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THE WEALTHY: A FINANCIAL
PSYCHOLOGICAL PROFILE
Bradley T. Klontz
Kansas State University
Paul Sullivan
New York Times, New York,
New York
Martin C. Seay and Anthony Canale
Kansas State University
Drawing from the theories of money ambivalence, cognitive dissonance, envy, and
relative deprivation, this study sought to explore stereotypes of the wealthy. Specfically,
it examined the financial psychology, demographics, and financial behaviors of a sample
of wealthy individuals and a sample of other relatively high-income and high-net-worth
individuals, and it compared these characteristics to see what, if any, differences exist.
Results show that wealthy individuals exhibited significant psychological differences,
including lower levels of money avoidance, loss aversion, and financial stress; higher
levels of life and financial satisfaction, financial knowledge, internal locus of control;
and a fundamental drive to follow their passions and increase their wealth. With regard
to financial behaviors, the wealthy spent significantly more on their most recent pur-
chases but were not more likely to be financially dependent on nonwork income and
were not more reclusive. A deeper understanding of the wealthy can help mental-health
providers better serve this population and help individuals aspiring to increase their
income and net worth by challenging inaccurate beliefs about this population’s psychol-
ogy and financial behaviors.
Keywords: wealthy, mass affluent, financial psychology, money beliefs, money scripts
Since the 1970s, economic trends have served to create a growing wealth gap between the top
earners and average Americans (Stone, Trisi, Sherman, & Chen, 2013). In recent years, political
candidates and media alike have highlighted this gap, with the “One Percent” emerging as a popular
phrase to describe Americans whose income and/or net worth was in the 99th percentile. Much has
been written about this group of individuals in the popular press, often from a place of frustration
and anger. In the 2012, the gap between the 1% and the 99% became a rallying point in the
presidential election (Dewan & Gebeloff, 2012). Stereotypes of the reclusive, multigenerational
Bradley T. Klontz, College of Human Ecology, Institute of Personal Financial Planning, Kansas State Univer-
sity; Paul Sullivan, New York Times, New York, New York; Martin C. Seay and Anthony Canale, College of
Human Ecology, Institute of Personal Financial Planning, Kansas State University.
We thank United Capital, Platinum Advisor Strategies, Intrinsic Wealth Counsel, and Envision Wealth
Planning for their assistance with this research project.
Correspondence concerning this article should be addressed to Bradley T. Klontz, College of Human
Ecology, Institute of Personal Financial Planning, Kansas State University, 312 Justin Hall, Manhattan, KS
66506-1403. E-mail: btklontz@aol.com
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Consulting Psychology Journal: Practice and Research © 2015 American Psychological Association
2015, Vol. 67, No. 2, 127–143 1065-9293/15/$12.00 http://dx.doi.org/10.1037/cpb0000027
127
money-hoarding, spoiled, private-schooled, antitax, and nefarious wealthy seemed to have gained
popular support, with help in part from media attention received by the Occupy Wall Street
Movement (Dunn, 2012).
In recent years, resentment toward wealthier individuals has seemed palpable. Interestingly,
empirical evidence has lent support to the connection between wealth and a propensity toward
malfeasance. For example, researchers from the University of California-Berkeley observed that,
because of more access to material resources and a higher social rank, wealthy people have less
compassion for the suffering of others than do those in lower socioeconomic classes (Stellar, Manzo,
Kraus, & Keltner, 2012). Researchers have documented incidences in which individuals from
upper-class families are uncomfortable identifying themselves as such and try to distance them-
selves from those with a similar socioeconomic status (SES) because of negative stereotypes of
upper-class privilege (McDowell et al., 2013). However, it is uncertain the extent to which negative
stereotypes of the wealthy are the result of consistent patterns of negative behaviors on the part of
the wealthy or psychological factors of those who hold them in ill-regard.
What follows is a discussion about negative money beliefs and antiwealthy sentiments and an
exploration of three psychological constructs that can help explain the etiology and maintenance of
these beliefs. A review of the literature identifying psychological differences between higher income
individuals and lower income individuals is then presented. Lastly, the financial psychology,
demographics, and financial behaviors of a sample of wealthy individuals and a sample of other
relatively high-income and high-net-worth individuals are compared to see what, if any, differences
exist.
Rich People Are Greedy and Money Corrupts
While membership in a lower socioeconomic class is associated with a host of negative affective,
social, health, and economic experiences, the perceived association between wealth and maleficence
has a long tradition. According to the King James Version of the Bible, “The love of money is the
root of all evil” (1 Timothy 6:10) and “It is easier for a camel to go through the eye of a needle, than
for a rich man to enter into the kingdom of God” (Matthew 19:24). Recently, money beliefs,
including antirich and antimoney sentiments (e.g., “Rich people are greedy,” “Money corrupts
people,” “It is not okay to have more than you need,” “Good people should not care about money”),
have been the target of scholarly attention. Not surprisingly, these types of negative money beliefs
have been associated with lower income and lower net worth and a host of disordered money
behaviors (Klontz & Britt, 2012;Klontz, Britt, Mentzer, & Klontz, 2011).
Unfortunately, while social class is an important contextual variable for individuals and
families, it is a relatively neglected topic in the mental-health literature (McDowell et al., 2013).
Even so, several psychological constructs can aid in our understanding of the feelings of inferiority,
resentment, and envy felt toward wealthier individuals. These include money ambivalence and
cognitive dissonance, the psychology of envy, and the theory or relative deprivation.
Money Ambivalence and Cognitive Dissonance
Even those who hold strong antiwealthy beliefs would be hard-pressed to refuse a pay increase at
work, an inheritance, or a lottery win based on principle. Ambivalence has been defined as “the
experience of simultaneously positive and negative affect toward the same person, object, or
behavior that draws us in opposite directions and leads to some level of phenomenological
discomfort” (Weingardt, 2000, p. 298). There is some empirical support for the concept of money
ambivalence, the simultaneous positive and negative thoughts and feelings a person holds toward
money.
For example, endorsers of antirich and antimoney beliefs are also more likely to endorse
money-worship scripts, believing that “More money would make you happier,” and “You can never
have enough money” (Klontz & Britt, 2012). The simultaneous love and hate of money may help
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128 KLONTZ, SULLIVAN, SEAY, AND CANALE
explain why wealthier individuals are targets for the frustration and anger experienced by members
of lower socioeconomic classes who aspire to raise their socioeconomic standing. At first blush,
simultaneously despising the wealthy and worshiping money may seem incompatible. However, it
is worthwhile to keep in mind the tremendous social, health, and material benefits of membership
in a higher socioeconomic class. One’s perceived SES may be even more important than actual
financial status (Adler & Snibbe, 2003).
