Table 9.

Win-Stay and Lose-Shift During Early Discrimination and Reversal Learning

Coefficients	Early discrimination and reversal learning Formula: γ ~ [1 + Phase × Group × Sex + (1|rats)]
	β	SE	tStat	df	P	CIL	CIU
γ = win-stay
Intercept	0.5941	0.0122	48.508	42	<.0001	0.5694	0.6188
Phase	−0.1269	0.0290	−4.3795	42	.0001	−0.1853	−0.0684
Group	−0.0746	0.0344	−2.1708	42	.0357	−0.1440	−0.0052
Sex	−0.0876	0.0551	−1.5900	42	.1193	−0.1988	0.0236
Phase:group	0.1068	0.0512	2.0834	42	.0433	0.0033	0.2102
Phase:sex	0.0442	0.0621	0.7118	42	.4805	−0.0811	0.1695
Group:sex	0.0403	0.0667	0.6036	42	.5494	−0.0944	0.1750
Phase:group:sex	−0.0328	0.0782	−0.4196	42	.6769	−0.1907	0.1251
γ = lose-switch
Intercept	0.5721	0.0156	36.586	42	<.0001	0.5405	0.6036
Phase	−0.1572	0.0370	−4.2478	42	.0001	−0.2318	−0.0825
Group	−0.0634	0.0192	−3.3082	42	.0019	−0.1020	−0.0247
Sex	0.0398	0.0186	2.1392	42	.0383	0.0023	0.0773
Phase:group	0.0345	0.0487	0.7082	42	.4827	−0.0638	0.1328
Phase:sex	0.0325	0.0409	0.7942	42	.4316	−0.0501	0.1150
Group:sex	−0.0321	0.0253	−1.2661	42	.2124	−0.0832	0.0191
Phase:group:sex	0.0368	0.0561	0.6564	42	.5152	−0.0763	0.1499

Note. Bold values indicates p < 0.05.