Appendix 1—table 3. Mixed effects models on parameters of the computational model.

Name	Estimate	SE	t-Stat	DF	p-Value	Lower CI	Upper CI
MFCA for ghost-nominated vs. ghost-rejected and informative vs. non-informativeMFCA ~ NOM*INFO*DRUG*ORDER + (NOM*INFO*DRUG + ORDER | PART)
(Intercept)	0.18	0.02	7.60	480	0.000	0.14	0.23
NOM (nomination)	0.10	0.03	3.72	480	0.000	0.05	0.15
INFO (informativeness)	0.08	0.04	2.19	480	0.029	0.01	0.15
DRUG	0.05	0.05	0.94	480	0.347	–0.05	0.16
ORDER	0.04	0.05	0.73	480	0.463	–0.06	0.15
NOM*INFO	–0.03	0.05	–0.57	480	0.567	–0.12	0.06
NOM*DRUG	0.10	0.04	2.43	480	0.015	0.02	0.18
INFO*DRUG	–0.08	0.07	–1.16	480	0.247	–0.22	0.06
NOM*ORDER	0.02	0.04	0.37	480	0.715	–0.07	0.10
INFO*ORDER	0.10	0.07	1.42	480	0.157	–0.04	0.23
DRUG*ORDER	–0.09	0.10	–0.98	480	0.328	–0.28	0.10
NOM*INFO*DRUG	0.02	0.07	0.33	480	0.738	–0.12	0.17
NOM*INFO*ORDER	–0.01	0.07	–0.08	480	0.934	–0.15	0.14
NOM*DRUG*ORDER	–0.06	0.11	–0.60	480	0.551	–0.27	0.15
INFO*DRUG*ORDER	0.16	0.14	1.10	480	0.272	–0.12	0.44
NOM*INFO*DRUG*ORDER	0.10	0.19	0.55	480	0.585	–0.26	0.47
Preferential MFCA for informative vs. non-informativePMFCA ~ INFO*DRUG*ORDER + (INFO + DRUG + ORDER | PART)
(Intercept)	0.10	0.03	3.71	240	0.000	0.05	0.15
INFO (informativeness)	–0.03	0.05	–0.57	240	0.568	–0.12	0.07
DRUG	0.10	0.04	2.39	240	0.017	0.02	0.18
ORDER	0.02	0.04	0.36	240	0.720	–0.07	0.10
INFO*DRUG	0.02	0.07	0.34	240	0.734	–0.12	0.17
INFO*ORDER	–0.01	0.07	–0.08	240	0.933	–0.15	0.14
DRUG*ORDER	–0.06	0.11	–0.60	240	0.552	–0.27	0.15
INFO*DRUG*ORDER	0.10	0.19	0.55	240	0.585	–0.27	0.47