ORIGINAL RESEARCH article

Front. Polit. Sci., 21 July 2021
Sec. Elections and Representation
https://doi.org/10.3389/fpos.2021.660911

Who Complies and Who Defies? Personality and Public Health Compliance

  • 1Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada
  • 2Department of Political Science, Beloit College, Beloit, WI, United States
  • 3Department of Political Science, Dalhousie University, Halifax, NS, Canada

During the first wave of the pandemic, governments introduced public health measures in an attempt to slow the spread of the virus enough to “flatten the curve”. These measures required behavioral changes among ordinary individuals for the collective good of many. We explore how personality might explain who complies with social distancing measures and who defies these directives. We also examine whether providing people with information about the expected second wave of the pandemic changes their intention to comply in the future. To do so, we draw upon a unique dataset with more than 1,700 respondents. We find honest rule-followers and careful and deliberate planners exhibit greater compliance whereas those who are entitled, callous, and antagonistic are less likely to engage in social distancing. Our experimental results show that even small differences in messaging can alter the effect of personality on compliance. For those who are more fearful and anxious, being confronted with more information about the severity of the second-wave resulted in higher levels of anticipated social distancing compliance. At the same time, we find that the same messages can have the unintended consequence of reducing social compliance among people higher in Machiavellianism.

Introduction

In late 2019 and early 2020 the world was introduced to an outbreak of SARS-CoV-2 (COVID-19). By March 11, 2020 the rapid spread of the virus resulted in the World Health Organization (WHO) declaring it a global pandemic (World Health Organization, 2020). In the absence of a vaccine, many governments around the world introduced strict public health measures to slow the spread of the virus (Cheng et al., 2020). The terms “lockdown” and “social distancing” became part of the global vocabulary as governments closed schools, parks, and businesses, limited international travel, and mandated that individuals keep their distance from one another (working from home, restricting unnecessary travel, staying six feet of physical distance in public spaces, etc.).

The primary purpose of such efforts was not to eradicate COVID-19, but rather to slow the spread of the virus enough to “flatten the curve” and ensure that the medical system, especially intensive care units, were not overburdened while more long-term solutions such as a vaccine were pursued. While governments could act on some of these policies unilaterally (i.e., restricting international travel), many of the health measures required behavioral changes among ordinary individuals. As the White House’s coronavirus coordinator explained during the first wave: “There’s no magic vaccine or therapy. It’s just behaviors: Each of our behaviors translating into something that changes the course of this viral pandemic” (Holland and Mason, 2020).

We know, however, that not everyone follows public health guidelines, and the current pandemic is no different (Bavel et al., 2020; Roma et al., 2020). A central question for this article, therefore, is to consider who complies? While previous work has explored standard sociodemographic factors like age, sex, education, and political factors like ideology and partisanship (Chen and Farhart, 2020; Merkley et al., 2020; Pickup et al., 2020), COVID compliance is likely rooted in individual differences in personality (see, for example, Nowak et al., 2020). The question for us is which traits and personality profiles result in greater compliance with public health guidelines for social distancing and support for government lockdown policies? To answer this question, we draw on an original dataset of more than 1,700 Canadians. The data contain a series of questions related to COVID compliance and support for the government lockdown, as well as large batteries of both general and dark personality traits.

Given the length of the pandemic, and the onset of multiple waves, encouraging continued (and even increasing) compliance and support for public policies that are aimed at slowing the spread of the virus are crucial. This, however, raises the second question addressed in this article. If compliance is rooted in relatively stable, long-term, factors like personality, how much change can we expect from individuals with regards to their level of compliance? Can greater compliance be encouraged through public health messaging? Moreover, will different traits interact differently with the same public health messages (i.e., will some be more receptive than others)? To explore this second question, we report the results of an original survey experiment where we consider whether providing participants with more information about the upcoming second wave through a series of randomly assigned vignettes would encourage greater self-reported compliance.

Overall, our results reveal that personality is a consistent predictor of both social distancing compliance and support for government lockdown policies. Personality matters even after controlling for a wide range of factors such as age, sex, income, education, employment status, efficacy, knowledge, interest, and partisanship, and while considering the potential mediating role of political ideology. As for the second-wave compliance experiment, we find that public health messaging may have unintended consequences. While those scoring higher in emotionality report greater compliance after being exposed to additional information about the second wave, individuals with higher levels of antagonism (Machiavellianism) report less compliance. As we suggest in the discussion, the fact that public health messaging may not necessarily have a universally positive effect on behavior is a serious challenge for governments seeking to contain the pandemic.

Part 1: Personality and COVID-19 Compliance

Dozens of published studies have tried to explain why some people comply with measures intended to slow the spread of COVID-19 while others flout these rules and recommendations. Outcome variables have ranged from single item measures of general compliance to identifying specific behaviors such as hand-washing, mask wearing, and maintaining social distance. When examining different correlates, one of the more consistent findings has been political ideology; people on the right of the political spectrum tend to be less compliant (Farias and Pilati, 2020; Painter and Qiu, 2020). Other factors such as trust in science (Plohl and Musil, 2020), trust in government and their ability to implement appropriate policies (Wright et al., 2020; Götz et al., 2021), social capital (Pitas and Ehmer, 2020; Makridis and Wu, 2021; Wu, 2021), and higher levels of anxiety (Kemp et al., 2021; Mevorach et al., 2021) and fear (Brouard et al., 2020; Harper et al., 2020; Melki, 2020) have helped to explain increased compliance.