Psychological discomfort is a natural consequence of the love– hate, push–pull, and approach–avoidance
experience of money ambivalence. Cognitive-dissonance theory postulates that an individual’s awareness
of conflicting beliefs creates psychological discomfort, which motivates the individual to alleviate the
discomfort (Elliot & Devine, 1994;Festinger, 1962). As such, when an individual has arrived at a
belief about money, cognitive-dissonance theory suggests that conflicting information may not be
given its due consideration. It has been hypothesized that when a particular money belief was
developed in a dramatic way and is associated with strong emotion, it can be highly resistant to
change (Klontz & Klontz, 2009). Cognitive dissonance has been identified as an important psycho-
logical construct in making sense of self-destructive financial behaviors, including the tendency of
investors to irrationally hold onto losing investments (Goetzmann & Peles, 1997). In addition to the
psychological discomfort associated with an approach–avoidance relationship with money and
efforts to alleviate negative feelings through cognitive distortions, watching others enjoy the
advantages of wealth while feeling left out can lead to feelings of envy.
The Psychology of Envy
Envy has been defined as “an unpleasant, often painful emotion characterized by feelings of
inferiority, hostility, and resentment produced by an awareness of another person or group of
person’s who enjoy a desired possession, position, attribute, or quality of being” (Smith & Kim,
2007, p. 47). Smith and Kim (2007) note that when we experience envy, we often feel that the target
of our envy does not deserve their advantage, that our disadvantage is undeserved, and as a result,
we feel a sense of injustice. They note that people feel envy around advantages enjoyed by others
with regard to relative social standing, which is associated with access to success. They also point
out that “we envy similar others who otherwise enjoy an advantage in an area linked to our
self-worth” (p. 50).
As such, we are most vulnerable to envying individuals who share one or more of our attributes,
such as gender and race, and this comparison toward those of like characteristics is well documented
through social-comparison theory (Festinger, 1954). Furthermore, we may hold particularly negative
views toward people who started out at a similar social class as we did but raised their relative
socioeconomic standing higher than we have. As a result of this envy, wealthy individuals may feel
a sense of paranoia and be more secretive about their income and financial status. Secretiveness
around income has been associated with higher income and net worth and fewer self-destructive
financial behaviors (Klontz & Britt, 2012). While wealthier individuals are privileged in society,
they may also be targeted for victimization because of their success. Research has found that envy
is a significant predictor in the victimization of high performers (Kim & Glomb, 2014).
The Theory of Relative Deprivation
The theory of relative deprivation postulates that an individual’s level of satisfaction is not based on
their objective realties but on their life circumstances relative to the experiences of those around
them. Relative deprivation has been shown to be a strong predictor of prejudice toward another
group, as unfavorable comparisons lead to feelings of deprivation, which motivate hostility toward
another group at increasing levels with higher levels of relative deprivation (Dambrun, Taylor,
McDonald, Crush, & Meot, 2006). Furthermore, higher levels of affluence in one’s reference group
can be associated with higher levels of relative deprivation, anger, and violence (Bernburg,
Thorlindsson, & Sigfusdottir, 2009). The theory of relative deprivation supports the notion that an
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129WEALTHY: A FINANCIAL PSYCHOLOGICAL PROFILE
increase in the wealth gap in the United States would correspond with increasing levels of anger
toward the wealthy.
Research has found that subjective well-being depends more on one’s sense of relative
deprivation than on one’s level of income (D’Ambrosio & Frick, 2007). Relative deprivation has
been linked to a preference for immediate smaller rewards at the expense of larger delayed rewards
(Callan, Shead, & Olson, 2011). When controlling for financial status, perceived SES has been
associated with better physical and mental health (Adler & Snibbe, 2003). When individuals have
low social standing and are simultaneously highly biased against their lower social class, they are
at increased risk for health problems and disease (John-Henderson, Jacobs, Mendoza-Denton, &
Francis, 2013).
Money ambivalence and cognitive dissonance, the psychology of envy, and the theory of
relative deprivation help explain some of the negative stereotypes associated with money and the
wealthy. This study examined the financial psychology, demographics, and behaviors of a sample
of wealthy individuals, comparing them to other relatively high income and/or high net worth
individuals, to see what, if any differences exist. Furthermore, it explored some of the common
stereotypes associated with the wealthy to see which, if any, hold true, and which ones may be
misperceptions of this group of individuals. Insights gleaned from this study might be of benefit to
mental-health providers and financial professionals who are working with wealthier individuals. In
addition, mental-health providers and financial professionals working with individuals who seek
higher incomes and higher net worth might benefit from insight into how wealthy individuals think
or behave differently.
The Psychology of Wealth
Research has noted some differences between higher income individuals and lower income indi-
viduals on a number of psychological variables. There is strong evidence of personality traits being
associated with socioeconomic outcomes, job performance, physical health, and academic achieve-
ment (Borghans, Duckworth, Heckman, & Ter Weel, 2008;Chamorro-Premuzic & Furnham, 2003).
Personality traits have also been found to predict mortality, divorce, and success at work (Roberts,
Kuncel, Shiner, Caspi, & Goldberg, 2007).
Several personality traits have been tied to higher incomes and better economic outcomes.
Conscientiousness, which entails the tendency to be dependable, motivated, and to act with
self-discipline, is associated with higher income (Mueller & Plug, 2006;Heckman, Stixrud, &
Urzua, 2006), entrepreneurial intention and success (Zhao, Seibert, & Lumpkin, 2010), good job
performance (Almlund, Duckworth, Heckman, & Kautz, 2011), and academic success (Chamorro-
Premuzic & Furnham, 2003). Emotional stability is also associated with higher income (Mueller &
Plug, 2006) and better job performance (Almlund, Duckworth, Heckman, & Kautz, 2011;Gelissen
& de Graaf, 2006). Openness to experiences has also been found to be associated with higher levels
of income (Mueller & Plug, 2006).
Locus of control is another important psychological construct linked to income. Locus of control
is defined as the extent to which someone sees his or her life being controlled by themselves or being
at the mercy of external factors outside of their control. Specifically, internal locus of control has
been found to be associated with higher income and wealth (Zagorsky, 2007), higher rates of
reemployment after a job loss (Gallo, Endrass, Bradley, Hell, & Kasl, 2003), and better spending
control (Perry & Morris, 2005). Having a strong sense of control over one’s life is also linked to
greater life satisfaction (Johnson & Krueger, 2006). Good self-esteem is also associated with higher
levels of wealth and income (Zagorsky, 2007).
