Table 11. Main variables with other important determinants to AIS.

		AIS			Effect size		CI (95%)
		b	Std. B				Lower	Upper
Model 1: Main variables
R = 0.339	(Constant)	3.18		**			2.85	3.50
R2 = 0.115	Stewardship priming narrative group1? Yes (1)–No (0)	-0.14	-0.11	**	0.27D	+	-0.24	-0.04
df = 4, 652	ROS Personal	-0.22	-0.22	**	0.05C	+	-0.29	-0.15
	ROS Social	0.12	0.23	**	0.05C	+	0.08	0.16
Model 2: Main variables with demographic and other determinants
R = 0.469	(Constant)	2.67		**			2.10	3.25
R2 = 0.22	ROS Personal	-0.22	-0.23	**	0.05C	+	-0.31	-0.13
df = 39, 402	ROS Social	0.09	0.18	**	0.03C	+	0.04	0.14
	How often do you consume meat in a week2? I don’t consume meat: Yes (1)–No (0)	0.35	0.17	**	0.02C	+	0.15	0.54
	What is the highest level of schooling you have completed3? Diploma: Yes (1)–No (0)	0.43	0.15	**	0.02C		0.14	0.71
	In what sort of house do you live4? Apartment: Yes (1)–No (0)	0.58	0.14	**	0.01C		0.16	0.99
	What is the highest level of schooling you have completed3? Bachelor’s degree: Yes (1)–No (0)	0.18	0.16	**	0.01C		0.05	0.32
	What is your gross household expenses per month5? Above 25 million: Yes (1)–No (0)	-0.69	-0.09	*	0.01C		-1.35	-0.02

Unsignificant result omitted. For full results see S6 File, -Multiple regression Tables 1 to 2.

*p < .05

**p < .01

^Aregression using enter method in a stepwise manner

^Bregression using enter method

^Ceffect-size calculation using eta squared (F2)

^Deffect-size calculation using Hedge’s g

+small effect size F2> = 0.02 (or in some cases of categorical dummy variable, using Cohen’s D/Hedges’g > = 0.2); ++medium effect size F2> = 0.15 (or in some cases of categorical dummy variable, using cohen’s D/Hedges’g > = 0.5)

¹compared to respondents who fill the survey without having to read any narrative

²compared to respondent who eat meat once a week

³compared to respondent with master/PhD

⁴compared to respondent who is still live with their parents; ⁵compared to those respondents whose expenses is below IDR five millions a month.