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A comparative analysis of sports
gambling in the United States
Brendan Dwyer
Virginia Commonwealth University, Richmond, Virginia, USA
Ted Hayduk III
New York University, New York, New York, USA, and
Joris Drayer
Temple University, Philadelphia, Pennsylvania, USA
Abstract
Purpose –The purpose of the study was to explore differences in demographic, self-concept and fan behavior
factors that predict sports fans who bet and those who do not in legal and illegal gambling jurisdictions in the
United States (US).
Design/methodology/approach –Seven hundred and eighty-nine sports fans and bettors from 47 states
were surveyed through a partnership with a major media provider in the US. A number of demographic items,
theoretically defined factors and fan behaviors were measured, and several two-way MANOVAs with
interaction effects were conducted to determine differences between those who gamble and those who do not in
legal and illegal jurisdictions.
Findings –Statistically significant differences between those who bet and those who do not were found.
Bettors look different and come from different backgrounds and locations. Psychographically, they were
clearly more narcissistic. They also indicated a higher social identity and self-worth, yet perceived themselves
as less worthy members of important social institutions. In general, sports bettors out consumed non-bettors as
it relates sports spectatorship. In terms of differences between the groups across legal and illegal states, only a
few factors were impacted. Self-worth and personal identity were factors that were found to be different
between groups and jurisdictions as well as DFS participation.
Originality/value –The US sports gambling market is expected to grow US$6.5 billion in the next five years,
yet very little is known, psychographically, about the US sports bettor. Sports gambling research, especially
from a marketing perspective, has primarily been limited to Australia and the United Kingdom. This paper
contributes to what we know about sports gambling and the emerging US market. In particular, the results
uncovered fundamental trait, demographic and behavioral differences between US sports fans and sports
bettors. The findings also provide similar foundational differences and similarities between those who bet in
states with legal and illegal gambling.
Keywords Self-concept, Sport marketing, Sport consumer behavior, Sport fan behavior, Sports betting,
Sports gambling
Paper type Research paper
The sports gambling landscape in the United States (US) was altered drastically in May 2018,
and it is expected that the market will open up rapidly among the individual states (Matheson,
2021). As of early 2021, 19 states are operating some form of legalized sports wagering; an
additional five will be operational by the end of the year. Since 2018, another 20 states have
filed some form of sports wagering legislation in the wake of the US Supreme Court’s decision
to deregulate sports betting (Rodenberg, 2020). That means nearly 90% of states already
participate or proposed a bill to participate in sports betting since 2018. With more states in
the fold and more customers in the market, investors and technology firms are betting on the
financial return of a multi-billion-dollar windfall. The implications of sports betting in the US
are hard to know ex ante, but if states newly introduced legal structures emulate other major
betting markets like the United Kingdom (UK), the US market may expand by as much as
$600 billion in wagers, with sportsbooks competing to earn $32 billion in profit (Matheson,
2021). Clearly, there are huge implications for executing this market expansion optimally.
To do so, states’legislation will need to properly incent individuals to learn about and try
their hand at sports betting –still largely a taboo practice in the US (Hing et al., 2017a).
Sports
gambling in
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States
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/1464-6668.htm
Received 25 March 2021
Revised 10 August 2021
21 September 2021
Accepted 22 September 2021
International Journal of Sports
Marketing and Sponsorship
© Emerald Publishing Limited
1464-6668
DOI 10.1108/IJSMS-03-2021-0074
Research has explored the motivations and determinants of betting behavior (Deutscher et al.,
2019;Dwyer et al., 2019;Lamont and Hing, 2020;Paul and Weinbach, 2010, among others), but
rarely has there been a focus on understanding how impediments to sports betting such as
legality affect the consumer typologies that engage in the activity. For non-bettors, there
remain a number of barriers for participation. These include, but are not limited to, a lack of
understanding, lack of access and technological hurdles (Gainsbury et al., 2020;Hing et al.,
2017a). Furthermore, sports gambling is frequently connected with “problem gambling”in
the US, meaning both come with a negative stigma in this expanding market (Lopez-Gonzalez
et al., 2019). For decades, it was operated in very few places legally and a number of places
illegally (e.g. bookmakers, off-shore websites). Sports gambling was associated with financial
ruin, social isolation and other forms of dependency (e.g. alcohol or drug-use; Hing et al.,
2017a). As a result of this stigma, general sports fans and potential customers may now be
reluctant to participate.
Despite the rapidly evolving legal landscape, sports gambling is still only legal in 38% of
states. Thus, those who gamble in illegal jurisdictions must make additional sacrifices to
gamble, such as travel across state lines or face the risk of fines or jail time to bet illegally
within their jurisdiction. The difference between legal and illegal gambling is not overtly clear
in the US. In most states, some form of gambling is likely legal; however, it is still highly
regulated. For instance, private betting establishments (e.g. bookies) are illegal though they
remain widely accessible. Sport betting pools (e.g. March Madness), small-time poker clubs
and some forms of fantasy sports are also technically illegal in most jurisdictions; however,
the enforcement is difficult. Taken together, there are a number of people who gamble
regardless of legality and jurisdiction, and the illegal market is substantial. Holden (2018)
estimated illegal sports bettors spent $150 billion in 2017. In addition, according to a 2020
study by the American Gaming Association (AGA), illegal markets remain a prominent
vehicle for sports gamblers. To account for these nebulous gambling concepts, the current
study directly asked participants if they bet on a game through a sportsbook or bookie. In
addition, states were categorized as legal or illegal based on the state law associated with this
form of gambling (State Gambling Laws, 2021).
Despite an unequal access to legalized sports gambling, content related to the activity is
becoming increasingly mainstream. One can see betting content on sport analysis shows like
ESPN’s SportsCenter or GameDay, and sportsbooks like DraftKings and FanDuel are also
major sponsors to professional sports teams and leagues. This mixture of unique barriers and
incentives has the sports gambling industry in a distinct position of growth that provide both
a challenge and an opportunity for providers and regulators looking to understand who
makes the jump from sports fan to sports bettor.
As a result of this opportunity, the purpose of the study was twofold: (1) to explore
differences in the demographics, psychographics and sport fan behaviors in those who
gamble and those who do not, and (2) to examine the interactional differences in the same
factors between those who gamble and those who do not and in states where gambling is legal
and illegal. In other words, this consumer-focused study investigates the traits, values and
attitudes that predict gambling behavior under the varying legal conditions.
