Even though several scoring methods exist for scoring questionnaires, few studies have compared the potential effects of scoring methods on the correlations between the scores and other variables. This study seeks to fill this void, by comparing the correlation coefficients between the scores obtained with seven scoring methods from real datasets and, in lieu of available real data, eight randomly generated variables. The results show that the correlations are nearly identical and that no scoring method has a systematic effect on the strength of the resulting correlations. This result reinforces previous results and it is thus recommended that researchers favor the use of simple scoring methods able to handle missing data.