Research has also linked specific money scripts to income and net worth. Money scripts are
beliefs about money that are typically held outside of conscious awareness until they are explored,
are often trans-generational, are developed in childhood, and influence financial behaviors (Klontz
& Klontz, 2009). For example, Klontz and Britt (2012) found that money-vigilance beliefs, which
include themes of frugality and anxiety about money, are associated with higher income and appear
to be protective factors against destructive financial behaviors. In a sample of 351 full-time workers,
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130 KLONTZ, SULLIVAN, SEAY, AND CANALE
Klontz, Seay, Sullivan, and Canale (2014) found that money-status scripts, which include themes
that link one’s self-worth to their net worth, were a significant predictor of inclusion in a group of
higher earners ($154,000 or greater) versus lower earners (median income of $80,000).
Socioeconomic status in childhood, financial stress, financial knowledge, and education are also
strong predictors of income. Lower SES has been associated with higher levels of risk-taking and
impulsiveness (Griskevicius et al., 2013), and childhood SES is an important predictor of financial
and occupational success and educational attainment (Roberts et al., 2007).
Financial education, which can be acquired formally through high school and college classes,
personal-finance seminars, or informally through the mentoring of family members, friends, or
employers, can also have significant impact on financial outcomes (Perry & Morris, 2005). Not
surprisingly, higher levels of financial knowledge, including knowledge around issues related to
credit, savings, investments, and mortgages, are associated with engagement in prudent financial
behaviors such as paying bills on time and having emergency savings (Hilgert, Hogarth, & Beverly,
2003). Financial knowledge can also increase alongside increases in wealth and economic social-
ization (Hilgert et al., 2003).
Financial stress is associated with the inability to meet one’s economic responsibilities (North-
ern, O’Brien, & Goetz, 2010). It is influenced by attitudes, beliefs, and thoughts associated with
one’s demands and the economic resources available to meet those demands (Aldana & Liljenquist,
1998;Kim, Garman, & Sorhaindo, 2003). Individuals often link their self-worth with their financial
status, and, as a result, financial stress has been associated with negative life consequences affecting
health, self-care, psychological well-being, academic functioning, and interpersonal relationships
(Northern, O’Brien, & Goetz, 2010).
While a variety of personality and demographic factors have been found to be associated with
income, net worth, financial satisfaction, and life satisfaction, little is known about how personality,
money beliefs, and financial behaviors differ between the wealthy and other higher income and/or
higher net worth individuals.
Research Questions and Hypotheses
The aims of this study were to provide a description of wealthy individuals in the current sample
across a range of demographics, attitudes, and behaviors and to see what, if any psychological and
behavioral characteristics differentiate the wealthy from the mass affluent. For the purposes of this
study, wealthy individuals were defined as respondents who had $370,000 or more in yearly income
and/or $2.5 million or more in net worth. The term mass affluent was used to describe the
comparison group, a term that has been used to describe those with higher income and net worth
than the “mass market” but less than those who would be classified as wealthy (e.g., Rumbaugh,
2014).
Based on previous literature and recent popular-culture interests, three research questions were
investigated:
1. What are the demographic characteristics of wealthy individuals and mass-affluent indi-
viduals?
2. Are there differences in the psychological characteristics of wealthy individuals as com-
pared with the mass affluent?
3. Are there differences in the financial behaviors of wealthy individuals as compared with the
mass affluent?
Corresponding hypotheses were developed to be investigated related to research Questions 2
and 3:
Hypothesis 1: There are significant differences in the psychological characteristics of wealthy
individuals as compared with the mass affluent.
Hypothesis 2: There are significant differences in the financial behaviors of wealthy indi-
viduals as compared with the mass affluent.
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131WEALTHY: A FINANCIAL PSYCHOLOGICAL PROFILE
Method
Participants
Because of the difficulty of obtaining data from this exclusive group, various standards have been
applied by researchers to delineate the wealthy. According to the Internal Revenue Service (2012),
in 2010 the top 1% of earners in the United States had income of $370,000 or higher, whereas the
top 10% of earners had incomes from $117,000 to $370,000. Net worth is also an important
benchmark for determining inclusion in the top tiers of wealth. It can be argued that net worth is
even more important than income in classifying degrees of wealth (Gebeloff & Dewan, 2012). While
comprehensive data on the net worth in U.S. households is more difficult to access, the median net
worth for the top 10% of Americans in 2010 was approximately $1.2 million (Bricker, Kennickell,
Moore, & Sabelhaus, 2012).
For the purposes of this study, wealthy individuals were defined as respondents who indicated
they had $370,000 or more in yearly income and/or $2.5 million or more in net worth. As such,
individuals in this sample classified as wealthy were in the top 1% to 5% of Americans in terms of
income and/or net worth. The sample used to explore this question consisted primarily of individuals
recruited through financial-planning firms. Through the use of several listserves of financial
planners, firms were invited to participate in a study on financial psychology by passing the survey
link along to their clients via email. In total, 1,096 respondents participated in the survey in 2012.
As a result of this sampling method, the respondents tended to have significantly higher self-reported
income (mean of $145,206; median of $85,000) and net worth (mean of $3,744,047; median of
$850,000) than the average U.S. population.
An overview of descriptive sample characteristics can be found in Table 1. Approximately 31%
of the sample (n⫽178) were members of the wealthy group as defined by $2.5 million or more in
net worth and/or had $370,000 or more in yearly income. The wealthy in the sample had an average
approximate net worth of $10.7 million (median ⫽$2.2 million) and an average income of $271,000
(median ⫽$150,000). The comparison group in the study (n⫽837) had an average net worth of
$582,000 (median ⫽$500,000) and an average income of $88,000 (median ⫽$70,000). Given that
the income and net worth of the comparison group is much higher than that of the average American,
we used the term mass affluent to describe them.
The total sample was slightly skewed toward males (63%) and individuals over the age of 55
(68%), which may be expected given that respondents were identified through financial planners.
The vast majority of the sample was White (94%), had at least a college education (77%), and
reported being married (73%). The majority of the sample attended a public high school, including
75% of the wealthy and 81% of the mass affluent. Fifty-seven percent of the wealthy reported
working full time (53% for the mass affluent), while ⬃32% reported being retired (38% of the mass
affluent were retired). Lastly, 58% of the wealthy in the sample reported that their family has been
at its current socioeconomic level for just one generation, with 48% of the mass affluent reporting
the same. Just 15% of the wealthy in the sample reported that their family has been at its current SES
for three or more generations, while this was true for 21% of the mass affluent.
