Statistical Analysis
REGRESSION
We used IBM SPSS 24 for all statistical analyses. Firstly, average explicit attitude scores were calculated. VAS scores were reversed if necessary to ascertain that higher scores represented a positive attitude toward condom use or a strong intention to use a condom. Average intentions to use a condom and risk perception were also measured using a VAS and their average score was calculated the same way. The D600-score was calculated for the reaction times on the Implicit Association Test, according to the formula of (Greenwald et al., For regression analyses, an unstructured covariance matrix was used, with a random intercept and a random slope per person. Predictor variables were centered before they were entered into the regression models. To test the first hypothesis, the score on the n-back task was used as dependent measure, sexual arousal and alcohol were entered as fixed factors, while trait working memory was inserted into the model as a covariate.To test the second hypothesis, a mixed regression analysis was used. An unstructured covariance matrix was used, with a random intercept and a random slope per person. Intentions to use a condom was used as a dependent variable, and sexual arousal and alcohol were used as fixed factors.Hypotheses three, four and five were tested using one single mixed regression analysis. An unstructured covariance matrix was used, with random intercept, and a random slope per person. Explicit attitudes, implicit attitudes, risk perception, and the interactions between implicit attitudes and condition, and between explicit attitudes and condition were used as covariates.