.64 0.47 5.66 < 0.001 1.73 3.56
Integrated*Language 1.79 0.51 3.53 < 0.001 0.79 2.78
Language*BX efficiency −0.01 0.23 −0.06 0.954 −0.47 0.44
Varied*BX efficiency −0.31 0.17 −1.93 0.054 −0.64 0.01
Integrated*BX efficiency −0.41 0.17 −2.34 0.019 −0.75 −0.07
Varied*Language*BX efficiency 0.36 0.38 0.94 0.346 −0.39 1.12
Integrated*Language*BX efficiency 0.19 0.38 0.50 0.617 −0.56 0.94

Random effects Variance SD Correlation

Intercept | item 2.0838 1.44
Varied | item 0.6401 0.80 −0.14
Integrated | item 1.2355 1.11 −0.08 0.84
Intercept | participant 0.2289 0.48
Language | participant 1.2961 1.14 0.00

Notes. The separated-context bilingual group was set as the reference level. Intercept represents mean naming accuracy (in log odds) for separated-context bilinguals with an average frequency effect and an average BX efficiency score.