Capturing multiple interaction effects in L1 and L2 object-naming reaction times in healthy bilinguals: a mixed-effects multiple regression analysis

Table 3 Analysis 1 (L1 and L2 combined): final model fixed effects

Terms	Estimate	Std. error	T-obt	95% CI lower	95% CI upper	K&R df	p-value	Sign.
Intercept	9.409E−04	2.840E−05	33.125	8.868E−04	9.961E−04	29	< 2e−16	***
Run Num (run 2)	1.467E−04	1.631E−05	8.991	1.137E−04	1.781E−04	3405	< 2e−16	***
Trial_number	− 5.155E−07	8.845E−08	− 5.827	− 6.879E−07	− 3.442E−07	3425	6.17E−09	***
First PhonemeDiff (diff)	− 4.571E−05	6.413E−06	− 7.113	− 5.825E−05	−3.313E−05	3399	1.37E−12	***
langStatus (L2)	− 2.117E−05	1.342E−05	− 1.578	− 4.781E−05	5.302E−06	3361	0.1147
log10WF	3.331E−05	7.882E−06	4.225	1.762E−05	4.897E−05	216	3.52E−05	***
langStatus (L2)*log10WF	2.148E−05	5.818E−06	3.692	1.005E−05	3.284E−05	3361	2.26E−04	***
Run Num (run 2)*log10WF	− 2.257E−05	5.883E−06	− 3.837	− 3.401E−05	− 1.104E−05	3389	1.27E−04	***
Run Num (run 2)*trialNum	− 4.414E−07	1.495E−07	− 2.951	− 7.249E−07	−1.403E−07	3418	0.0032	**

This table provides an overview reflecting the final statistical model used for the comparison of the first language (L1) and second language (L2). In the table, the name of the subgroup in parentheses is the subgroup to which the regression slope is calculated as the change from the other subgroup. A pair of factors of an interaction term is ordered in a way that the coefficient estimated for the interaction term is used to adjust the coefficient of the second factor for the first factor’s second subgroup

ISSN: 1471-2202