Table 7.
Study 4: The effect of explicit thermometer ratings on participants’ implicit-attitude predictions
Parameters (DV: Score predictions) | Model 1 estimates | Model 2 estimates |
---|---|---|
Fixed effects | ||
Explicit thermometer ratings | .47*** | .37*** |
Therm. × Explanation | −.01 | .00 |
Therm. × Experience | .04 | .03 |
Therm. × Explanation × Experience | −.01 | −.03 |
IAT D-scores | .43*** | |
IAT score × Explanation | −.01 | |
IAT score × Experience | −.03 | |
IAT score × Explanation × Experience | .02 | |
| ||
Random effect variances | ||
Explicit thermometer ratings | .122*** | .091*** |
IAT D-scores | .011 | |
Residuals | .517*** | .388*** |
| ||
Goodness of fit | ||
−2 log likelihood | 1815.75 | 1624.92 |
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.