To understand these potential differences in betting behavior holistically, it was
important to examine the idea of self-concept, and as a result, the current study followed self-
concept theory. The decision to gamble is multidimensional, and one’s self-concept is broad; it
encompasses factors including personal and social identity, personality traits and self-worth
(Gecas, 1982;Marsh and Ayotte, 2003). Self-concept also guides behavior, as individuals tend
to behave in ways that reinforce one’s perceptions of self (Gration et al., 2011). Previous
gambling research has explored the self-concept in unison with betting behavior while
studying financially-focused gamblers, impulsivity and the stigma of gambling (Hing et al.,
2016a;Hodgins and Holub, 2015;Tabri et al., 2017,2019). However, as the landscape changes
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and more consumers enter the sports gambling market, there presents a new opportunity to
learn more about the fundamental and holistic make-up of sports gamblers.
Given the consumer focus of the study and the intention to study demographic factors,
self-concept factors and sport fan behaviors, these items were collectively defined and
discussed as sport consumer traits for the remainder of the study. To guide this study, the
following research questions were developed:
RQ1. To what extent are there differences in demographic factors between those who
gamble and those who do not?
RQ2. To what extent are there differences in self-concept factors between those who
gamble and those who do not?
RQ3. To what extent are there differences in sport fan behaviors between those who
gamble and those who do not?
RQ4. To what extent does the current legal status of sport gambling in one’s home state
moderate the relationship between sport consumer traits and gambling behavior?
The US stands on the precipice of widespread sports gambling adoption, yet much can be
learned about the differences between those who gamble and those who do not. Also, given
the additional barriers facing bettors in illegal states, the differences between legal and illegal
jurisdictions may provide useful information for those stakeholders looking to both protect
consumers while growing sports betting’s popularity.
Review of literature
The self-concept
One’s self-concept has many definitions, and has been studied for decades in the fields of
education, psychology, social psychology and marketing. In general, it is viewed as the
perspective individuals hold of themselves, and there are a few components agreed upon
across disciplines. They include: it is displayed uniquely with each individual, it ranges from
negative to positive, it changes over time and with context, and it influences one’s life (Turner,
2010). Self-concept is also multidimensional, and while the context may determine which
dimension requires examination, the overarching factors confirmed by researchers over time
include: self-esteem, self-worth, self-image, ideal-self, identities (personal and social), and
personal traits and values (Elliot, 1984;Gecas, 1982;Marsh and Ayotte, 2003).
Self-concept impacts an individual in many ways. It reinforces preconceived notions
positively and negatively, it builds confidence, and it influences behavior (Kr€
oner and
Biermann, 2007;Swann et al., 2007). It is the behavioral impact that has led to the most
academic inquiry. From standardized testing to social media obsession, self-concept theory
has been applied to a number of contexts. The areas of educational achievement, social
psychology, personality have received a great deal of attention. In 1982, Gecas reviewed the
application of self-concept theory in the field of social psychology and found a number of
challenges related to dimensionality, measurement and maintenance over time. A few
dimensions of self-concept reported by Gecas included, personal and social identities, self-
esteem, and self-efficacy. Around the same time, Elliot (1984) tested a multidimensional model
of self-concept and found factors in a one’s life could impact their internal self-concept and
social self-concept independently as well as in parallel.
Researchers Marsh and Ayotte (2003) and Marsh et al. (2006) among others continued to
examine and validate the multidimensional impact of self-concept paired with personality
traits on well-being and behavior. In 2011, McConnell proposed the multiple self-aspects
framework (MSF) which accounts for self-concept representation while emphasizing one’s
multiple, context dependent self-aspects determined by past experiences. Therefore, between
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an individual and the multiple dimensions of self-concept, there are several self-aspects such
as father,teacher,coach,neighbor, and son. This framework has specific meaning in the
current context, as gambling is only one of several possible self-aspects an individual may
possess.
As extension of this line beyond academics and social psychology, marketing researchers
have explored how one’s perception of self impacts their consumer behavior. Gration et al.
(2011) found that “festivalgoers,”driven by the potential negative self-image, differentiate
themselves from the “tourist”tag. A “tourist”in their mind is less authentic; this
differentiation was not only in their head, it led to more avid consumption. Fox et al. (2018)
utilized the concept of narcissism as a mechanism to measure and represent one’s self-
concept, and found narcissism positively relates to millennials’attitudes and intent to interact
with selfie-marketing.
In gambling specifically, a financially focused self-concept has been examined (Tabri et al.,
2017,2019). Tabri et al. (2017) developed the Financially Focused Scale (FFS), as a mechanism
for one’s financially focused self-concept, and paired it with the Big Five personality traits to
examine disordered gambling. The authors found a positive relationship between one’s
financially focused self-concept and problem gambling; they also found one’s personality
traits appear to be independent to the degree to which an individual is financially focused.
Within the context of gambling, personality traits, identity and self-worth have been explored
in parallel with behavior and self-concept (Hing et al., 2016a;Tabri et al., 2017). Thus,
opportunities exist to utilize these and other dimensions of the self-concept to examine
gambling behavior.
The following sections highlight the self-concept factors supported by the literature that
may impact one’s decision to gamble. For instance, dimensions of narcissism relate directly to
one’s self-concept and have been found to impact one’s competitiveness and coping skills
while gambling (Pace et al., 2020). Identity, in its many forms, and self-worth are also
foundational to one’s self-concept and have been linked to gambling behavior. Lastly,
personal values such as political ideology not only drive one’s self-perception, they also
provide evidence of divisive behavior including gambling activities (Jost, 2017). Taken
together, self-concept has played an important role to this point in examining gambling, but
there remains a need to explore self-concept under varying contexts like sports gambling,
product adoption and legal status. The latter context is particularly important when one
considers the inherent risks of punishment, money retrieval and the effort it takes to bet in
illegal jurisdictions.
Narcissism and gambling
Narcissism has been a long-standing construct in the psychological literature, first
introduced by Ellis (1889). In this initial form, it was used to describe a tendency for
individuals to become absorbed in self-admiration. The construct was subsequently adopted
by Freud (1957), who utilized it to motivate much of his work related to the id, the ego and the
superego. Narcissism is classified by a number of behavioral and psychological phenomena
such as self-aggrandizement, a fragile self-esteem, megalomania, striving to be loved via a
perfectionist orientation, exhibitionism, feelings of entitlement, intolerance of criticism, and
suspiciousness and jealousy of others.
Research has shown that narcissistic personality traits are linked with foundational
personality characteristics like sensation-seeking (Emmons, 1981) and impulsivity (Foster
and Trimm, 2008;Vazire and Funder, 2006). As a consequent of that relationship, research
has also linked narcissism with behaviors that are risky in nature, as narcissistic individuals
seek to stimulate elevated levels of self-admiration or perceived task competence after
successfully navigating a risky situation (Foster et al., 2009b). Examples of such behaviors
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include aggressive driving (Britt and Garrity, 2006), binge drinking (Wood, 2010), and
making precarious investments (Foster et al., 2009a).