Measures
The variables of interest in this study included a range of measures developed around demographic
characteristics, psychological variables, and financial behaviors.
Demographic characteristics. Sociodemographic characteristics of interest included gender,
age, race/ethnicity, marital status, education, work status, attendance in public or private high
school, occupation, and length at which one’s family has been at its current socioeconomic level:
one generation (me), two generations (my parents and me), three generations (grandparents, parents,
and me), four generations (great-grandparents, grandparents, parents, and me), or five or more
generations. Self-reported subjective SES in childhood was measured through the use of the
MacArthur Scale of Subjective SES (Adler, Epel, Castellazzo, & Ickovics, 2000). On this single-
item, 10-point scale, participants were asked to place themselves on a ladder representing the SES
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132 KLONTZ, SULLIVAN, SEAY, AND CANALE
of people in the United States based on money, education, and jobs, where 1 ⫽the people who are
the worst off and 10 ⫽the people who are the best off. To measure subjective SES during childhood,
the first sentence of the question was changed to, “Where on this ladder would you place your family
during your growing up years?”
Psychological variables.
Money scripts. The Klontz Money Script Inventory-Revised (KMSI-R) was used to assess
money beliefs (Klontz, Seay, Sullivan, & Canale, 2014). In prior research, the four KMSI subscales
have been shown to correlate with income, net worth, and revolving credit and are associated with
a range of disordered money behaviors (Klontz & Britt, 2012;Klontz et al., 2011). The subscales
include Money Avoidance, Money Status, Money Worship, and Money Vigilance.
Money avoidance beliefs include statements such as “money corrupts people,” “rich people are
greedy,” “people get rich by taking advantage of others,” and “good people should not care about
money.” Money avoidance has been found to be negatively associated with income (r⫽⫺.23) and
net worth (r⫽⫺.22; Klontz et al. 2011) and positively associated with compulsive buying,
workaholism, financial dependence, financial enabling, and financial denial (Klontz & Britt, 2012).
Money worship includes beliefs such as “more money will make you happier,” “things would get
better if I had more money,” and “money would solve all my problems.” Money worship is
Table 1
Sample Bivariate Characteristics
Characteristic
Total
sample n
Total
sample % Wealthy nWealthy %
Mass
affluent n
Mass
affluent %
Gender
Male 637 63.07 126 70.79 511 61.42
Female 373 36.93 52 29.21 321 38.58
Age
Less than 44 157 15.54 20 11.24 137 16.47
Age 45–54 167 16.53 36 20.22 131 15.75
Age 55–64 306 30.30 60 33.71 246 29.57
Age 65 plus 380 37.62 62 34.83 318 38.22
Race
White 946 93.66 170 95.51 776 93.27
Non-White 64 6.34 8 4.49 56 6.73
Education attainment
Less than college graduate 277 27.43 30 16.85 247 29.69
College graduate 394 39.01 70 39.33 324 38.94
Postgraduate degree 339 33.56 78 43.82 261 31.37
Type of high school
Public 819 81.09 133 74.72 686 17.55
Private 191 18.91 45 25.28 146 82.45
Marital status
Married 737 72.97 145 81.46 592 71.24
Previously married 169 16.73 21 11.80 148 17.81
Single 103 10.20 12 6.74 91 10.95
Work status
Full-time 531 52.57 100 56.49 431 52.24
Retired 379 37.52 56 31.64 323 39.15
Other work 92 9.11 21 11.86 71 8.61
Generational money status
First generation 486 48.12 102 57.63 384 46.77
Second generation 298 29.50 49 27.68 249 30.33
Third generation or more 214 21.19 26 14.69 188 22.90
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133WEALTHY: A FINANCIAL PSYCHOLOGICAL PROFILE
negatively correlated with income (r⫽⫺.13), net worth (r⫽⫺.24), and paying off one’s credit
cards monthly so as not to accrue interest (r⫽⫺.16; Klontz et al., 2011) and positively associated
with compulsive buying, hoarding, workaholism, financial dependence, financial enabling, and
financial denial. Money status beliefs include statements such as “I will not buy something unless
it is new” and “your self-worth equals your net worth.” Money-status beliefs are negatively
associated with income (r⫽⫺.13), positively correlated with growing up in a lower socioeconomic
household (r⫽.10), and predictive of compulsive buying, gambling disorder, hoarding, workaho-
lism, financial dependence, financial enabling, financial denial, financial enmeshment, and lying to
one’s spouse about spending.
In contrast, the fourth subscale, money vigilance entails beliefs around the importance of
frugality and saving and has been found to be a financial-health-protective factor. Money-vigilance
beliefs include statements such as “it is important to save for a rainy day,” “you should not tell
others how much money you have or make,” and “money should be saved not spent.” Money
vigilance has been found to be positively correlated with paying off one’s credit cards each month
(r⫽.10) and lower levels of compulsive buying, pathological gambling, financial-enabling
behaviors, financial denial, and lying to one’s spouse or partner around spending. The KMSI-R
retains 32 of the original 51 KMSI items. Internal consistency coefficients (Cronbach’s alpha ⫽␣)
for the KMSI-R have ranged as follows: money avoidance ⫽.81–.84, money worship ⫽.69 –.75,
money status ⫽.74 –.75, and money vigilance ⫽.63–.66 (Britt, Klontz, Tibbetts, & Leitz, 2014;
Klontz, Seay, Sullivan, & Canale, 2014). Internal consistency for the KMSI-R in the current study
were as follows: money avoidance ␣⫽.82, money worship ␣⫽.68, money status ␣⫽.73, and
money vigilance ␣⫽.58.
Locus of control. Locus of control was measured using a 7-item External Locus of Control
Scale based on Rotter’s (1975,1966) Locus of Control Scale. This scale was included in the 1999
Freddie Mac Consumer Credit Survey of consumer characteristics (Grable, Archuleta, & Roy, 2011)
and has been used in other research on financial behaviors, with Cronbach’s ␣of .76 (Grable, Park,
& Joo, 2009) and .87 (Perry & Morris, 2005) reported. Respondents indicated their level of
agreement using a 5-point Likert-type scale. Items included statements such as, “There really is no
way I can solve some of my problems” and “I have little control over the things that happen to me.”
Two items are reversed scored, with scores ranging from 7–35. Higher scores indicate a tendency
toward an external locus of control. A Cronbach’s ␣for the current study of .79 was observed.
