Anxiety, Knowledge, Misconceptions, Behavioral Intentions and Prevention Practices in COVID-19 First Year of Pandemic: Network or Psychometric Model? (preprint)

The SARS-CoV-2 pandemic has spread rapidly worldwide, being life-changing and affecting anxiety, misconceptions, knowledge, and people's health behavioral intentions, which is related to COVID-19 prevention practices adherence. Thus, it is relevant to test whether related measures would have a factor or network model in different populations, and know its’ relations as complex systems. The goal of this research is to test whether the Fear and Health-Seeking Behavioral Intentions Scales follow a network or factor model in a Brazilian sample, in addition to an attempt to understand COVID-19 psychological impacts and its relations in a Brazilian sample during the first year of the pandemic. To do so, we used recent developments in the field of network and psychometrics, with a sample of 476 Brazilians collected during the first pandemic year. We found evidence for a network model using two approaches. In addition, we used the network model to see the relationship between those variables, and the findings are discussed. We highlighted the importance of COVID-19 knowledge, misinformation, and prevention practices adherence relation in the network structure.

Anxiety, Knowledge, Misconceptions, and Health-Seeking Behavioral Intentions in Brazil COVID-19 Pandemic: A network psychometric approach (preprint)

SARS-CoV-2 pandemic has spread rapidly worldwide, causing life-changing and affecting anxiety, misconceptions, knowledge, and people's health behavioral intentions, which need adhering to COVID-19 prevention practices. Thus, it is relevant to develop psychometric measures for those variables on different populations. The goal of the present research is to seek evidence of validity and reliability of the Fear and Health-Seeking Behavioral Intentions Scales in a Brazilian sample. To do so, this research used recent developments in the field of network psychometrics. Using a sample of 476 Brazilians collected at the beginning of the pandemic, we found a four-dimensional structure in the reflective variables, forming a sound structure with good psychometric properties. In addition, using the novel approach to see the relationship between those variables, novel findings are discussed. We highlighted the importance of COVID-19 anxiety in the network structure, as it can be a possible alternative to increase adherence to prevent COVID-19 infection.