TABLE 2.

Reliabilities for reflective measured latent constructs.

	CE	SD	t	P	95% CI
Average variance extracted
Body dissatisfaction	0.75	0.06	13.65	<0.001	[0.64, 0.82]
Internalization	0.87	0.04	21.00	<0.001	[0.81, 0.92]
Composite reliability
Body dissatisfaction	0.94	0.02	46.59	<0.001	[0.90, 0.96]
Internalization	0.95	0.02	42.59	<0.001	[0.93, 0.97]
Cronbach’s alpha
Body dissatisfaction	0.92	0.02	38.12	<0.001	[0.87, 0.95]
Internalization	0.93	0.02	42.19	<0.001	[0.88, 0.95]
Rho
Body dissatisfaction	0.93	0.03	32.68	<0.001	[0.86, 0.95]
Internalization	0.93	0.35	2.65	0.004	[−7.34, 0.95]

AVE: Degree to which a latent construct explains the variance of its indicators (convergent validity; AVE > .5 for good fit). Composite Reliability: Measure of internal consistency reliability. Cronbach’s alpha: Measure of internal consistency reliability assuming equal indicator loadings (more conservative). Cronbach’s alpha is the lower bound, composite reliability the upper bound for internal consistency reliability. Rho: Measure for composite reliability, Rho > 0.7 for good fit.