Financial satisfaction, financial stress, and financial knowledge. Measures of financial sat-
isfaction, financial stress, and subjective financial knowledge were collected to investigate individ-
ual’s perception of their current financial situation. Financial satisfaction, financial stress, and
financial knowledge were all measured on one-item 10-point-stair-step questions used by Joo and
Grable (2004). Specifically, financial stress was assessed by asking respondents “How stressed do
you feel about your personal finances?” on a scale of 1 to 10, where 1 ⫽not at all,5⫽average,
and 10 ⫽extremely. With regard to financial knowledge, respondents were asked “How would you
rate your financial knowledge level compared to your friends?” on a scale of 1 to 10, where 1 ⫽
lowest level and 10 ⫽highest level. Financial satisfaction, which generally signifies contentment
with one’s objective and subjective financial situation (Joo & Grable, 2004), was measured by
asking respondents “How satisfied are you with your overall financial situation?” on a scale of 1 to
10, where 1 ⫽very dissatisfied and 10 ⫽very satisfied.
Risk tolerance. Risk tolerance was assessed by one item from the Grable and Lytton (1999,
2003) risk-tolerance assessment. The item asked respondents “In general, how would your best
friend describe you as a risk taker?” where 1 ⫽a real risk avoider,2⫽cautious,3⫽willing to
take risks after completing adequate research, and 4 ⫽a real gambler. While one-item measures
do not offer a comprehensive view of risk tolerance, for the purposes of limiting the length of
surveys to encourage more respondents, it is common to use just one risk-tolerance question in
consumer-finance research (Grable, 2008).
Life satisfaction. The Satisfaction With Life Scale (Diener, Emmons, Larsen, & Griffin, 1985)
was used to measure life satisfaction. Respondents were asked to indicate how strongly they agreed
or disagreed with five statements on a scale of 1 to 7, where 1 ⫽strongly disagree and 7 ⫽strongly
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134 KLONTZ, SULLIVAN, SEAY, AND CANALE
agree. Scores range from 5 to 35 with higher scores indicating greater life satisfaction. The
Satisfaction With Life Scale has been shown to have strong internal consistency, with Cronbach’s
␣ranging from .79 to .89 (Pavot & Diener, 1993). Cronbach’s ␣for the Satisfaction With Life Scale
in the current study was observed to be .89.
Cognitive biases/investing problems. Three common cognitive biases associated with invest-
ment management were measured: (a) overconfidence (“I am an above average investor”), (b) loss
aversion (“When an investment loses money I usually hold onto it so I don’t have to realize the
loss”), and (c) investment mistakes (“I have made one or more major investment mistakes”).
Respondents were asked to indicate the extent to which they agreed or disagreed with these
statements using a 6-point Likert-type scale, where 1 ⫽strongly disagree,2⫽disagree,3⫽
disagree a little,4⫽agree a little,5⫽agree, and 6 ⫽strongly agree.
Tax aversion. One question related to taxes was created for this study and used in the analysis
to assess respondents’ aversion to paying taxes: “I am against the whole idea of paying taxes.”
Respondents were asked to indicate the extent to which they agreed or disagreed with the statement
using a 6-point Likert-type scale, where 1 ⫽strongly disagree,2⫽disagree,3⫽disagree a little,
4⫽agree a little,5⫽agree, and 6 ⫽strongly agree.
Wealth motivation. To investigate the wealth motivations of respondents, two questions were
developed for this study and included to measure the extent to which they agree or disagree with the
following statements: (a) Much of my financial success has come about because of a commitment
to follow my passions and (b) Much of my financial success has come about because of a
fundamental drive to increase my wealth. Responses were collected on a scale of 1 to 6, where 1⫽
strongly disagree,2⫽disagree,3⫽disagree a little,4⫽agree a little,5⫽agree, and 6⫽
strongly agree.
Financial and social behaviors.
Financial behaviors. Three scales of the Klontz Money Behavior Inventory (Klontz & Britt,
2012;Klontz, Britt, Archuleta, & Klontz, 2012) were used to assess money behaviors of interest in
higher net worth populations. Specifically, the subscales of Financial Dependence, Financial
Enabling, and Workaholism. These scales have been shown to have good internal consistency, with
Cronbach’s ␣as follows: Financial Dependence ⫽.79, Financial Enabling ⫽.87, and Workahol-
ism ⫽.87 (Klontz, Britt, Archuleta, & Klontz, 2012). Internal consistency for these scales in the
current study were as follows: Financial Dependence (␣⫽.64), Financial Enabling (␣⫽.77), and
Workaholism (␣⫽.82). Financial dependence includes a fear of being cut-off from nonwork
income, resentment about money received, and a stifling of passion, creativity, motivation, or drive
to succeed. Financial enablers have trouble refusing financial requests from friends and family
members and feel taken advantage of financially. Although workaholics tend to have higher income,
they feel an irresistible urge to work and have trouble enjoying time away from work.
Dollar cost of expenditures. On an actual dollar basis, respondents were asked, How much did
you pay for your most recent (a) home (primary residence), (b) car, (c) vacation, and (d) watch?
Household and family-service providers. Respondents were asked to indicate whether or not
(yes or no) they used the services of various professionals for their household within the past 12
months: Have you worked with any of the following household/family service providers in the past
12 months? These included (a) an accountant, (b) an attorney, (c) a financial advisor, (d) personal
chef, (e) live-in nanny, (f) physical/athletic trainer, (g) business or life coach, (h) landscaper/
gardener, (i) driver (personal or corporate), and (j) private tutor.
Interaction with neighbors. To examine the stereotype of the reclusive wealthy, respondents
were asked to respond to the question, “How often do you interact with your neighbors?”ona
5-point scale, where 1 ⫽never,2⫽rarely,3⫽sometimes,4⫽often, and 5 ⫽frequently.
Statistical Analysis
We used a conservative approach to data analysis beginning with multivariate tests of main effects.
If significant effects were found, we progressed to a series of independent samples ttests. With
regard to categorical questions, a series of
2
tests were conducted. We adopted a .05 level of
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135WEALTHY: A FINANCIAL PSYCHOLOGICAL PROFILE
significance for all tests. Cohen’s deffect sizes were calculated for the independent ttests variables,
using the pooled SD (Cohen, 1988).