While these findings are informative, an important piece of this puzzle likely rests in individual differences in personality. Personality refers to a set of traits that are present in a given individual from an early age, are deeply rooted, and tend to be remarkably stable over time (Costa and McCrae, 1992). Personality consistently predicts a number of personal, political, and health-related outcomes such as job (Judge et al., 2002) and relationship satisfaction (Malouff et al., 2010), voter turnout (Mondak, 2010), political participation (Chen et al., 2020), subjective well-being (Friedman et al., 2010), and overall life expectancy (Bogg and Roberts, 2004). Personality interacts with the environment in influencing specific behaviors; people with different personality traits will focus on different informational cues from their environment (inputs), which will in turn create different options to consider (decision rules), leading to different behavioral choices (outputs; see Larsen et al., 2018). Moreover, the influence of personality on behavior will likely be amplified in situations marked by uncertainty or crisis, such as during a global pandemic. As Caspi and Moffitt (1993): 247 explain:

Personality differences are likely to be revealed during transitions into unpredictable new situations, when there is a press to behave but no information about how to behave adaptively. Dispositional differences are thus accentuated as each person seeks to transform novel, ambiguous, and uncertain circumstances into familiar, clear, and expectable social encounters.

Taken together, there is good reason to expect personality to be related to COVID compliance.

Although the Five Factor Model (FFM; Costa and McCrae, 1992) has long been the predominant model in personality psychology, a separate model, called the HEXACO (Ashton and Lee, 2007), offers a competing nosology. While the traits of extraversion (gregariousness, excitement-seeking), conscientiousness (competence, self-discipline), and openness (ideas, unconventional values) remain largely unchanged, the HEXACO model redefines both agreeableness and neuroticism; agreeableness here is characterized as patience, leniency, and includes lack of anger which in the FFM is noted under neuroticism while neuroticism is renamed emotionality and describes people who are anxious, sentimental, and sensitive (Ashton et al., 2014). The HEXACO model also adds a sixth trait, honesty-humility defined as being honest, sincere, and trustworthy.

While the FFM and the HEXACO describe general personality traits, the Dark Triad describes the more antagonistic aspects of personality. The Dark Triad, as first described by Paulhus and Williams (2002) includes the three traits of subclinical psychopathy (callousness, impulsivity), narcissism (self-enhancement, antagonism), and Machiavellianism (manipulation, cynicism). While the three traits tend to be significantly correlated and share an antagonistic core, they are three distinct, and multidimensional traits (Miller et al., 2019). In this analysis, we treat them as such.

When examining general personality and COVID-19 compliance, research utilizing the FFM has found that conscientiousness is positively related to general public health compliance (Carvalho et al., 2020; Quian and Yahara, 2020; Götz et al., 2021), while extraversion is negatively related to social distancing (Carvalho et al., 2020; Clark et al., 2020; Götz et al., 2021). There is also evidence that agreeableness (Zajenkowski et al., 2020; Götz et al., 2021) and openness to experience (Clark et al., 2020; Götz et al., 2021) are also related to more compliance. The findings for emotionality are mixed with one study finding that people higher in emotionality are less likely to comply with stay-at-home orders (Clark et al., 2020) while the other finds the opposite result (Götz et al., 2021).

Several studies have also examined the more maladaptive aspects of personality including antisociality, negative affect, detachment, antagonism, and disinhibition. Here, the findings are clear: higher levels of maladaptive traits are related to less compliance with public-health measures (Miguel et al., 2020; Roma et al., 2020; O’Connell et al., 2021). Turning to the specific traits of the Dark Triad, Nowak et al. (2020) find that all three traits are related to engaging in fewer preventative measures. Zajenkowski et al. (2020) similarly find evidence that aspects of all three traits are related to less general compliance.

We add to this emerging literature by using the HEXACO, which to date has been largely omitted, by drawing on fulsome measures of personality, by considering the multidimensional nature of each Dark Triad construct, by utilizing a large representative sample, and by including a variety of theoretically informed control variables in the analysis. In addition to developing our expectations from the results of the existing literature, we further develop these expectations from a theoretical understanding of each personality trait. Three HEXACO traits are particularly relevant for understanding altruistic behavior: honesty-humility (treating others fairly; loyalty), emotionality (preventing harm to oneself and those closely aligned with the individual), and agreeableness (treating others with kindness with no expectation of reciprocity; Ashton and Lee, 2007; Lee and Ashton, 2018). Given that compliance with social measures and support for policies that essentially close public spaces require that individuals sacrifice personal liberties for the greater good, we hypothesize that these traits will be positively associated with compliance and with support for specific policies meant to slow the spread of the coronavirus. To help illustrate how these traits may result in different behaviors, imagine the person higher in honesty-humility. Because of their beliefs in equity, this person might show more negative reactions to media stories of people suffering during the pandemic (input), which would result in more negative appraisals of social interactions that could potentially lead to more infections (decision rules), resulting in the decision to avoid unnecessary gatherings (outputs).

