Table 1.

Logit analysis

ch	Coefficient	SE	z	P > |z|	95% confidence interval
exp	0.4839094	0.0669722	7.226	0.000	0.3526464	0.6151724
std	0.0022734	0.0160675	0.141	0.887	−0.0292183	0.0337651
cert	0.1530257	0.2994381	0.511	0.609	−0.4338622	0.7399136
gain	0.3223414	0.1797661	1.793	0.073	−0.0299937	0.6746765
stc	0.0065275	0.0252911	0.258	0.796	−0.0430422	0.0560972
stg	−0.0915636	0.0177079	−5.171	0.000	−0.1262704	−0.0568568
expg	0.0664631	0.1028511	0.646	0.518	−0.1351214	0.2680475
cons	−0.1087111	0.1322396	−0.822	0.411	−0.3678959	0.1504737

For the overall grouped regression, the only variables that are significant are exp and stg, indicating that the only condition where standard deviation plays a role is in the gain domain. The potential context variables stc and cert have no impact. When the Logit regression is run on individual subjects, all nine show the expected value to be significant (P < 0.05) and five of the nine show the stg variable to be significant (P < 0.05). For those subjects for whom stg is not significant, three show std to be significant. Only one subject has data consistent with a context effect. The expc variable is dropped because of collinearity. Log likelihood = −512.76171; no. of obs = 905; LR χ²(7) = 227.87; Prob > χ² = 0.0000; Pseudo R² = 0.1818.