Incidental exposure to hedonic and healthy food features affects food preferences one day later

Cognitive Research: Principles and Implications

Table 1 Mixed-effect regressions of endorsement on food type and exposure

DV: endorsement	Model 1			Model 2					Model 3
Predictor	Estimate	SE	t	Estimate	SE	t	R²	AIC	∆R²	AIC
Food type	− .30	.028	− 10.78	− .30	.030	− 10.05	73	32,045	− 5	34,454
Exposure	.13	.010	12.70	.13	.031	4.01	73	31,779	− 4	34,531
Food type × exposure	.71	.004	176.94	.71	.032	22.29	78	28,847	− 61	53,007

Regressions were performed on standardized measures. Thus, an estimate is the estimate of a standardized regression coefficient in the respective model, with SE and t being the standard error and t value of the estimate. R² is the total variance explained by Model 2, and ∆R² is the amount of variance explained by the main effect or interaction dropped in Model 3 (both in percentages. AIC is the value of the Akaike Information Criterion for Models 2 and 3. For Food Type, tasty foods were coded + 1, and healthy foods were coded − 1. For Exposure, hedonic exposure was coded + 1, and health exposure was coded − 1