Most applicable to the present study, prior research rendered a positive and significant
linkage between narcissism and gambling behavior (Britt and Garrity, 2006;Lakey et al.,
2008). In particular, Pace et al. (2020) studied young adults and adolescents in Italy and found
narcissism was a significant predictor of sports gambling behavior. Overall, this research
establishes that narcissistic individuals continually glorify the attainment of superficial
rewards such as money or popularity as justification for their self-aggrandizement. They also
seek to develop and engrain an internal locus of control. Thus, reward-orientation and
overconfidence are important factors impacting the narcissism –gambling relationship
(Lakey et al., 2008). Gambling offers the chance for narcistic individuals to prevail under
uncertainty. Importantly, the short duration and repetitive nature of games leverages
impulsivity while also ensuring a nonzero likelihood of isolated “success”instances.
Identity and gambling
Narcissism presents an extreme view of one’s self-concept. Indeed, success at gambling,
particularly in skill-based games, may enhance one’s self-esteem and overall self-concept
(Volberg et al., 1997). However, in the context of gambling, both positive and negative self-
concept can play an important role in the formation of specific gambling behaviors. In a
preliminary analysis of self-concept factors, Lamont and Hing (2020) uncovered the nine
overlapping themes that drive sports betting: Demonstrating competence, Sociability,
Winning money, Heightened involvement, Excitement, Cultural influences, Habit, and
Inducements. From a self-esteem perspective, low self-esteem has long been associated
with problem gambling and has been found to be one of the most predictive psychological
states for problem gamblers (Volberg et al., 1997;Walters, 1994). For some, especially men,
gambling is seen as an activity which might increase one’s self-confidence (Wu et al., 2012).
Mageau et al. (2005) stated that “people who seldom feel competent or accepted in their daily
lives might cling to gambling as their only source of competence or self-worth”(p. 115).
The concept of self-worth also connects to one’s perceived worth specifically within social
groups (Hing et al., 2016a). In other words, gamblers may feel a lack of belonging at home or in
their professional environmental but may find a heightened sense of self-worth while
gambling. Research suggests that problem gamblers are often “embedded in a subculture
where gambling is acceptable”(p. 336, Volberg et al., 1997). Within this subculture, gamblers
earn valuable social status and a boost to overall self-worth. In a study of Chinese gamblers,
Tao et al. (2011) found earning recognition from others was a primary reason for gamblers to
play. They further found respondents considered the casino a place where people could
express their “true selves.”Ultimately, the research suggests that one’s self-concept can be
context-dependent and that one’s primary and secondary social group play a crucial role in
one’s self-concept.
Political ideology and gambling
The construct of political ideology has commanded attention from a range of researchers in
social, personality and political psychology (Jost et al., 2009). Political ideology refers to the
extent to which an individual identifies with one end of the conservative-progressive
ideological spectrum. In developed nations, ideologies are rooted in consistent sets of moral
and ethical philosophies that provide individuals scaffolding for their perceptions, behaviors
and attitudes (Hutton et al., 2014). The area’s most salient to defining one’s political ideology
are economic individuality, civil rights, tolerance, equity, and inclusion, the structure and
regulation of markets, and environmental sustainability/conservation (Jost, 2017). Political
ideology is also regarded as a fluid construct at the individual level (McClosky and Zaller,
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1984), meaning that one’s degree of identification can wax and wane over time, or may in fact
re-orient itself around the alternate set of philosophical “anchors.”
Importantly, recent work in consumer psychology has highlighted the central role of
political ideology to consumer behavior and perceptions. Political conservatives and
progressives diverge on a wide range of psychological factors relevant to consumer behavior,
such as the “big five”personality traits (Sibley et al., 2012), preferences for cognitive
processing (Jost et al., 2017), consumer ethos and values (Braithwaite, 1998;Jost, 2017) and
even neurological and physiological responses to marketing stimuli (Smith et al., 2011a,b). In
sum, a consumer’s political ideology impacts their consumption tastes, patterns of behavior
and leisure activity preferences in more significant ways than originally thought (Jost, 2017).
Research has explored the link between individuals’political ideology and their gambling
attitudes and behaviors. In one sense, gambling violates the philosophical tenants of
traditional conservativism in a number of ways. First, gambling leverages high uncertainty
to motivate the exchange of capital, and as such it is antithetical to traditional conservative
values around financial management (Giacopassi et al., 1997). This work stresses that
ideological conservatives are less likely to support or participate in risky investment
strategies. Second, gambling is typically regarded as a “vice”activity, akin to alcohol
consumption or drug use (Orford et al., 2009;Youn et al., 2000). As such, it could be said to be
inconsistent with conservative ideologies endorsing personal responsibility and
accountability and the subjugation of hedonism and frivolity.
Political ideology and sports betting
Importantly, the general act of “sports betting”is frequently investigated as a disparate, and
in fact a special case of, the more general construct of “gambling”(e.g. Fang and Mowen, 2009;
Hing et al., 2017a;Lopez-Gonzalez et al., 2017, etc.). Thus, sport consumers could display
different inclinations towards gambling than consumers at large.
Traditional sport consumption behaviors are typically tied to ideological conservativism
(e.g. Carney et al., 2008;Jost, 2017). In these studies, researchers unobtrusively examined the
personal belongings of individuals’homes and work places, coding objects according to the
Personal Living Space Cue Inventory. This work documented that conservatives’belongings
were more likely to include sports memorabilia and merchandise than were progressives’
personal spaces. Other work documented that watching sports on TV was highly predictive
of individuals’self-perceived patriotism and conservativism (Prisuta, 1979). Recent work
found that sports consumption was positively associated with conservative ideologies such
as individualistic attributions for career success and support for the US military (Thorson
and Serazio, 2018).
Overall, the positive linkage between traditional sport consumption behaviors and
conservative sentiments suggests that, if viewed as a simple extension of traditional sport
consumption behaviors, ideological conservatives could be more amenable to sports betting
than progressives, who may be less likely to follow sports in the first place.
Sports gambling in illegal environments
The debate around legalized sports betting in the US typically revolves around several
common dimensions. Vacca (2014) mentions positive impacts on employment, revenue for
government and service-related industries, and a reported decrease in crime associated with
the deregulation of gambling. Among the negatives, Vacca and others have suggested that
sports betting jeopardizes the integrity of sport contests and creates public health concerns
(Holden, 2018;Humphreys and Perez, 2012).
Despite this ongoing debate, the internet has made illegal gambling quite accessible.
Spapens (2014) stated: “Nowadays, an operator only needs to acquire a license for online
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gambling in a single country to attract players from all over the world, although it may be
formally illegal for it to do so in jurisdictions that prohibit Internet gambling”(p. 403). As
such, Holden (2018) claimed that $150 billion in illegal sports bets was placed in 2017 and
Jawad and Griffiths (2008) found that there were as many as 2,500 gambling websites in
operation including nearly 600 sports and race books (as cited in Humphreys and
Perez, 2012).
