Correction to “Hurdle Models in Psychology—A Practical Guide for Inflated Data”

In Section 5.3.2.1, it was published as: "Zero Hurdle model coefficients: In the Hurdle model, the logistic regression component predicts the probability of not engaging in the event at all (i.e., probability of having zero counts for the outcome variable).Thus, a positive coefficient for a predictor in this component indicates an increase in the probability of not adopting the behaviour, or equivalently a decrease in the probability of engaging at least once in the event.For example, if social_support has a significant positive coefficient, it means that higher levels of social support are associated with an increased probability of not getting tested.In other words, more social support is associated with a lower probability of getting tested for HIV at least once.Conversely, a negative coefficient would indicate a higher likelihood of engaging in the event at least once.The zero hurdle model predicts the odds of observing a zero versus a nonzero count using logistic regression."