Results
The Psychology of Wealth
A multivariate analysis of variance (MANOVA) was conducted to compare the wealthy and the
mass affluent on 17 psychological variables. A significant main effect for the model was found:
Wilk’s ⫽.923, F(17, 619) ⫽3.02, p⬍.0001. This test provides evidence in support of research
Hypothesis 1 (There are significant differences in the psychological characteristics of wealthy
individuals as compared with the mass affluent) and Hypothesis 2 (There are significant differences
in the financial behaviors of wealthy individuals as compared with the mass affluent). With this
initial support, a series of ttests was then run to explore the differences in the psychological
characteristics of wealthy individuals and individuals classified as mass affluent. The effect sizes (d)
for the psychological variables were in the small to medium range. The ttests and Cohen’s dresults
can be found in Table 2. When compared with the mass affluent, the wealthy reported statistically
significant differences in several areas.
Money scripts. The wealthy are less likely to endorse money avoidance beliefs. As such, they
are less likely to believe that money is a corrupting influence, that rich people are greedy or get rich
by taking advantage of others, that there is virtue in living with less money, or that they do not
deserve money. As a result, the wealthy are less likely to sabotage their financial success, less likely
to overspend or gamble compulsively, less likely to financially enable others, less likely to hoard
possessions, and less likely to have trouble sticking to a budget. A significant difference was also
observed on the Money Status subscale, with the wealthy scoring significantly higher. As such, they
were more likely to believe that self-worth and net worth are intertwined, that success is defined by
how much money one earns, that money follows good works, and money helps give life meaning.
Table 2
Psychological Variables: Means Using t Tests for Equality of Means
Variable n
Mass affluent Wealthy
ttest Cohen’s dMean SD Mean SD
Childhood SES 1,000 5.86 1.83 5.69 1.88 1.16 0.09
$ Avoidance 826 22.44 6.21 21.19 5.29 2.27*** 0.22
$ Worship 832 20.97 5.47 21.63 5.28 ⫺1.32 0.12
$ Status 815 12.61 3.81 13.25 3.86 ⫺1.79* 0.17
$ Vigilance 823 32.26 4.43 33.92 4.87 ⫺1.54 0.36
LOC 821 12.90 4.15 12.09 3.74 2.18** 0.21
$ Satisfaction 999 6.51 2.32 7.29 2.33 4.07*** 0.34
$ Stress 999 4.40 2.13 3.83 2.18 3.23*** 0.26
$ Knowledge 1,001 6.98 1.85 7.86 1.75 ⫺5.77** 0.49
Risk tolerance 1,010 2.50 .63 2.42 .58 1.57 0.13
Life satisfaction 899 27.65 6.26 29.30 5.62 3.10*** 0.28
Loss aversion 828 3.44 1.23 3.11 1.10 3.06*** 0.28
Invest mistakes 839 4.23 1.34 4.55 1.23 2.73*** 0.25
Overconfidence 835 3.26 1.32 4.01 1.12 7.22*** 0.61
Against taxes 837 2.18 1.04 2.23 1.01 ⫺0.55 0.05
Passion success 822 3.46 1.41 3.75 1.45 ⫺2.23** 0.29
Wealth success 830 3.59 1.38 3.92 1.48 2.60*** 0.23
Note. LOC ⫽locus of control; SES ⫽socioeconomic status.
*p⬍.10. ** p⬍.05. *** p⬍.01.
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136 KLONTZ, SULLIVAN, SEAY, AND CANALE
An interesting find was that prior research has linked money-status scripts to lower SES in
childhood, lower income (Klontz et al., 2011), and greater risk for a host of money disorders,
including pathological gambling, compulsive hoarding, financial enabling, and workaholism (Klontz
& Britt, 2012). The wealthy also reported significantly higher levels of money vigilance scripts. As
such, they scored higher on the belief that money should be saved and not spent, are more likely to
be anxious about not having enough money, and believe it is impolite to talk about money.
Locus of control. The wealthy report significantly higher levels of internal locus of control. As
such, they are less likely to feel helpless in dealing with life’s challenges, take more responsibility
for the outcomes in their lives, have stronger beliefs in their abilities to solve problems and achieve
goals, and believe they have more control over the things that happen to them.
Financial knowledge, financial satisfaction, and financial stress. When compared with the
mass affluent, the wealthy reported significantly higher levels of financial knowledge and financial
satisfaction and significantly less financial stress.
Risk tolerance. There were no significant differences between the self-reported risk tolerance
of the wealthy and the mass affluent in the sample. On average, both groups indicated that in terms
of risk-taking, their friends would describe them as cautious.
Life satisfaction. The wealthy reported significantly higher levels of life satisfaction. This
includes believing that the conditions of one’s life are excellent, and that one’s life is close to ideal
in most ways; they have less regret and believe that they have gotten the important things they want
in life.
Cognitive biases/investing problems. Rather than being immune to common investor mis-
takes, the wealthy endorsed a cognitive bias that has been associated with investing mistakes.
Specifically, they reported significantly higher levels of confidence in their investing acumen.
Furthermore, they were significantly more likely to report making one or more major investing
mistakes. However, when compared with the mass affluent, the wealthy reportedly being signifi-
cantly less likely to report holding onto losing positions to avoid experiencing a loss.
Tax aversion. There were no significant differences with regard to aversion to paying taxes
between the wealthy and the mass-affluent individuals in the study. On average, both groups
indicated that they disagree with the statement, “I am against the whole idea of paying taxes.”
Wealth motivation. The wealthy individuals were significantly more likely than the mass
affluent to report attributing their financial success to both a fundamental drive to increase their
wealth and a commitment to follow their passions.
Financial and Social Behaviors
Financial habits of the wealthy were also explored in this study to see what differences, if any, exist
between wealthy individuals and mass-affluent individuals. A MANOVA was conducted to compare
the wealthy and the mass affluent on eight financial and social-behavior variables. This test provides
evidence in support of research Hypothesis 2 (There are significant differences in the financial
behaviors of wealthy individuals as compared with the mass affluent). A significant main effect for
the model was found: Wilk’s ⫽.820, F(8, 647) ⫽17.70, p⬍.0001. A series of ttests was then
run to explore differences in the financial behaviors of wealthy individuals and individuals classified
as mass affluent. The ttests and Cohen’s dresults can be found in Table 3. Chi-square test results
for the categorical variables can be found in Table 4. Medium to large effects were observed in the
spending habits of the wealthy as compared with the mass affluent. When compared with the mass
affluent, the wealthy reported statistically significant differences in several areas.
Money disorders. Despite the trust-fund-baby stereotype, the wealthy in this sample were not
significantly more likely to be financially dependent on nonwork income than mass-affluent
individuals. Nor were significant differences in financial-enabling behaviors or workaholism ob-
served between the wealthy and the mass affluent.