Research on the aforementioned public health concerns is limited and there is little
research on the characteristics of people who place illegal bets. However, Spapens (2014)
stated “it is much more difficult to prevent addiction when players can access gambling
websites at any given hour of the day”(p. 403). The monitoring of online problem gambling is
further complicated when the gambling occurs via offshore websites that are often funded by
organized crime groups (Spapens, 2014).
Research by Humphreys and Perez (2012) and Mahan et al. (2012) did not specifically focus
on illegal gambling but examined the attitude and behaviors of sports bettors prior to the
overturning of PASPA. Together, they suggested that sports gamblers are
disproportionately young, affluent males, and they engage in sports gambling as a
complement to their traditional sports fandom. More recently, Shapiro et al. (2020) examined
consumers responses to gambling restrictions using a scenario-based experimental design.
Despite the prominence of illegal online sports betting, their research found some evidence
that anti-gambling laws were indeed effective. They further suggested that legalization
would have a dramatic impact on sports betting participation. Given the rapidly changing
legal landscape in the United States, more research is needed on the differences between
attributes and attitudes of sports bettors and how those might trigger unique behaviors
based on the legal status of the activity in their location.
Method
Sample and procedures
A stratified sample of 789 sports fans (both bettors and non-bettors) were selected from a
larger national data collection on sports gambling, fandom and media consumption
(N54,206). The strata for the current study included (1) previous gambling experience and
(2) state residence by sports gambling legality. From the larger pool of 4,206 participants, 186
had gambling experience and resided in a legal state. With that total in mind, we created three
stratified random subsamples of similar sizes from the remaining respondents (191 non-
bettors from legal states, 201 bettors from legal states, and 201 non-bettors from illegal
states). The sum of the four subsamples equal 789 participants.
Table 1 provides sample sport consumer traits for bettors and non-bettors. Table 2
provides the same for those in legal and illegal states. As a manipulation check, the bettor
subsample scored significantly higher on a six-point interest in gambling scale, 5.23 and 2.75
respectively. Yet, there was no statistical difference between those in legal and illegal states.
The data were collected online via survey questionnaire between September 2019 and
January 2020 in collaboration with a major media partner.
Materials
The survey questionnaire consisted of 95 questions of which 77 were from four scaled
instruments. Narcissism was measured using Raskin and Hall’s (1979) 40-item Narcissistic
Personality Inventory (NPI) [1]. As noted previously, narcissism is associated to gambling
behavior especially as it relates to risky behavior such as participating in illegal gambling
(Lakey et al., 2008). This seven-factor instrument has been utilized for decades and has
provided valid and reliable scale scores in a variety of contexts including, but not limited to
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Bettors (N5377) Non-bettors (N5402)
Age Mean 41.2 Relationship Married 53% Age Mean 50.9 Relationship Married 52%
Median 42 Status Single 37% Median 50 Status Single 30%
St. Dev 11.9 Divorced 7% St. Dev 16.0 Divorced 13%
Generation Baby Boomer 9% Widowed 2% Generation Baby Boomer 39% Widowed 4%
Gen X 57% Income Under $50,000 31% Gen X 43% Income Under $50,000 42%
Millennial 23% $50,000–99,999 38% Millennial 11% $50,000–99,999 39%
Gen Z 10% $100,000–149,999 17% Gen Z 7% $100,000–149,999 12%
Sex Male 81% $150,000 or more 14% Sex Male 69% $150,000 or more 8%
Race/ Caucasian 64% Children Under 18 59% Race/ Caucasian 77% Children Under 18 30%
Ethnicity Black 27% Employment Full-time 75% Ethnicity Black 17% Employment Full-time 46%
Asian 3% Part-time 10% Asian 3% Part-time 8%
Hispanic/Latino 5% Not employed 8% Hispanic/Latino 2% Not employed 12%
Other 1% Retired 6% Other 1% Retired 27%
Region Northeast 20% Education High School 18% Region Northeast 34% Education High School 21%
Midwest 20% Some college 23% Midwest 20% Some college 24%
South 40% Vocational 3% South 33% Vocational 6%
West 20% Bachelors 11% West 13% Bachelors 31%
Interest in Mean* 5.23 Post-graduate 23% Interest in Mean* 2.75 Post-graduate 16%
Gambling St. Dev 1.06 Gambling St. Dev 1.86
Note(s): *Measured on a 6-point scale from “not at all interested”to “very interested”
Table 1.
Sample demographics
–bettors and
non-bettors
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Legal states (N5377) Illegal states (N5402)
Age Mean 47.3 Relationship Married 52% Age Mean 45.0 Relationship Married 53%
Median 46 Status Single 32% Median 43 Status Single 34%
St. Dev 14.6 Divorced 12% St. Dev 15.0 Divorced 10%
Generation Baby Boomer 27% Widowed 4% Generation Baby Boomer 23% Widowed 3%
Gen X 51% Income Under $50,000 35% Gen X 49% Income Under $50,000 33%
Millennial 17% $50,000–99,999 41% Millennial 17% $50,000–99,999 56%
Gen Z 6% $100,000–
149,999
14% Gen Z 10% $100,000–
149,999
16%
Sex Male 78% $150,000 or more 9% Sex Male 72% $150,000 or more 12%
Race/ Caucasian 75% Children Under 18 43% Race/ Caucasian 68% Children Under 18 44%
Ethnicity Black 17% Employment Full-time 60% Ethnicity Black 23% Employment Full-time 62%
Asian 3% Part-time 9% Asian 3% Part-time 9%
Hispanic/
Latino
4% Not employed 12% Hispanic/
Latino
4% Not employed 13%
Other 1% Retired 19% Other 2% Retired 15%
Region Northeast 65% Education High School 20% Region Northeast 4% Education High School 21%
Midwest 10% Some college 24% Midwest 23% Some college 4%
South 14% Vocational 5% South 51% Vocational 21%
West 11% Bachelors 31% West 21% Bachelors 35%
Interest in Mean* 3.94 Post-graduate 19% Interest in Mean* 3.97 Post-graduate 19%
Gambling St. Dev 1.95 Gambling St. Dev 1.99
Note(s): *Measured on a 6-point scale from “not at all interested”to “very interested”
Table 2.
Sample demographics
–legal and illegal
states
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medicine, education and sport. The seven factors include Authority,Self-sufficiency,
Superiority,Exhibitionism,Exploitativeness,Vanity and Entitlement.
