Table 11.

Win-Stay, Win-Stay|Better, and Win-Stay|Worse During Reversal Learning

Coefficients	Reversal learning Formula: γ ~ [1 + Group × Sex + (1|rats)]
	β	SE	tStat	df	P	CIL	CIU
γ = win-stay
Intercept	0.4672	0.0174	26.850	21	<.0001	0.4311	0.5034
Group	0.0304	0.0256	1.1878	21	.2482	−0.0228	0.0836
Sex	−0.0434	0.0228	−1.9004	21	.0712	−0.0909	0.0041
Group:sex	0.0092	0.0333	0.2771	21	.7844	−0.0600	0.0784
γ = win-stay|better
Intercept	0.3822	0.0351	10.901	21	<.0001	0.3093	0.4552
Group	−0.0696	0.0542	−1.2843	21	.2130	−0.1822	0.0431
Sex	0.0147	0.0392	0.3744	21	.7119	−0.0668	0.0962
Group:sex	0.0671	0.0597	1.1238	21	.2738	−0.0571	0.1913
γ = win-stay|worse
Intercept	0.6115	0.0232	26.313	21	<.0001	0.5632	0.6598
Group	0.0468	0.0450	1.0390	21	.3106	−0.0469	0.1404
Sex	−0.1253	0.0285	−4.4024	21	.0002	−0.1844	−0.0661
Group:sex	0.0208	0.0593	0.3505	21	.7294	−0.1026	0.1442

Note. Bold values indicates p < 0.05.