Dollar cost of recent expenditures. As might be expected, the wealthy reported spending
significantly more money on their latest purchases than the mass affluent. Specifically, they spent
106% more on the most recent home ($542,000 vs. $263,000), 48% more on the most recent car
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137WEALTHY: A FINANCIAL PSYCHOLOGICAL PROFILE
purchase ($40,000 vs. $27,000), 98% more on the last vacation ($8,300 vs. $4,200), and 150% more
on the last watch ($1,090 vs. $440).
Household and family-service providers. Significant differences were also observed in the
number of household and family-service providers employed in the past 12 months by the wealthy
and mass-affluent individuals in the sample. While there was not enough power to analyze hiring
around nannies or personal chefs, the wealthy were significantly more likely to employ the services
of an accountant, an attorney, a financial advisor, a landscaper, a physical trainer, a business or life
coach, and a landscaper/gardener. While much less common, the wealthy were also significantly
more likely to employ the services of a personal or corporate driver (13% vs. 4%). There were no
significant differences between the wealthy and the mass affluent in their employment of educational
tutors.
Interaction with neighbors. No significant difference was found between the wealthy and the
mass affluent in terms of the degree to which they interacted with their neighbors. On average, both
groups indicated that they rarely interact with their neighbors.
Discussion
This study sought to examine the wealthy across a range of personality, behavior, and sociodemo-
graphic variables. Based on the theories of money ambivalence and cognitive dissonance, the
Table 4
Financial and Social Behaviors:
2
Tests
Variable nMass affluent % Wealthy %
2
Accountant 862 62.78 86.71 33.49***
Attorney 823 50.82 69.33 16.94***
Financial advisor 884 85.01 90.45 3.16*
Personal chef 737 1.63 6.40 N/A
Nanny 741 3.41 6.35 N/A
Physical trainer 764 24.01 38.93 12.38***
Life coach 752 15.81 23.81 4.71**
Landscaper 810 43.05 70.95 37.70***
Driver 739 3.92 12.70 15.75***
Tutor 745 5.19 7.03 0.69
*p⬍.10. ** p⬍.05. *** p⬍.01.
Table 3
Financial and Social Behaviors: t Tests for Equality of Means
Variable n
Mass affluent Wealthy
ttest Cohen’s dMean SD Mean SD
$ Enable 817 15.06 4.78 15.56 5.25 ⫺1.13 0.10
$ Dependence 809 9.45 2.97 9.67 3.53 ⫺0.78 0.07
Workaholism 789 25.63 8.19 26.26 8.78 ⫺0.82 0.16
$ Home 695 252,309 218,076 534,918 442,249 ⫺7.72*** 0.86
$ Car 706 26,347 16,685 39,293 19,209 ⫺7.75*** 0.72
$ Vacation 699 4,027 4,863 8,166 8,003 ⫺6.17*** 0.64
$ Watch 795 314 1,054 829 1,757 ⫺3.37*** 0.37
Talk to neighbors 906 2.46 1.08 2.47 1.06 ⫺0.16 0.01
*p⬍.10. ** p⬍.05. *** p⬍.01.
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138 KLONTZ, SULLIVAN, SEAY, AND CANALE
psychology of envy, and relative deprivation, the argument was made that negative views of the
wealthy are pervasive and levels of resentment may be keeping pace with the growing wealth gap
in the United States. Whether deserved or not, research has supported the notion that negative beliefs
about money and wealthier individuals are associated with lower income, lower net worth, and a
host of financially self-destructive behaviors (Klontz & Britt, 2012).
The purpose was to explore common stereotypes of the wealthy and examine the financial
psychology of wealthy individuals compared with individuals who could be classified as mass
affluent, with the goal of increasing our understanding of this group of individuals. Significant
differences were found in the financial psychology of the wealthy compared with other higher net
worth individuals. The largest psychological differences with medium effect sizes were observed in
the areas of overconfidence in investing acumen (d⫽0.61), financial knowledge (d⫽0.49), and
financial satisfaction (d⫽0.34).
In addition, the wealthy endorsed less money-avoidant beliefs, more money-status beliefs, a
more internal locus of control, less of a tendency for loss aversion, and were significantly more
likely to attribute their financial success to both a drive to increase their wealth and a commitment
to follow their passions.
With regard to financial behaviors, the wealthy were more likely to report workaholic behaviors
and admit to making significant investment mistakes. The wealthy were not more likely to be
financially dependent, were no more likely to be averse to paying taxes, were not more reclusive,
and tended to be first-generation earners who worked full-time and were products of public high
schools. The largest differences were seen in the amount of money the wealthy paid for their most
recent purchase compared with the mass affluent. On average, the wealthy paid twice as much for
their homes and their most recent vacations and ⬃50% more for their most recent car purchases. The
wealthy in this sample had an income approximately twice as much as the mass affluent, which
appears to correspond with their purchases. However, the wealthy had a median net worth 340%
higher than the mass affluent, suggesting that income could be a better indicator of spending habits
than net worth.
Mental-health Professionals and Money
Mental-health professionals are not immune to negative beliefs about money and wealth. Of
particular interest to consulting psychologists is that mental-health professionals may be at even
higher risk of money-avoidant beliefs and poor financial health. Specifically, one study found that
when compared with other professionals, mental-health professionals were less likely to pay off
credit cards each month, have a budget, have adequate insurance, have money set aside for
emergencies, have confidence in their financial knowledge, and report comfort with their financial
status (Britt, Klontz, Tibbetts, & Leitz, 2014). When compared with financial planners, mental-
health professionals were more likely to endorse money avoidance and antirich beliefs and to engage
in financial-denial behaviors (e.g., avoiding looking at bank statements, trying to forget about one’s
financial situation; Klontz & Britt, 2012). A mental-health professional who is experiencing
significant financial stress related to his or her own lack of financial health could be less effective
in overall job performance.
It has been suggested that therapists’ own unresolved money issues have led to the topic of
money being avoided in the psychological literature, even though money is consistently the primary
source of stress in the lives of three out of four Americans (Klontz et al., 2008;Trachtman, 1999).
In addition to potential stress associated with one’s own financial health, an avoidant or ambivalent
relationship with money can impact the work of a consulting psychologist in several ways. First, it
can have a negative impact on the consulting psychologist’s ability to maintain rapport and positive
regard with wealthier clients, including higher level executives, who may belong to a higher
socioeconomic class. This could lead to feelings of envy and/or relative deprivation that interfere
with the ability to establish rapport and the consulting process. A lack of familiarity with the norms,
backgrounds, and psychology of people from different socioeconomic classes can also have a
negative impact on the consulting process. Schein (2003) cautioned that failure to take adequate
sociological and cultural considerations of one’s client into account can have a negative impact on
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139WEALTHY: A FINANCIAL PSYCHOLOGICAL PROFILE
the consulting-psychology relationship and can negatively impact outcomes. As such, it follows that
a better understanding of the financial psychology of wealthier individuals can help the consulting
psychologist better serve his or her wealthier clients.