Identity was measured using a seven item, two-dimensional instrument (personal and
social) created specifically for this study. Participants were asked to rate the importance
of each of the following personal identities: (1) Relationship, spouse, partner, (2) family,
(3) student or employee, and social identities: (1) American, (2) sports, (3) religion and
(4) political. As noted previously, self-concept is multi-factorial and the relationship
between gambling and identity factors has proven impactful. Thus, personal affiliations
such as close relationships and profession and social institutions like sports, religion,
politics and national identity were chosen as research suggests these self-representations
may impact one’s gambling behavior (Uecker and Stokes, 2016;Westberg et al.,2017).
To measure Self-worth, the same items and factors were utilized; however, participants
were asked to rate their level of worth for each personal affiliation and level of uselessness
for each social affiliation. Scale development comes in many forms (Morgado et al.,2017)
and while the potential to utilize an existing scale was there, our goal was to examine
common personal and social identities and institutions. In other words, it was paramount
for the purposes of this study that the same identity items (personal and social) were
assessed as it relates to self-worth. Defining the intended use of a scale is an initial, and for
us, it was a clear need to remain consistent between constructs (Danner et al., 2016). In
addition, parsimony was important. This was a large data collection in conjunction with a
major media partner. In particular, given the focus on self-concept and the
multidimensional aspects surrounding personal and social identity and self-worth, it
was important to ensure items that matched our particular needs and protected
respondents from survey fatigue (DeVellis, 2016). As a result, items were chosen
deductively and two confirmatory factor analyses (CFAs) were run to validate the factor
structures. Both of these processes represent the two most popular procedures for
creating and utilizing new items (Morgado et al.,2017).
Political Values were measured using an adapted version of the Pew Research Center’s
Ideological Consistency Scale (ICS; available in the Appendix). A version of this scale has
been utilized since 1994 to measure liberal and conservative values. Given the purpose of the
study, items were removed from the original scale that were directly related to the
government’s use of power. Scores were cumulated and ranged from 0–9, where 0 was a more
liberal position and 9 a conservative position.
General sport and media consumption items were also included. For instance, participants
were asked to indicate the number of hours of general television viewership, sports
programming viewership, and live game viewership. Attending live events, attending
tailgates, playing daily fantasy sports (DFS), and going to restaurant or bar to watch a game
were also asked. Each of these behaviors are tied directly to sports fandom and the
comparison of actions between bettors and non-bettors should help regulators and media
providers establish patterns of behavior. Lastly, demographic questions were included in the
survey questionnaire.
Data analyses
Preliminary analyses were conducted to ensure the reliability and validity of the scaled
measures. Cronbach’s alpha scores were assessed to ensure internal consistency on all four
scaled instruments, and two CFAs were run on the newly-created Identity and Self-Worth
scales to ensure factor validity of the two dimensions. Several fit indices, including
χ
2
and
χ
2
/df were interpreted for goodness-of-fit; Root Mean Square Error of Approximation
(RMSEA), Comparative Fit Index (CFI) and the Tucker–Lewis Index (TLI) were utilized to
examine the component fit.
IJSMS
Following the preliminary analyses, three two-way MANOVAs were conducted to answer
the four research questions. The independent variables remained the same for each analysis:
(1) betting behavior and (2) legality of betting by jurisdiction. To answer RQ1, the main effects
results for betting behavior was under investigation The dependent variables were included
age, gender, income, relationship status and regional location (northeast, midwest, west and
south). Household income was measured in $25,000 increments from less than $25,000 to
$150,000 or more. Relationship status was binary, where (1) married or living as married was
contrasted with (2) single (never married), divorced/separated and widowed.
Additional MANOVAs were run to answer RQ2 and RQ3. The betting behavior main
effects results were explored for each MANOVA; however, the dependent variables were
different. The dependent variables for RQ2 included the Self-concept factors of Self-
Sufficiency, Superiority, Exploitativeness, Vanity, Entitlement, Authority, Exhibitionism,
Identity,Self-Worth and Political Values. The dependent variables for RQ3 included game
attendance, tailgate attendance, restaurant/bar patronage to watch live events, DFS
participation, hours of sports television viewership per week, percentage of sports viewership
as a function of all television viewership, hours per week of live event viewership, and the
percentage of live event viewership as a function of all sports viewership.
Research question four explored the interaction effect between betting behavior and
legality of betting by jurisdiction. Interactions related to each of the three MANOVAs were
examined to assess demographic, self-concept and sports fan behavior differences in betting
behavior by jurisdiction.
Results
Two CFAs were conducted on the combined samples for the identity and self-worth
measures, and the fit indices scores supported the two-factor structure for both constructs [2].
Similarly, the Cronbach’s alpha scores all met the minimum threshold of 0.70 for a
satisfactory measure (Cortina, 1993). The NPI results were standard for a generalizable
population. Five percent of the legal states group scored above the 30-point threshold for
narcissism and 3% of the illegal states group. Similarly, the ICS data were normally
distributed. Eleven percent scored zero as completely liberal, while 5% of the sample scored a
nine as completely conservative; 55% of the sample scored between three and six on the 0–9
point scale.
All three MANOVAs were statistically significant (see Tables 3–5for the omnibus
results). Statistically significant demographic differences (RQ1) between bettors and non-
bettors were found for the attributes of Age,Gender,Income and Geographic Location (see
Table 3). Those who bet were younger, more likely to be male, and had a higher household
income. Also, there were more non-bettors than bettors in the Midwest and the opposite in
the West.
For RQ2, statistically significant differences were uncovered for each of the self-concept
factors except for Personal Identity and Political Values (see Table 3). In each case, bettors
scored higher than non-bettors. Statistically significant differences were also found related to
sport fan behaviors (RQ3). Those who bet were more likely to attend a game, tailgate at a
game, go to a restaurant or bar to watch games, and play DFS. Those who did not bet
consumed a higher percentage of televised sports and live sporting events per week. No
statistical difference was found, however, in the hours of televised sports and live sporting
events viewership.
