Table 1.

Three-way analysis of variance in self-reported anxiety (STAI) controlling for STAI at baseline

Effect	F	$\mathit{d}{\mathit{f}}_{\mathbf{1}}^{\mathit{\text{GG}}}$	$\mathit{d}{\mathit{f}}_{\mathbf{2}}^{\mathit{\text{GG}}}$	MSE	p	${\widehat{\mathit{\eta }}}_{\mathit{G}}^{\mathbf{2}}$
Baseline STAI at Time 1 (control)	49.23	1	59	5.78	< .001	.237
Condition	0.33	2	59	5.78	.723	.004
Social Anxiety	3.45	1	59	5.78	.068	.021
Time	144.13	3.76	222.09	2.60	< .001	.606
Condition × Social Anxiety	0.01	2	59	5.78	.989	.000
Baseline STAI × Time	4.33	3.76	222.09	2.60	.003	.044
Condition × Time	0.64	7.53	222.09	2.60	.736	.013
Social Anxiety × Time	0.67	3.76	222.09	2.60	.607	.007
Condition × Social Anxiety × Time	1.95	7.53	222.09	2.60	.058	.040

Note: Social anxiety was a centered continuous predictor. As reflected by the GG superscripts, non-integer degrees of freedom reflect Greenhouse-Geisser corrections for departure from sphericity. MSE = mean squared error; ${\widehat{\eta }}_G^2$ = generalized eta-squared