Table 4. Overview of the Combined Analysis to Explore the Effect of the Previous Gamble on Choice Data.
Dependent variable | diff | Lower CI | Upper CI | t | p | gav | BF |
---|---|---|---|---|---|---|---|
Note. diff = difference; CI = confidence interval; gav = Hedge’s average g; BF = Bayes factor. | |||||||
pgamble | |||||||
Nongamble vs. gambled loss | −.029 | −.052 | −.005 | 2.434 | .016 | .149 | 1.47 |
Nongamble vs. gambled win | .044 | .067 | .067 | 3.725 | <.001 | .217 | 60.12 |
Gambled loss vs. gambled win | .073 | .049 | .096 | 6.149 | <.001 | .370 | 6.77 × 106 |
Choice latency | |||||||
Nongamble vs. gambled loss | 14 | 3 | 26 | 2.499 | .013 | .065 | 1.71 |
Nongamble vs. gambled win | −18 | −32 | −4 | 2.486 | .014 | .078 | 1.66 |
Gambled loss vs. gambled win | −32 | −45 | −20 | 4.950 | <.001 | .143 | 6,833 |