Figure 1 provides the results of the statistically significant interaction effects from the
three MANOVAs. Four factors, three self-concept and one sports fan behavior, showed
interaction effects between betting behavior and jurisdiction. Personal Worthiness,oran
individual’s sense of worth related to their relationships and career, resulted in a clear
Sports
gambling in
the United
States
Non-bettors Bettors
pMean SD Mean SD
Self-Sufficiency
1
2.43 1.29 2.80 1.23 <0.001
Superiority
1
1.88 1.56 2.79 1.51 <0.001
Exploitativeness
1
1.61 1.29 2.35 1.25 <0.001
Vanity
1
0.95 1.15 1.83 1.21 <0.001
Entitlement
1
1.60 1.18 2.19 1.11 <0.001
Authority
2
3.64 2.20 4.44 2.12 <0.001
Exhibitionism
1
1.48 1.65 2.75 1.82 <0.001
Personal Worthiness
2
4.98 0.94 5.12 0.89 0.033
Social Uselessness
3
2.75 1.33 3.27 1.71 <0.001
Personal Identity
3
5.04 0.97 5.14 0.90 0.154
Social Identity
3
3.85 1.10 4.57 1.00 <0.001
Political Values
4
3.79 2.55 4.04 2.15 0.139
Note(s):
1
Measured on four-point scale
2
Measured on a five-point scale
3
Measured on seven-point scale
4
Measured on nine-point scale (0 5Liberal position; 9 5Conservative position)
Non-bettors Bettors
pMean SD Mean SD
Age 50.91 15.56 41.23 11.93 <0.001
Gender
1
69% 5% 81% 4% <0.001
Income 3.06 1.48 3.59 1.53 <0.001
Relationship
2
53% 5% 54% 5% 0.658
Geographical Location
Northeast
3
34% 5% 34% 5% 0.420
Midwest
3
19% 4% 13% 3% 0.010
South
3
33% 5% 33% 5% 0.681
West
3
14% 3% 20% 4% 0.024
Note(s):
1
Percentage of males
2
Percentage of participants in a relationship
3
Percentage of participants who reside in the geographical region
Non-bettors Bettors
pMean SD Mean SD
Game Attendance
1
16% 11% 36% 11% <0.001
Tailgate Attendance
1
10% 9% 26% 9% <0.001
Restaurant/Bar Patronage
1
37% 14% 57% 13% <0.001
Daily Fantasy Sports
1
14% 10% 31% 14% <0.001
Hours/wk of sports viewership 6.88 5.44 8.18 6.78 0.040
% of viewership of sports 28% 9% 34% 11% <0.001
Hours/wk of live events viewership 5.42 4.53 4.86 4.78 0.110
% of viewership of live events 82% 6% 61% 9% <0.001
Note(s):
1
Percentage of individuals who participated in the activity
Table 4.
MANOVA results
of self-concept
factors (RQ2)
Table 3.
MANOVA results of
demographics (RQ1)
Table 5.
MANOVA results
of sport fan
behaviors (RQ3)
IJSMS
difference in legal states where non-bettors indicated a higher sense of personal worth.
However, in illegal states there was virtually no difference. Similarly, the gap in DFS
participation was large in legal jurisdictions, but in the illegal states, it was not significant.
Social Uselessness, or an individual’s perceived lack of worth related to social institutions,
resulted in relatively no difference between bettors and non-bettor in legal states. However, in
illegal states, the gap was statistically significant with bettors indicating a higher sense of
social uselessness. Lastly, Personal Identity, or the importance with which an individual
identifies with their relationships and career, resulted in a statistically significant difference
in both jurisdictions, yet the direction of gap changed. For instance, in legal states, bettors
scored higher on Personal Identity, but in illegal states, it was the opposite. Non-bettors scored
significantly higher.
Discussion
The landscape of sports gambling in the US has changed dramatically since 2018 (Matheson,
2021). As a result, more American sports fans have or will have access to sports betting in the
next few years. Differences between the average sports fan and sports bettors from a
consumer trait perspective have been hypothesized by commentators, yet the empirical
evidence remains nascent. Furthermore, the particular influence of hindrances to gambling –
such as legal status of the activity –are not sharply understood. The purpose of this study
was to explore differences between those who bet and those who do not, and to examine
differences in betting behavior in two different jurisdictions in the US: states where sports
betting is legal and illegal. By understanding differences between these groups and places,
there is hope legislators, gambling and media providers, and even sports teams and leagues
can better serve these populations.
Overall, the current results indicate statistically significant differences between those who
bet and those who do not. Bettors look different and come from different backgrounds and
4.90
5.00
5.10
5.20
5.30
Legal* Illegal
s
se
nihtr
o
W
l
an
o
sr
eP a
Personal Worthiness
Non-Bettor Bettor*
2.50
2.75
3.00
3.25
3.50
Legal Illegal*
Social Uselessnessa
Social Uselessness
Non-Bettor Bettor*
5%
15%
25%
35%
45%
Legal* Illega l
DFS Participation
Daily Fantasy Sports
Non-Bettor Bettor*
4.70
4.90
5.10
5.30
Legal* Illegal*
Personal Identitya
Personal Identity
Non-Bettor Bettor*
Note(s): aMeasured on a seven-point scale; *p < 0.05
Figure 1.
Statistically significant
interaction effects
between betting
decision and betting
jurisdiction
Sports
gambling in
the United
States
locations. Psychographically, they were clearly more narcissistic. They also indicated a
higher social identity and self-worth, yet perceived themselves as less worthy members of
important social institutions. In general, sports bettors out consumed non-bettors as it relates
sports spectatorship. In terms of differences between the groups across the two jurisdictions
(legal and illegal states) in the US, only a few factors were impacted. Self-worth and personal
identity were factors that were found to be different between groups and jurisdictions as well
as DFS participation. The following section discusses these results in greater detail and the
implications of these differences.
Interaction effects
While the differences between bettors and non-bettors provide important implications for
practitioners, it was the jurisdictional similarities and differences that provide the most
unique contribution. Keep in mind, the comparison group for the interaction models was the
legal, non-bettors. First, the major differences between the jurisdictions for bettors and non-
bettors were psychographic in nature. For instance, for those who bet in illegal states, their
Personal Identity and Personal Worthiness scores (importance and value of their relationships,
family and identity as a student/employee) was lower in illegal states while their Social
Uselessness score was higher (perceived worth as an American and as affiliated with sports,
religion and politics). This was significantly different from non-bettors. Their Personal
Identity score was higher in illegal states. For Social Uselessness and Personal Worthiness,
their scores remained constant between the jurisdictions, but were significantly different than
the bettors in the legal states for Personal Worthiness and in the illegal states for Social
Uselessness.
From a Personal Identity and Personal Worthiness perspective, previous work has
identified negative self-concept and self-worth as predictors of risky behavior such as illegal
gambling (Volberg et al., 1997;Walters, 1994). Wu et al. (2012) actually found gambling can
increase self-worth for men as they become more successful, yet it was Mageau et al.’s (2005)
findings about an individual’s perceived lack of competence or acceptance in their daily life
that may drive them to risky gambling behavior. These studies were not conducted in the
sports gambling context, yet they perhaps underscore the differences between legal and
illegal wagering in the US from a self-concept perspective. For the illegal gambling group,
however, the negative self-concept as it relates to social status is a unique contribution
especially considering the increase in personal identity. Perhaps the feeling of social
uselessness drives bettors to seek out gambling activities more even despite the
additional risk.
