TABLE 7.

SEM analyses predicting ID fusion with humanity, help intention to others, and individuals wellbeing.

		Video and scale
		Awe (n = 359) Mongolian Horse Riders			Elevation (n = 338) Mandela’s Life			Kama Muta (n = 366) Thai Dr.
Dependent	Predictor	B	SE	95% CI	B	SE	95% CI	B	SE	95% CI
ID fusion	Emotion1	0.270	0.058	[0.157, 0.383]	0.275	0.068	[0.142, 0.409]	0.303	0.052	[0.202, 0.405]
	ST values	0.113	0.075	[−0.033, 0.259]	0.058	0.071	[−0.081, 0.198]	0.077	0.053	[−0.027, 0.182]
Help intention	Emotion1	0.367	0.055	[0.259, 0.475]	0.429	0.069	[0.293, 0.565]	0.238	0.064	[0.113, 0.362]
	ST values	0.276	0.066	[0.147, 0.406]	0.252	0.065	[0.125, 0.379]	0.326	0.063	[0.202, 0.451]
	ID fusion	−0.035	0.060	[−0.152, 0.082]	0.035	0.053	[−0.069, 0.139]	0.135	0.054	[0.029, 0.240]
Wellbeing	Emotion1	0.246	0.064	[0.121, 0.372]	0.151	0.089	[−0.022, 0.325]	0.145†	0.073	[0.002, 0.288]
	Help. intention	0.069	0.085	[−0.097, 0.236]	0.032	0.087	[−0.139, 0.203]	0.086	0.075	[−0.061, 0.232]
Models’ fit	X2 (df)	627.77 (288)			903.92 (422)			1123.48 (545)
	CFI	0.935			0.920			0.918
	TLI	0.927			0.911			0.911
	RMSEA [IC90%]	0.057 [0.052, 0.063]			0.058 [0.053, 0.063]			0.054 [0.050, 0.058]
	SRMR	0.064			0.058			0.062

B and SE represent standardized SEM regressions coefficients and standard errors, respectively. Bold estimates indicate significant values (p < 0.05; ^†, p < 0.10). ¹Each emotion, for every model, is the target emotion that is matched with the prototypical stimulus. ID fusion, identity fusion; ST values, self-transcendent values. Models’ fin indexes are Chi-square (X²), df, degrees of freedom; CFI, comparative fit index; TLI, Tucker–Lewis index; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual.