Table 6.

Study 4: IAT D-scores regressed onto IAT score predictions and explicit thermometer ratings.

Parameters (DV: IAT D-scores)	Prediction model estimates	Imp.-exp. model estimates	Sim. Reg. model estimates
Fixed effects
IAT score predictions	.54***		.55***
Predictions × Explanation	−.02		−.02
Predictions × Experience	.00		−.01
Predictions × Explanation × Experience	.03		.01
Explicit therm. ratings		.24***	−.02
Therm. × Explanation		−.03	−.02
Therm. × Experience		.05	.03
Therm. × Explanation × Experience		.04	.04
Random effect variances
IAT score predictions	.000		.000
Explicit therm. ratings		.087**	.058*
Residuals	.574***	.686***	.530***
Goodness of fit
−2 log likelihood	1297.22	1997.58	1805.64

^*p<.05

^**p<.01

^***p<.001

All level-1 variables are standardized for each individual participant before they are entered in the analysis. “Explanation”, “Experience”, and “Explanation × Experience” refer to Level-2 (between-subject) predictors that are contrast-coded “−1” for no or minimal, and “1” for full explanation or experience, respectively. The interaction term is the product of these two codes.