For practitioners, these results are important because it will be important to know who are
their primary consumers in newly legalized jurisdictions. If those who are currently betting
illegally in these jurisdictions tend to be less associated with their family/friends/coworkers,
and feel more useless as an individual, operators will need to think about how to manage the
negative repercussions of legalizing the activity in these consumers’jurisdiction. Apart from
marketing and branding, operators will need to extensively incorporate strategies that
mitigate problem gambling, and gambling-related depression and isolation.
The major behavioral difference came from DFS participation, which was significantly
higher for bettors in legal states than illegal states and non-bettors in legal states. It was
surprising that bettors in illegal states do not participate at the same level. Since it emerged in
North America in 2015, DFS has been viewed by many as an alternate for sports betting
(Dwyer et al., 2019;Shapiro et al., 2020). However, much has changed since 2015 and it is more
of a mainstream activity with no legal risk of participation. Based on our results, DFS should
not be regarded as a substitute or complimentary service to sports betting. This contradicts
the work of Dwyer et al. (2018) that found attitudinal similarities between sports betting and
IJSMS
DFS participation among DFS participants, most notably, problem gambling behavior. The
majority of states have legalized DFS participation at this point, but additional research
identifying potential similarities and differences in behavior and consumer trait makeup
could be beneficial for practitioners.
Second, there were no demographic differences uncovered between the groups in the two
state jurisdictions. This was somewhat unanticipated, as it was believed bettors in illegal
locations would be younger and have higher incomes as the activity is riskier and requires
more work/time to participate. Hing et al. (2016b) found that young males were most
vulnerable to risky gambling behavior in a national survey of Australian sports bettors.
Income, however, was not found to impact risky sports gambling behavior for that sample.
The results related to income and risky gambling behavior is mixed. Delfabbro (2012) found
those with higher income are likely to engage in risky sports gambling behavior, yet Hing
et al. (2017b) found the opposite. Nearly all of the previous research in this area has occurred
in countries outside of the US. Thus, this provides a unique contribution for US providers and
is an area for future exploration. Other noteworthy non-significant interaction effects
included all of the Narcissism factors, Political Values, and television viewership behaviors.
While the latter two groups are more understandable, the lack of statistically significant
results related to the dimensions of Narcissism was unexpected. More work in this area is
warranted.
Main effects
There were few interaction effects between the groups and jurisdictions, but there were
several statistically significant sport consumer trait differences between bettors and non-
bettors, generally. For each research question, it is not entirely surprising that sports bettors
and non-betting sports fans are heterogenous. Bettors were younger, more likely to be male,
and had a higher annual household income. This aligns with previous work within the sports
gambling literature (Hing et al., 2016b;Humphreys and Perez, 2012;Mahan et al., 2012).
Geography also mattered; of the sample, bettors were more common in the western states and
non-bettors in the midwestern states than their counterparts. This is likely tied to regional
proximity. The legalization of sports gambling has not made it to the middle of the country
and it appears sports fans in those states are not willing to gamble illegally. Meanwhile,
betting behavior was higher among those living in the Western US, which offers convenient
access to legal sports betting operations in Las Vegas, Nevada.
From a psychographic perspective, bettors scored significantly higher on each Narcissism
factor, and while some of the mean scores were lower (e.g. Vanity, Entitlement and
Exploitativeness), there was a difference between the groups. A relationship between
Narcissism and gambling has been established by previous researchers, as Pace et al. (2020)
found it positively predicted sport gambling behavior yet this study explored differences
between gamblers and non-gamblers and specifically examined the underlying dimensions of
the latent construct. The notion that sports bettors are more self-absorbed than non-gamblers
is understandable. Spectator sport is a context where everyone can feel like an expert, yet it
takes an elevated level of confidence to risk money on this perceived expertise. Research by
Cowley et al. (2015) suggests those with narcissistic tendencies are likely to believe they can
control games of chance, and when uncertainty is at the crux of an activity like sports
gambling, it is not surprising the current study’s sample of bettors indicated elevated
narcissism scores compared to non-bettors.
Sports bettors also indicated significantly higher levels of Personal Worthiness and Social
Identity, yet also significantly elevated scores of Social Uselessness. Personal Identity and
Political Values scores, however, were relatively similar among the groups. The contrast in
self-worth concepts (Personal and Social) is a unique finding. With higher narcissism scores,
Sports
gambling in
the United
States
it is not surprising sports bettors scored higher as it relates to their perceived worth among
family, friends and coworkers. However, one would think they would also have a higher
perceived value among social institutions. The opposite was true. Combine this unique
disparity with an elevated Social Identity score among sports bettors, and this leads one to
believe sports bettors perceive themselves to be more socially unappreciated or even isolated
than general sports fans. The Social Identity items asked participants to rate the importance
of belonging to following groups/institutions: Sports, Religion, Political and American. Social
Uselessness asked them to disagree/agree with feeling useless as a member of the same
groups/institutions. Thus, while it may be important for sports bettors to belong to these
groups compared to non-bettors, they obviously feel their value within the groups is not as
high. It is important to note the overall mean scores for each group were below 3.5 on a seven-
point scale, so generally, both groups feel adequately valued, but the significant difference
between the groups suggests something is going on socially for bettors.
For decades, betting behavior and social isolation has received attention from
researchers (Porter et al.,2004;Trevorrow and Moore, 1998). Along with financial loss and
dependency issues, retreating from society is a potential outcome of problem gambling
and one of the major arguments opposing betting legislation (Thomsen, 2019). In a study
of Australian adults, McQuade and Gill (2012) found a significant positive relationship
between loneliness and gambling. Thus, understanding these psychographic differences
related to social status and identities could help marketers and media providers offer
products to meet the disparities. For instance, there is an opportunity to pair or even
market the activity alongside important social institutions. Utilizing public relations to
communicate the growth of sports betting among Americans and potentially identify it as
a pastime for the country. These are ways to sell the legitimacy and importance of the
game within the eyes of participants. There is also the opportunity to design physical
sportsbooks as welcoming, accredited spaces where social consumption and community-
building is encouraged, as opposed to solitary betting behaviors.
Lastly, behavioral differences were mostly expected. Sports bettors consume spectator
sport at a significantly higher rate than non-bettors. Whether it was game attendance factors,
television viewership or interactive competitions like DFS, sports bettors engage more with
sports services. The results confirm previous attendance and viewership research where the
opportunity to gamble positively impacted attendance at Japanese soccer events (Funk et al.,
2006), slightly improved a university student’s likelihood to attend a game (Wann et al., 2015),
and positively impacted sport media consumption (Cason et al., 2020). Restaurant and bar
patronage also was higher among bettors. Sports bars and restaurants are locations where
sports fans congregate to watch their favorite team, and in the case of sports betting, watch
several games at one time on the many screens within the venue. In a study done in Australia,
nearly half of sports bar patrons had bet on sports within the last 12 months (Pennay et al.,
2020). Similar to other forms of betting like poker, sports betting appears to have a stronger
social component and the sports bar/restaurant is a preferred location to enjoy the action if
one is not able to attend the game.
