The Relationship Between the Use of Fillers and Japanese Proficiency: Focusing on OPI Level Assessment

This text file contains the R code used to refit the CLMM after excluding non-significant fillers, along with the corresponding output for the minimal model. S7 Data.    Analytic dataset for minimal model. S8 Code.   R code for likelihood ratio tests (with output). This text file contains the R code used to conduct likelihood ratio tests comparing the full model (reported in Tables 4 and 5) against the null model and the minimal model, along with the corresponding output. S9 Data.    Analytic dataset for Table 6. S10 Code.   R code for the CLMM analysis in Table 6 (with output).

This text file contains the R code used for the CLMM analysis presented in Table 6, along with the corresponding output. S11 Code.   R code for VIF calculation for Table 6 with output. This file contains the R code and output for the VIF calculation corresponding to the model reported in Table 6. S12 Code.   R code for likelihood ratio test comparing the Table 6 model and the minimal model (with output).

This text file contains the R code used to conduct the likelihood ratio test between the CLMM model reported in Table 6 and the minimal model, along with the corresponding output. S13 Fig 1.    Conceptual framework of the relationship between filler use and oral proficiency (corresponding to Fig 1 in the main text). S14 Fig 2.    Corresponding to Fig 2 in the main text. S15 Data.    Underlying data for Fig 2. S16 Fig 3.    Corresponding to Fig 3 in the main text.