Table 2. Two-level hierarchical generalized linear model of recall performance predicted by Item Value, List, and Study Condition in Experiment 1.

Fixed effects	Coefficient
Intercept (β00)	-0.52***
Predictors of intercept
Cond1: Full attention v. Divided attention (β01)	-0.62***
Cond2: Full attention v. Familiar music (β02)	-0.20+
Cond3: Full attention v. Unfamiliar music (β03)	-0.07
Value (β10)	0.16***
Predictors of value
Cond1: FA v. DA (β11)	0.01
Cond2: FA v. FM (β12)	0.02
Cond3: FA v. UM (β13)	-0.02
List (β20)	0.04+
Predictors of list
Cond1: FA v. DA (β21)	0.05+
Cond2: FA v. FM (β22)	-0.03
Cond3: FA v. UM (β23)	0.01
List × Value (β30)	0.03**
Predictors of list × value
Cond1: FA v. DA (β31)	0.01
Cond2: FA v. FM (β32)	-0.01
Cond3: FA v. UM (β33)	-0.01
Random effects	Variance
Intercept (person-level) (r0)	0.21***
Value (r1)	0.01***
List (r2)	0.03***
List × Value (r3)	0.001***

Note. Logit link function was used to address the binary dependent variable.

⁺p < .10

^*p < .05

^**p < .01

^***p < .001