The other three personality traits of the HEXACO model, extraversion, conscientiousness, and openness, represent an individual’s level of engagement in “social endeavors, task-related endeavors, and idea-related endeavors, respectively” (Ashton and Lee, 2007, p. 160). Given that individuals higher in extraversion would seek out social situations and opportunities to be in the presence of others, we hypothesize that this trait will be negatively related to social distancing compliance and negatively related to support for policies that essentially closed public meeting places. In this way, we expect that extraversion, a trait that is usually associated with positive outcomes (e.g., happiness, leadership success), can be detrimental in certain situations. In contrast, given that conscientiousness is related to dutifulness, rule following, and higher self-control, we expect this trait to be positively associated with all forms of compliance and support for lockdown policies. Openness, characterized by creativity and unconventionality, is consistently related to a less conservative ideology (Osborne and Sibley, 2012; Osborne et al., 2020) and given that conservative ideology has been the most consistent predictor of lower compliance during the pandemic (Gollwitzer et al., 2020; Painter and Qiu, 2020), openness will likely be associated with increased compliance and support for lockdown policies.

Turning now to the Dark Triad, psychopathy is most-often characterized by four underlying facets: interpersonal manipulation (dishonesty), affective (lack of empathy), lifestyle (impulsivity), and antisocial (rule breaking; Williams et al., 2007). People with psychopathic traits place their own needs above others, don’t consider the consequences of their actions, and flout rules and regulations. We generally expect to find negative relationships between psychopathy and compliance with social distancing and support for policies. Similarly, both aspects of narcissism, grandiosity (high self-esteem, assertiveness) and vulnerability (envy, shame) are related to self-aggrandizing behavior and placing one’s own interests above the interests of others (Crowe et al., 2018; Rosenthal et al., 2020). Both types of narcissism should therefore be negatively related to compliance and support for the lockdown.

While narcissism and psychopathy can be seen as generally maladaptive, the construct of Machiavellianism combines both maladaptive (being selfish and callous) and adaptive features (careful planning, goal-directed). Machiavellians are cunning planners, motivated to achieve their desired ends at any cost (Collison et al., 2018). We therefore expect the antagonistic traits to be related to less compliance and support for policies, while the more adaptive traits of planfulness and deliberation should be positively associated with these outcomes. A summary of our hypotheses is presented in Table 1.

TABLE 1
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TABLE 1. Summary of the expectations for each personality construct and social compliance and support for policies to slow the spread of the coronavirus (COVID-19).

Methods

Participants

Participants were 1725 Canadian residents recruited through a series of voluntary survey panels maintained by Qualtrics.1 Participants were sent an email invitation from Qualtrics that contained a link to our survey. Once accessed, the 25-min survey included the following sections: socio-demographics; political attitudes, behaviors, and ambition; COVID-19 attitudes and behaviors; internet usage and activities; and full measures of the HEXACO, Machiavellianism, grandiose and vulnerable narcissism, and psychopathy. Note that the personality batteries were randomly presented to participants. In order to ensure that the sample resembled the broader Canadian population, quotas were put in place for age, income, and sex. The final sample included 863 women, 854 men, and eight non-binary individuals with an average age of 49 years (SD = 16.6; range 19–80). The majority of participants identified as White (75.5%), followed by Asian (13.1%), Black (2.7%), other (2.2%), East Indian (2.0%), Indigenous (1.7%), Hispanic (1.3%), and Middle Eastern (1.3%). Thirty-one percent of participants had completed a Bachelor’s degree followed by equal numbers that reported completing high school (27.2%), and completing technical or community college (27.3%). Median household income ranged between $50,000 and $74,999. The mean level placement on the one-dimensional measure of political ideology (0-Left to 10-Right) was 4.8 (SD = 2.2). Data were collected between June 29, 2020 and July 22, 2020.

Measures

Demographics and Controls

Participants were asked a series of demographic questions. This included their age, sex, income, education, and employment status. Participants were also asked a number of questions about their political attitudes and orientations. This included internal and external efficacy, political knowledge (scored out of five), party identification, political interest, and self-placement on the left/right ideology scale. Combined, these serve as controls in our multivariate analyses. Precise wording of each question is available in the Supplementary Materials.

Personality

Participants completed the HEXACO-60 (Ashton and Lee, 2009), a 60-item self-report scale that assesses the six personality dimensions of the HEXACO model (10 items per dimension) which includes honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness. Cronbach’s alpha coefficients ranged from 0.73 (honesty-humility) to 0.80 (extraversion) in the current sample.

Based on criticisms that truncated measures of the Dark Triad are unable to capture the multidimensionality of each construct (e.g., Miller et al., 2019) and that they may conflate Machiavellianism and psychopathy (Miller et al., 2017; Collison et al., 2018), we used individual measures of each Dark Triad trait. Machiavellianism was measured with the Five Factor Machiavellianism Inventory (FFMI; Collison et al., 2018), a 52-item self-report measure developed from the Five Factor Model of personality. The FFMI contains three subscales: antagonism (e.g., selfishness, callousness), agency (e.g., achievement, competence), and planfulness (e.g., deliberation, order). In the current sample, Cronbach’s alpha coefficients were acceptable for all three subscales (range: 0.74 to 0.87).

