Do Students’ Personality Characteristics Predict Covid-19 Safety Measures Compliance? Evidence from University Students at University of Dar es Salaam
Bibliographic Data
| ID | 21815499 |
|---|---|
| Authors | Patrick Singogo (0000-0002-7067-0451, University of Dar es Salaam, corresponding author) |
| Year | 2021 |
| Volume | 7 |
| Issue | 2 |
| Pages | 93-114 |
| Publication date | 2021-12-31 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Tanzania Journal of Sociology (JOURNAL) |
| Journal identifiers | ISSN: 1821-9632 • E-ISSN: 2591-6963 |
| Publisher | University of Dar es Salaam - DIGITAL COMMONS JOURNALS (PUBLISHER) |
| DOI | 10.56279/tajoso.v7i2.68 |
| OpenAlex | W4324004795 |
| Language | EN |
| Citations received | 1 |
| References cited | 17 |
The study aimed at investigating the predictability of personality characteristics on COVID-19 safety measures compliance. Specifically, the study aimed at examining the influence of agreeableness, conscientiousness, emotional stability, extraversion, openness to experiences on COVID-19 safety measures compliance. The study is based on cross-sectional research design whereby data were collected from university students. Through a questionnaire survey, data were collected from 450 university students at the University of Dar es Salaam. Based on SmartPLS estimates, it was found that four students’ personality characteristics i.e. agreeableness, conscientiousness, extraversion and openness to experiences significantly predict COVID-19 safety measures compliance. The study revealed that agreeableness, conscientiousness and openness to experiences have a positive prediction on COVID19 safety measures compliance. Moreover, the study revealed that extraversion personality has a negative prediction on COVID-19 safety measures compliance. However, the study failed to establish the predictability of emotional stability as one of students’ personality characteristics on COVID-19 safety measures compliance. The study suggests a unique perspective on the predictability of personality characteristics on COVID-19 safety measures thus complementing previous studies based on university students’ perspective. The positive predictability of agreeableness, conscientiousness and openness to experiences as well as the negative predictability of extraversion on COVID19 safety measures compliance tend to increase the soundness of personality characteristics in complying with established standards. Thus, understanding personality characteristics of people such as university students is essential in determining the extent of COVID-19 safety measures compliance
Agreeableness · Big Five personality traits · Conscientiousness · Extraversion and introversion · Hierarchical structure of the Big Five · Openness to experience · Personality · Applied Psychology · Clinical Psychology · COVID-19 Pandemic Impacts · Psychology · Social Psychology
Modern factor analysis
Psychological and behavioural responses to Coronavirus disease 2019
Predictors of Covid-19 voluntary compliance behaviors
An updated and expanded assessment of PLS-SEM in information systems research
Personality differences and Covid-19
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Self-Reports in Organizational Research
Loneliness and Well-Being During the Covid-19 Pandemic
Adaptive and Dark Personality in the Covid-19 Pandemic
Can Psychological Traits Explain Mobility Behavior During the Covid-19 Pandemic
Who Reaps the Benefits of Social Change? Exploration and Its Socioecological Boundaries
Dispositional Optimism Fosters Opportunity‐Congruent Coping With Occupational Uncertainty
Personality Traits, Risk Perception, and Protective Behaviors of Arab Residents of Qatar During the Covid-19 Pandemic
A very brief measure of the Big-Five personality domains
Sociodemographic and Psychological Correlates of Compliance with the Covid-19 Public Health Measures in France
The next Big Five Inventory (BFI-2)
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |