Table 4. Two-level hierarchical generalized linear model of recall performance predicted by Item Value, List, and Study Condition in Experiment 2.

Fixed effects	Recall
Intercept (β00)	-0.52***
Predictors of intercept
Cond1: Full attention v. Tone monitoring (β01)	-0.72***
Cond2: Full attention v. Paired tones (β02)	-0.67**
Cond3: Full attention v. 1back (β03)	-0.98***
Value (β10)	0.21***
Predictors of value
Cond1: FA v. TM (β11)	-0.02
Cond2: FA v. PT (β12)	-0.05
Cond3: FA v. 1back (β13)	-0.05
List (β20)	0.01
Predictors of list
Cond1: FA v. TM (β21)	-0.01
Cond2: FA v. PT (β22)	0.06
Cond3: FA v. 1back (β23)	0.09**
List × Value (β30)	0.03**
Predictors of list × value
Cond1: FA v. TM (β31)	0.02
Cond2: FA v. PT (β32)	0.03
Cond3: FA v. 1back (β33)	0.0003
Random effects	Variance
Intercept (person-level) (r0)	0.22***
Value (r1)	0.03***
List (r2)	0.002
List × Value (r3)	0.003***

Note. Logit link function was used to address the binary nature of the recall outcome.

^*p < .05

^**p < .01

^***p < .001