Two aspects of narcissism were measured using the Narcissistic Grandiosity Scale (NGS; Rosenthal et al., 2020) and the Narcissistic Vulnerability Scale (NVS; Crowe et al., 2018). In both of these scales, participants are asked to rate the extent to which a number of adjectives describes how they feel in general and on average (1-not at all to 7-extremely). Items tapping into grandiose narcissism include authoritative, dominant, and superior while items tapping into vulnerable narcissism include envious, resentful, and self-absorbed. Both the NGS and NVS showed acceptable Cronbach’s alpha coefficients in the current study (0.92 and 0.90, respectively).

Psychopathy was measured using the Self-Report Psychopathy scale short form (SRP 4 SF; Paulhus et al., 2016) which contains 29 items tapping into the four underlying facets of psychopathy: interpersonal (e.g., manipulation), affective (e.g., callousness), lifestyle (e.g., irresponsible), and antisocial (e.g., delinquent and criminal behavior). The Cronbach’s alpha coefficients were acceptable for all four facets in the current study (range: 0.77 to 0.82). All personality measures were standardized to a 0 to 100 scale, with 0 representing the lowest level of each personality trait and 100 representing the highest. All possible correlations between the personality scales can be found in the online supplemental materials (Supplementary Table S1).

Outcomes

Participants were asked to think back to when the COVID-19 lockdown was in full effect and to indicate the extent to which they engaged in the following behaviors (0-never to 100-frequently): visit someone’s else’s home, have guests in their home, and gather outdoors with people who did not live with them. Items were reversed scored so that higher scores indicated more compliance with social distancing measures. We conducted a principal components analysis (PCA) with varimax rotation to assess whether the three social compliance items could be combined into one measure. A one-factor solution accounting for 79.46% of the variance was found (eigenvalue = 2.38; Cronbach’s alpha = 0.87). The average rating across the three items was therefore taken as the measure of social distancing compliance, with higher scores indicating more compliance with social distancing measures.

Participants were then asked the extent to which they supported the following governmental initiatives during the lockdown (0-not at all supportive to 100-completely supportive): closing daycares, schools, and universities; closing bars and restaurants; closing parks and playgrounds; forbidding public gatherings where many people are gathered at one place (i.e., sporting, religious, and cultural events); and forbidding non-necessary travel. A PCA confirmed a one-factor solution accounting for 80.53% of the variance (eigenvalue = 4.03; Cronbach’s alpha = 0.94) and the average of the five items was calculated as the measure of support for policies with higher scores indicating more support for these policies. Tables of the rotated factor loadings for each composite variable can be found in the online supplemental materials (Supplementary Tables S2, 3).

Part 1: Observational Results

We begin by exploring compliance with public health guidelines regarding social distancing.2, Table 2 presents the zero-order correlations between the personality constructs and the two outcomes: social distancing compliance and support for lockdown policies. The bivariate associations are almost entirely consistent with the expectations outlined in Table 1, with the exception of extraversion which was not significantly related to social compliance and showed a small positive relationship with support for lockdown policies.

TABLE 2
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TABLE 2. Correlations between personality variables and outcomes.

To explore these relationships further, we estimated a series of Structural Equation Models (SEM). In these models, we include the various personality traits (or facets) as observed (independent) variables, along with a robust set of controls for respondent age, sex, income, education, employment status, political efficacy (internal and external), political knowledge, political interest, and party identification. While we are primarily interested in the direct effects of personality on COVID behaviors and lockdown policy attitudes, we suspect that personality may, in fact, be mediated through other relevant factors. Given the well documented link between personality and ideological orientation (Mondak, 2010; Osborne and Sibley, 2012; Sibley et al., 2012; Osborne et al., 2020) as well as the importance of ideology for understanding COVID related outcomes (Brouard et al., 2020; Farias and Pilati, 2020; Merkley et al., 2020; Painter and Qiu, 2020), and political attitudes and behaviour more generally (Inglehart, 1997; van der Meer et al., 2009; Feldman and Johnston, 2014), our SEM models include left-right ideology as a possible mediator. We estimate these models using maximum likelihood estimation with bootstrapped standard errors. Path diagrams show significant paths with solid lines and their associated coefficients whereas insignificant paths are shown with dotted lines.

Much of the Dark Triad literature has been criticized for failing to take into account the “perils of partialing” when multivariate models are used. Here, the argument is that the residual traits produced when all Dark Triad traits are included in the same model cannot be readily interpreted because they may not resemble the original traits (Sleep et al., 2017). As Miller et al. (2019:355) note, this concern is exacerbated “when variables are substantially correlated and multidimensional as they are for the dark triad”. Given that we are considering this multidimensionality and that the traits are in fact significantly correlated (supplementary Material Table S1), we specify a number of separate models, one for each of the personality models under investigation (HEXACO, narcissism, psychopathy, and Machiavellianism). In total, then, we conducted eight SEM models (four for each outcome). All were deemed to fit the data well according to recommendations from Byrne (1994). The Root Mean Square Error of Approximation (RMSEA) for all models was <0.001, well under the cut-off of 0.08. The Standardized Root Mean Square Residual (SRMR) was also <0.001 for all models easily under the cut-off of 0.10. The χ2 for the models ranged from 675.1 [33] to 815.0 [41] and all achieved p-values <0.001. The comparative fit indices for all eight models were in excess of 0.99. Taken together, the models employed fit the data well.

