ABSTRACT
We aimed to adapt the Coronavirus Anxiety Scale (CAS) in Brazil, using a range of statistical techniques (e.g., factor analysis, item response theory). Two studies were conducted (Ntotal = 512). The unidimensional structure presented a good model fit and reliability, significant convergent validity, and all items presenting very high discrimination levels, adequately assessing medium and high anxiety levels. We also gathered evidence on cutoff points for detecting anxiety symptoms, reinforcing the diagnostic feasibility (for screening) of the CAS. Our findings emphasize the CAS as useful for rapid assessment and research involving COVID-19 and mental health markers.
Subject(s)
COVID-19 , Anxiety/diagnosis , Anxiety/psychology , Brazil , Humans , Psychometrics , Reproducibility of Results , Surveys and QuestionnairesABSTRACT
Human values and affective traits were found to predict attitudes toward the use of different types of drugs (e.g., alcohol, marijuana, and other illegal drugs). In this study (N = 196, Mage = 23.09), we aimed to gain a more comprehensive understanding of those predictors of attitudes toward drug use in a mediated structural equation model, providing a better overview of a possible motivational path that drives to such a risky behavior. Specifically, we predicted and found that the relations between need for affect and attitudes toward drug use were mediated by excitement values. Also, results showed that excitement values and need for affect positively predicted attitudes toward the use of drugs, whereas normative values predicted it negatively. The pattern of results remained the same when we investigated attitudes toward alcohol, marijuana, or illegal drugs separately. Overall, the findings indicate that emotions operate via excitement and normative values to influence risk behavior.
