Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach
PurposeThis study aimed to develop scales to assess perceptions of coronavirus disease 2019 (COVID-19) self-protective measures (SPMs) and examine the psychometric properties based on the theory of planned behavior (TPB).Design/methodology/approachA total of 412 participants from Bangalore, India, randomly volunteered to participate in this research. The questionnaire consisted of items related to the TPB scales and demographic details.FindingsA structural equation model showed a reasonable model fit. In total, 70% of the individuals' behavioral intentions of following COVID-19 SPMs were predicted by perceived benefits, barriers, social norms and social influence. Participants' age impacted on perceived benefits and perceived social influence and individuals' behavioral intentions of following COVID-19 SPMs, with a 13.6% difference in model prediction.Originality/valueThe TPB can be used as a strong psychometric property to assess behavioral determinants of COVID-19 SPMs.