Figure 1 includes the SEM path diagram results regarding the relationship between the HEXACO and our two COVID outcomes. On the top panel, we see that three general personality traits, honesty-humility, conscientiousness, and openness, are positively related to social distancing compliance. We also find that extraversion is negatively related to self-reported social distancing, however this is only the case at the p < 0.100 level. Interestingly, no indirect effects of personality through ideology on social distancing were identified. On the bottom panel are the paths for lockdown support. Here we see that those scoring higher on honesty-humility, emotionality, and conscientiousness tend to be more supportive of government lockdown policies. Although not shown in the path diagram, two traits also have indirect effects on lockdown support through ideology: extraversion (−0.014; p = 0.018) and openness (0.031; p = 0.000).

FIGURE 1
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FIGURE 1. Unstandardized Path Coefficients (HEXACO). Notes. H = honesty-humility; E = emotionality; X = extraversion; A = agreeableness; C = conscientiousness; O = openness.

Figures 24 contain the path diagrams for the dark traits of Machiavellianism, psychopathy, and narcissism. As was the case for the HEXACO model, we find only direct effects of personality on social distancing compliance, and both direct and indirect effects (mediated through ideology) for lockdown policy support. Beginning with Figure 2, we see that two facets of Machiavellianism are related to compliance with social distancing. As expected, the antagonism facet is negatively related to compliance whereas the planfulness facet is positively related to compliance. The same pattern is identified with regards to direct effects of lockdown support. Here we also find indirect effects of two Machiavellianism facets through ideology on lockdown support: antagonism (−0.019; p = 0.014) and agency (-0.019; p = 0.013).

FIGURE 2
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FIGURE 2. Unstandardized Path Coefficients (Machiavellianism). Notes. Ant = antagonism; Ag = agency; Pl = planfulness.

FIGURE 3
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FIGURE 3. Unstandardized Path Coefficients (Psychopathy). Notes. IPM = interpersonal manipulation; AF = affective; LS = lifestyle; AN = antisocial.

FIGURE 4
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FIGURE 4. Unstandardized Path Coefficients (Narcissism). Notes. NVS = vulnerable narcissism; NGS = grandiose narcissism.

Figure 3 reports the results for psychopathy. We find partial support for our expectations regarding this trait in so far as the behavioral and antisocial aspects of psychopathy are in fact related to less compliance (see antisocial and lifestyle paths). Surprisingly, however, the affective facet, characterized by callousness and lack of empathy was insignificant. When considering lockdown support, only those scoring higher on the antisocial facet are significantly less supportive of lockdown policies. Three facets, affective (−0.027; p = 0.007), lifestyle (0.020; p = 0.018), and antisocial (-0.016; p = 0.030), also have indirect effects on lockdown support which are mediated through ideology.

Finally, Figure 4 contains the SEM results for grandiose and vulnerable narcissism. Considering social distancing, those higher in grandiose narcissism report significantly less compliance. The path for vulnerable narcissism, by contrast, is insignificant. We find a similar pattern for lockdown support: only grandiose narcissism is significantly related to less support for the lockdown. Grandiose narcissism also has a significant indirect path (−0.019; p = 0.003) through political ideology.

When it comes to personality and COVID behaviors, specifically social distancing, we observe direct and unmediated effects only. When examining support for lockdown policies, however, we observe not only direct effects of personality, but also a number of indirect effects mediated through ideology. In terms of who complies, the results of these analyses provide compelling evidence that prosocial traits (honesty-humility, conscientiousness, and openness), are related to more social distancing compliance whereas antisocial traits (Machiavellianism, psychopathy, and narcissism) are related to less compliance.

Part 2: Personality and Public Health Messaging

As the first part of our empirical analysis demonstrates, personality traits are important correlates of compliance with COVID-19 preventative measures and support for various COVID-19 lockdown policies. Public health compliance, however, does not occur in a vacuum. One vital component of the response to the current pandemic is public-facing messaging from a variety of sources including the government, public health officials, and the media (Ataguba and Ataguba, 2020; Banerjee and Rao, 2020; Sevi et al., 2020). There is also good reason to expect that personality traits will alter an individual’s receptiveness to this political/public health messaging (Mondak, 2010; Chen, 2015). The second part of our analysis, therefore, embeds a survey experiment with varying levels of information to better understand how different personality traits affect an individual’s receptiveness to public health messaging.

Literature and Expectations

Individuals are exposed to persuasive appeals on a daily basis. Whether it is governments trying to change citizen behavior, businesses trying to sell goods and services, or political actors seeking support in the form of votes and donations, persuasive appeals are everywhere (Matz et al., 2017). While only just emerging, there are already several pieces of research that explore the types of appeals and messages (i.e., norm based, moral, etc.) that could be used to encourage greater COVID-19 compliance (Bilancini et al., 2020; Everett et al., 2020; Jordan et al., 2020; Utych and Fowler, 2020). While there is not yet a consensus regarding the most effective communication strategies for COVID-19, there is a clear consensus that messaging matters. As Bilancini et al. (forthcoming) write, “the importance of finding efficient messages is clear, as they represent an easy and potentially scalable intervention: messages can be texted by phone, spread on social media, put inside postal boxes, and even voiced in the streets using cars equipped with a megaphone.”