The only non-significant results and findings where non-bettors out consume bettors was
related to live event television viewership. However, this is easily explained, as bettors still
watched more sports coverage, in general. Bettors watch a greater percentage of analysis of
shows than non-bettors to gain a potential advantage in their decisions. The behavioral findings,
in general, are impactful for marketers, media providers, and managers as the popularity of the
activity continues to grow. At the time of data collection, sports betting is still limited to a quarter
of the US. Like fantasy sports participants, where previous research has found a significant
uptick in sport consumption as a result of participation, sports bettors are highly engaged. This
engagement will pay dividends for sports organizations willing to innovate and provide
additional research content, spectator services and communication media.
IJSMS
Limitations and future research
Given the timely decisions that US states are currently having to make regarding legalizing
gambling or not, there is an opportunity for future research to use this study to aid in that
effort. Specifically, future research should consider developing a counterfactual model of
betting behavior from states’legal status. This would aid in isolating the causal effect of
passing favorable gambling policies and would help states produce more specific revenue
projections from implemented policies.
Also, the social uselessness results potentially have far reaching impact. If feelings of
uselessness impact one’s propensity to bet on sports, there are important implications for
mental health professionals and sport properties looking to encourage harmonious
consumption behaviors and discourage obsessive consumption behaviors.
Because heavier sport consumers reported more betting behavior (RQ3), the analysis may
have illuminated some endogenous sources of betting outcomes. While we investigate these
two questions independently in this paper, future research can benefit from fitting
simultaneous equations of models that incorporate individuals’sport fandom intensity.
Promising methods in this regard include Heckman’s (1979) two-step approach and the class
of hurdle models first introduced by Cragg (1971).
Notes
1. See the Appendix for complete list of items and scoring.
2. Identity:
χ
2
[df] 563.86 [28],
χ
2
/df 52.28, RMSEA 50.058, CFI 50.94, TLI 50.95;
Self-worth:
χ
2
[df] 551.21 [28],
χ
2
/df 51.82, RMSEA 50.061, CFI 50.91, TLI 50.93.
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Appendix
AB
I have a natural talent for influencing people I am not good at influencing people
Modesty does not become me I am essentially a modest person
I would do almost anything on a dare I tend to be a fairly cautious person
When people compliment me, I sometimes get
embarrassed
I know that I am good because everybody keeps
telling me so
The thought of ruling the world frightens the hell out of
me
If I ruled the world it would be a better place
I can usually talk my way out of anything I try to accept the consequences of my behavior
I prefer to blend in with the crowd I like to be the center of attention
I will be a success I am not too concerned about success
I am no better or worse than most people I think I am a special person
I am not sure if I would make a good leader I see myself as a good leader
I am assertive I wish I were more assertive
I like to have authority over other people I do not mind following orders
I find it easy to manipulate people I do not like it when I find myself manipulating
people
I insist upon getting the respect that is due me I usually get the respect that I deserve
I do not particularly like to show off my body I like to show off my body
I can read people like a book People are sometimes hard to understand
If I feel competent, I am willing to take responsibility for
making decisions
I like to take responsibility for making decisions
I just want to be reasonably happy I want to amount to something in the eyes of the
world
My body is nothing special I like to look at my body
I try not to be a show off I will usually show off if I get the chance
I always know what I am doing Sometimes I am not sure of what I am doing
I sometimes depend on people to get things done I rarely depend on anyone else to get things done
Sometimes I tell good stories Everybody likes to hear my stories
I expect a great deal from other people I like to do things for other people
I will never be satisfied until I get all that I deserve I take my satisfactions as they come
Compliments embarrass me I like to be complimented
I have a strong will to power Power for its own sake does not interest me
I do not care about new fads and fashions I like to start new fads and fashions
I like to look at myself in the mirror I am not particularly interested in looking at
myself in the mirror
I really like to be the center of attention It makes me uncomfortable to be the center of
attention
I can live my life in any way I want to People cannot always live their lives in terms of
what they want
Being an authority does not mean that much to me People always seem to recognize my authority
I would prefer to be a leader It makes little difference to me whether I am a
leader or not
I am going to be a great person I hope I am going to be successful
People sometimes believe what I tell them I can make anybody believe anything I want
them to
(continued )
Table A1.
Narcissistic
personality inventory
IJSMS
Corresponding author
Brendan Dwyer can be contacted at: bdwyer@vcu.edu
For instructions on how to order reprints of this article, please visit our website:
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Or contact us for further details: permissions@emeraldinsight.com
AB
I am a born leader Leadership is a quality that takes a long time to
develop
I wish somebody would someday write my biography I do not like people to pry into my life for any
reason
I get upset when people do not notice how I look when I
go out in public
I do not mind blending into the crowd when I go
out in public
I am more capable than other people There is a lot that I can learn from other people
I am much like everybody else I am an extraordinary person
Note(s): To score: For each of the following where you answered A give yourself one point: 1, 2, 3, 6, 8, 11, 12,
13, 14, 16, 21, 24, 25, 27, 29, 30, 31, 33, 34, 36, 37, 38, 39 For each of the following where you answered B give
yourself one point: 4, 5, 7, 9, 10, 15, 17, 18, 19, 20, 22, 23, 26, 28, 32, 35, 40
Source(s): Raskin and Hall (1979) Table A1.
Conservative position
Describes
me
Describes
me Liberal position
Blacks who cannot get ahead in this
country are mostly responsible for their
own condition
O O Racial discrimination is the main
reason why many black people cannot
get ahead these days
Homosexuality should be discouraged
by society
O O Homosexuality should be accepted by
society
Most corporations make a fair and
reasonable amount of profit
O O Business corporations make too much
profit
Stricter environmental laws and
regulations cost too many jobs and hurt
the economy
O O Stricter environmental laws and
regulations are worth the cost
Immigrants today are a burden on our
country because they take our jobs,
housing and health care
O O Immigrants today strengthen our
country because of their hard work
and talents
Poor people today have it easy because
they can get government benefits
without doing anything in return
O O Poor people have hard lives because
government benefits do not go far
enough to help them live decently
The economic system in this country is
generally fair to most Americans
O O The economic system in this country
unfairly favors powerful interests
Our country has made the changes
needed to give blacks equal rights with
whites
O O Our country needs to continue making
changes to give blacks equal rights
with whites
The obstacles that once made it harder
for women than men to get ahead are
now largely gone
O O There are still significant obstacles
that make it harder for women to get
ahead than men
Table A2.
Ideological consistency
scale (Pew Research
Center)
Sports
gambling in
the United
States