Given that persuasive communication is routine, it is not surprising that there is a large literature regarding the effectiveness of such appeals (Moon, 2002; Hirsh et al., 2012; Dubois et al., 2016). On the political science side, scholars have largely accepted the role of political communication in shaping opinion and behavior, though this is often understood through subtle effects such as framing, priming, and agenda setting (Iyengar, 1990; Miller and Krosnick, 1997). Content and source cues have also been identified as important considerations when understanding the influence of political communication, such that partisanship and credibility are often intertwined in the public’s minds as they consider communication (Goren et al., 2009; Laustsen and Petersen, 2016). Reviewing the more psychological literature, research has found that tailoring messages to specific traits of the intended target appears to amplify the effect of the message (Hirsh et al., 2012; Matz et al., 2017). In this sense, different appeals are better suited for individuals with different traits.

Despite academic research on the effectiveness of tailoring, much of the work in public health communication focuses on the value of generalized public health communication without understanding how individual or situational differences influence receptiveness to these messages (Bernhardt, 2004; Freimuth and Quinn, 2004). This isn’t entirely surprising. After all, Freimuth and Quinn (2004:2054) note that “health communicators often struggle to understand the audiences they seek to reach.” In the Canadian case, a common theme in COVID-19 messaging has been a focus on the trajectory and spread of the disease with a near constant reporting of both current and projected rates of infections and deaths in Canada (Agius et al., 2020; Government of Canada, 2021) as well as on the global scale (CBC, 2021; Dunham, 2021). In focusing on this content, the strategy has been to broadcast information to the entire population (using government websites, press briefings, etc.) as opposed to engaging in more tailored messaging or narrowcasting.3 Under this approach, recipient characteristics are largely taken as static or constant. While such an approach may have been effective historically, as science and public health have become more politicized, broadcasting a single message may no longer produce the desired outcome (Motta et al., 2018, 2020). We should expect personality to make some individuals more receptive to public health messaging than others. In fact, a message that increases compliance for one recipient may, in fact, decrease compliance for another (Feng and MacGeorge, 2006). Political scientists and psychologists have long understood the conditional nature of the relationship between personality and behavior (Lavine and Snyder, 1996).

Overall, we are left with the following: messages tend to be more effective when tailored to psychological factors like personality; public health messages regarding the pandemic in Canada have been largely static (untailored) and applied to the population as a whole through broadcasting; and in the absence of tailored messages, there is evidence to suggest that recipient traits will alter receptiveness to that messaging. It is this latter issue that we are particularly interested in and seek to address here. The question is whether general public health reporting that focus on the trajectory of the pandemic (as currently employed by the government and media) will have a universal effect or whether there will be differences in receptivity based on specific personality traits. While it remains plausible to design messaging for specific personality traits, we focus on the predominant messaging strategy (universal messages based on the pandemic trajectory) and investigate whether these messages are more or less persuasive for some members of the population, conditional on their personality traits.

Given the limited research examining the HEXACO and Dark Triad as they relate to receptiveness to political appeals in general and health messaging in particular, we approach this as an exploratory analysis. Our expectation is that certain traits will make individuals more or less receptive to general messages that are framed around the scale of the pandemic (infections, deaths, etc.) but that a universal, unidirectional, effect is unlikely. Take, for example, individuals scoring higher in the trait of emotionality. These individuals are characterized as having heightened fear of physical danger and elevated levels of anxiety and stress. These individuals are also empathetic, caring, and prosocial. Given their personality profile, those higher in emotionality may be particularly susceptible to messages that provide examples of the number of infections and deaths, leading to greater public health compliance. At the same time, individuals who are callous, unempathetic, and self-interested may react quite differently.

Methods

The experimental analysis reported here utilizes the same dataset as described above but examines the conditional effects of a variety of public health messages on an individual’s likelihood of engaging in protective health behaviors. Thus, most procedures are identical to what has already been detailed. Below, however, we document the instances where methodological procedures differ. In particular we provide details on the experimental manipulation and our dependent variable.

Manipulation and Outcome

In addition to their current level of compliance (observational results discussed above), participants were also asked to think about their future behavior and how they would act should a second wave of the pandemic occur. Before answering this second set of questions, however, participants were randomly assigned to one of three information conditions where we manipulated the specificity of the projected number of additional infections and deaths that could occur during the second wave.4 Two experimental conditions, one focusing on Canada and the other on the World Health Organization, were adopted to reflect actual reporting practices at the time, which frequently included the scale of the pandemic in Canada and abroad (Agius et al., 2020; CBC, 2021; Dunham, 2021; Government of Canada, 2021). While the source of the information changes between the two experimental conditions (Canada vs. World Health Organization) to match the scale of the severity of the numbers being reported, recent polling data suggests that Canadians are satisfied with the COVID response by their national government as well as the World Health Organization (Mordecai, 2020). The change in the source of the information was, therefore, not expected to influence the results but to maximize external validity.

All three conditions began with the same preamble: “Health officials widely expect the coronavirus pandemic to follow a similar pattern to previous pandemics, with a “second wave” of infections occurring in the fall. This wave is expected to be similar in size or larger than the first wave of infections.” In the first condition, no further information was provided. Participants in the second condition read one additional statement that provided some Canadian-specific projections of infections and deaths for the second wave from the “Public Health Agency of Canada” (e.g., 30,000 to 40,000 additional infections) while participants in the third condition were provided with worldwide projections from the “World Health Organization” (e.g., six to seven million additional infections).

Following the vignettes, participants were asked to indicate the likelihood that they would engage in the following behaviors (0-never to 100-frequently): visit someone’s else’s home, have guests in their home, and gather outdoors with people who did not live with them. Items were reversed scored so that higher scores indicated more compliance with social distancing measures and, similar to part 1, scores were averaged across all three items to produce one score indicating compliance (Supplementary Material Table S5 contains the rotated factor loadings from the PCA). We utilize these responses as a post-treatment measure of public health compliance. To generate our outcome variable, we subtract the aggregated pre-treatment responses to the public health behavior questions from the post-treatment responses. Positive numbers, therefore, represent a higher likelihood of engaging in the behaviors relative to their responses pre-treatment and negative numbers represent a lower likelihood of engaging in the behaviors relative to pre-treatment responses.

Part 2: Experimental Results

We begin our analysis by looking at the results pooled across the various information conditions, presented in Table 3. While these results aren’t experimental per se, they allow us to see if the mere presence of public health information about a second pandemic wave would increase (or decrease) public health compliance. Since we use a pre-post difference measure, any significant effects here should indicate a change in public health compliance between an individual’s stated compliance prior to reading a vignette about a second pandemic wave and their responses after the vignette. Since we pool across conditions, this table simply shows whether personality traits affected receptiveness to any public health messaging about the second wave. In other words, does being confronted with the possibility of a second wave (regardless of its scale) influence compliance?

TABLE 3
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TABLE 3. Linear regression analysis of effect of public health messaging (pooled) on public health compliance.

As the results show, there is a limited effect of general personality on messaging across the pooled conditions: the trait of honesty-humility leads to less projected second-wave compliance. Interestingly, this may reflect a true tendency towards less compliance or it could demonstrate a tendency towards honest survey response answers. If agreeing to engage in social distancing in the face of a second pandemic wave is considered socially desirable, then honesty-humility may predict more honest answers but not necessarily lower responsiveness to messaging. Turning to the Dark Triad, we again see only a limited effect for personality. We do, however, see that those scoring higher on the interpersonal (manipulation) facet of psychopathy are less responsive to messaging. As a whole, however, these results demonstrate that, pooled across conditions, there is little effect for personality traits in driving responsiveness to public health messages.

Of course, examining pooled results misses the potential for differential effects based on the content of the messaging. Thus, while personality may not play a particularly strong role in responsiveness to messaging writ large, it’s possible (and likely) that specific types of messages produce responses that are contingent on personality. To examine this possibility, Table 4 presents the results with interactions between the various personality traits and whether an individual saw the control condition (no specific information) or one of the two treatment conditions where personality appears to play a modest role when accounting for the content of the message. Here we pool the two informational conditions together as there were no significant differences between these conditions. In this sense we are comparing those who received general information about the possibility of a second wave to those who received more specific information about the second wave, including projections of infections and deaths. Exploring differences between the control and treated conditions, we find that there is a significant interaction effect for the treated condition assignment with emotionality. That is, while emotionality does not predict greater public health compliance when individuals are reminded about the potential second wave (Table 3), higher levels of emotionality do predict a higher likelihood of complying when the information contains projected deaths and infections. We also see the opposite effect for those scoring higher on the antagonism factor of Machiavellianism. In this case more specific information regarding deaths and infections results in lower compliance.5

TABLE 4
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TABLE 4. Linear regression analysis of effect of public health messaging on public health compliance, by control or treatment condition assignment.

Discussion and Conclusion

This article adds to the emerging literature on personality and public health compliance, specifically as it relates to COVID-19 social distancing and support for government lockdown policies. Our study benefits from a large representative sample and fulsome batteries of a variety of measures of personality (HEXACO, FFMI, etc.). In fact, we utilize more than 150 unique items to assess the traits studied here. As we expected, the observational results clearly reveal that both general and dark traits are related to public health compliance in predictable ways. When examining compliance with social distance measures, we find honest rule-followers (honesty-humility), careful and deliberate planners (conscientiousness), and inquisitive and unconventional thinkers (openness) exhibit greater compliance with social distancing. We also see that the entitlement, callousness, and self-interest that characterize the Dark Triad traits also result in lower levels of compliance. Turning to lockdown support, we find that a wider range of personality traits are significant. Here we see that each of the Dark Triad traits are negatively related to support for government lockdown policies while general traits such as emotionality, honesty-humility, and conscientiousness are positively related. Interestingly, emotionality does not exert consistent influence over the two outcomes. Individuals scoring higher in this trait support government lockdown action to slow the spread of the virus even if it doesn’t translate into higher levels of compliance for themselves personally.

The experimental results show that even small differences in messaging (like including or excluding specific information about the number of infections and deaths) can alter the effect of some personality traits on compliance. These results, of course, do not demonstrate overwhelming effects of personality conditional on treatment assignment. We venture, however, that this illustrates the potential for public health messaging to exert a differential effect based on the recipient’s personality traits. For some individuals, such as those higher on emotionality (fearful, anxious, sentimental, etc.), being confronted with more information about the severity of the second-wave resulted in higher levels of self-reported social distancing compliance. At the same time, however, we find evidence that exposure to the same public health messaging reduced compliance among those scoring higher on the antagonism factor of Machiavellianism. Unintended messaging effects around COVID-19 have been reported elsewhere. In a study of age-based messaging strategies, Utych and Fowler (2020: 7) report that providing information on the threats to older individuals has no positive effects on behavior or attitudinal change. In fact, they find that providing this information creates negative effects. As they conclude “when targeting messages towards younger Americans, a focus on threats to older adults could potentially be counterproductive.”

The findings reported here have a number of important implications. First, the observational analysis reveals that while much emphasis has been placed on factors like partisanship and ideology, individual differences in personality are also an important part of the puzzle. Second, our experimental analysis reveals some potential unintended messaging effects whereby exposure to public health messaging leads to less social distancing compliance. These unintended effects demonstrate an important challenge faced by politicians and public health professionals in their response to the pandemic. While we may hope that a universally appealing message could be developed to encourage greater compliance among the populace writ large, our results suggest that this may be a difficult task to achieve.6 In the absence of a universally appealing message, however, the results of our observational and experimental analysis combine to suggest that communication tailoring may be an avenue worth pursuing. In the age of big data (Kosinski et al., 2013) where psychological targeting already occurs (Hirsh et al., 2012; Matz et al., 2017), public health messages that are targeted to match a recipient’s individual personality may be an important tool to encourage compliance and slow the spread of the virus. While the specific messages that may produce these effects is beyond the scope of this manuscript, we encourage this type of work from both academics and public health professionals.

While this study makes a number of important contributions, it is not without limitations. First, this is a cross-sectional study that was conducted during the first wave of the pandemic. Unlike a longitudinal study that collects data at multiple points in time, we cannot actually measure second-wave compliance. Instead, our social distancing measures and planned future compliance rely on self-reporting. Due to social desirability, our self-report measures may overestimate compliance. While our approach is consistent with the majority of the literature on the subject, it is in contrast to a small number of studies that have been able to draw upon behavioral measures using cellphone mobility data (see Wright et al., 2020; Jay et al., 2020). Second, while we focus on social distancing and support for lockdown policies, these are not the only measures that have been used to slow the spread of COVID-19, nor are they the only aspects of public health compliance (others include hand washing, mask wearing, etc.). Third, while we include a robust set of controls in addition to our various personality traits, we are unable to account for all possible alternative mechanisms such as fear, risk tolerance, anxiety, and others. Fourth, it is possible that our informational vignettes were not powerful enough to illicit more nuanced responses. Finally, while we draw on a large and fairly representative sample, it was generated from an online non-probability pool of respondents which may have implications for generalizability. Limitations aside, our results show that individual differences in personality are an important part of the puzzle for understanding who does and does not comply with public health guidelines for social distancing.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Carleton University Research Ethics Board-B (CUREB-B). The patients/participants provided their informed consent to participate in this study.

Author Contributions

JB and SP developed the survey instrument as part of a larger project and conceptualized the paper. All three authors developed the specific experimental manipulation from Part 2. JB and PC conducted data analyses. All three authors participated in writing separate sections of the paper and in editing the final draft.

Funding

This research was supported by a SSHRC Insight Development Grant (File #: 430-2018-00950).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpos.2021.660911/full#supplementary-material

Footnotes

1The survey included two attention check questions to ensure participants were attentive. Participants who failed the attention checks, along with speedsters and straight liners, were removed from the data.

2A table of descriptive information for every control variable, personality inventory, and outcome variable is available in the Supplementary Materials (Table 4S).

3This broadcasting approach to the pandemic has been criticized. Hodson (2020), for instance, writes that the Canadian “government and public health communicators are generally using old control-the-message tactics to reach people, and this is a losing proposition.”

4Balance tests show that age, sex, income, education, nor ideology predict condition assignment. Nonetheless, out of an abundance of caution, we include these as controls in our analyses. Results are substantively similar when the control variables are excluded.

5We extend our analysis in the supplemental materials. Here we report the results of a number of marginal effects calculations that reach marginal significance (p < 0.10).

6We note, though, that with political and public health messaging, the content of the message may alter the traits that predict compliance. Thus, while we find that certain traits lead to greater or less compliance with our experimental messages that focus on the trajectory of the virus, there likely exist alternative messaging strategies that could produce entirely different patterns of results.

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Keywords: personality, HEXACO, dark triad, social compliance, public health messages

Citation: Blais J, Chen PG and Pruysers S (2021) Who Complies and Who Defies? Personality and Public Health Compliance. Front. Polit. Sci. 3:660911. doi: 10.3389/fpos.2021.660911

Received: 29 January 2021; Accepted: 20 May 2021;
Published: 21 July 2021.

Edited by:

Pedro Riera, Universidad Carlos III de Madrid, Spain

Reviewed by:

Francesc Amat, University of Barcelona, Spain
Julia Partheymueller, University of Vienna, Austria

Copyright © 2021 Blais, Chen and Pruysers. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Julie Blais, julie.blais@dal.ca

These authors have contributed equally to this work

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