As mentioned above, negative beliefs about money and attitudes toward the wealthy have been
associated with poor financial outcomes and self-destructive financial behaviors (Klontz, & Britt,
2012). The present study adds supports for the association between money beliefs and income and
net worth. It follows that psychological intervention targeting self-limiting financial beliefs and
self-destructive financial behaviors could be useful in helping clients challenge and change their
problematic money beliefs and improve their financial trajectory. Several psychotherapeutic ap-
proaches have been adapted to address the psychological components of clients’ financial health in
an effort to improve their financial status and psychological well-being, including cognitive–
behavioral therapy, solution-focused therapy, systemic therapy, humanistic therapy, psychodynamic
therapy, and motivational interviewing (Klontz, Britt, & Archuleta, 2015).
Limitations and Future Directions
There are important limitations to this study. While the respondents were drawn directly from clients
of financial planners, they were a convenience sample, and as such, they were not selected at
random. The study relied exclusively on self-report data and there was no direct observation of
behaviors or objective measures of financial status. Furthermore, the results are strictly descriptive
and cannot be used to establish cause-and-effect relationships between personality variables and
SES. These findings would benefit from further scrutiny and cross-validation from a randomly
selected multicultural sample, both within the United States and abroad. Additionally, a larger and
more diverse sample would allow for examining whether differences in financial psychology exist
across various demographic groups, including comparing money beliefs across various generations
(e.g., Millennials vs. Baby Boomers).
While there are limits to this study, it is offered as a glance into the psychological characteristics
and financial behaviors of this group of individuals who are not well understood but frequently
served by consulting psychologists. Future research could explore the nature of these personality
characteristics to see if they predict future inclusion in higher socioeconomic groups. If certain
personality traits are predictive, it could provide support for cognitive– behavioral interventions
targeting beliefs, attitudes, and behaviors that are keeping a person from reaching his or her goals.
When limiting financial beliefs are identified, they can be changed (Klontz & Britt, 2012). There is
also evidence to support the notion that psychological traits can change over time (Borghans et al.,
2008) and can be altered by therapeutic interventions (De Fruyt, Van Leeuwen, Bagby, Rolland, &
Rouillon, 2006). A deeper understanding of the wealthy can help consulting psychologists better
serve this population and help individuals aspiring to increase their income and net worth by
challenging inaccurate beliefs about this population’s psychology and financial behaviors.
References
Adler, N. E., Epel, E. S., Castellazzo, G., & Ickovics, J. R. (2000). Relationship of subjective and objective social
status with psychological and physiological functioning: Preliminary data in healthy White women. Health
Psychology, 19, 586 –592. http://dx.doi.org/10.1037/0278-6133.19.6.586
Adler, N. E., & Snibbe, A. C. (2003). The role of psychosocial processes in explaining the gradient between
socioeconomic status and health. Current Directions in Psychological Science, 12, 119 –123. http://
dx.doi.org/10.1111/1467-8721.01245
Aldana, S. G., & Liljenquist, W. (1998). Validity and reliability of a financial strain survey. Financial
Counseling and Planning, 9, 11–18.
Almlund, M., Duckworth, A. L., Heckman, J. J., & Kautz, T. D. (2011). Personality psychology and economics
(No. w16822). Cambridge, MA: National Bureau of Economic Research. http://dx.doi.org/10.3386/w16822
Bernburg, J. G., Thorlindsson, T., & Sigfusdottir, I. D. (2009). Relative deprivation and adolescent outcomes in
Iceland: A multilevel test. Social Forces, 87, 1223–1250. http://dx.doi.org/10.1353/sof.0.0177
Borghans, L., Duckworth, A. L., Heckman, J. J., & Ter Weel, B. (2008). The economics and psychology of
personality traits. The Journal of Human Resources, 43, 972–1059. http://dx.doi.org/10.1353/jhr.2008.0017
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
140 KLONTZ, SULLIVAN, SEAY, AND CANALE
Bricker, J., Kennickell, A. B., Moore, K. B., & Sabelhaus, J. (2012). Changes in U.S. family finances from 2007
to 2010: Evidence from the survey of consumer finances. Federal Reserve Bulletin, 98, 1–80. Retrieved from
http://www.federalreserve.gov/pubs/bulletin/2012/pdf/scf12.pdf
Britt, S. L., Klontz, B. T., Tibbetts, R., & Leitz, L. (2014). The financial health of mental health professionals.
Manuscript under review.
Callan, M. J., Shead, N. W., & Olson, J. M. (2011). Personal relative deprivation, delay discounting, and
gambling. Journal of Personality and Social Psychology, 101, 955–973. http://dx.doi.org/10.1037/a0024778
Chamorro-Premuzic, T., & Furnham, A. (2003). Personality predicts academic performance: Evidence from two
longitudinal university samples. Journal of Research in Personality, 37, 319 –338. http://dx.doi.org/10.1016/
S0092-6566(02)00578-0
Cohen, J. (1988). Statistical power analysis for behavioral science (2nd ed.). Hills-Dale, NJ: Erlbaum.
D’Ambrosio, C., & Frick, J. R. (2007). Income satisfaction and relative deprivation: An empirical link. Social
Indicators Research, 81, 497–519.
Dambrun, M., Taylor, D. M., McDonald, D. A., Crush, J., & Méot, A. (2006). The relative deprivation-
gratification continuum and the attitudes of South Africans toward immigrants: A test of the V-curve
hypothesis. Journal of Personality and Social Psychology, 91, 1032–1044. http://dx.doi.org/10.1037/0022-
3514.91.6.1032
De Fruyt, F., Van Leeuwen, K., Bagby, R. M., Rolland, J. P., & Rouillon, F. (2006). Assessing and interpreting
personality change and continuity in patients treated for major depression. Psychological Assessment, 18,
71–80. http://dx.doi.org/10.1037/1040-3590.18.1.71
Dewan, S., & Gebeloff, R. (2012, Jan. 14). Among the wealthiest 1 percent, many variations. The New York
Times. Retrieved from http://www.nytimes.com/2012/01/15/business/the-1-percent-paint-a-more-nuanced-
portrait-of-the-rich.html
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of
Personality Assessment, 49, 71–75. http://dx.doi.org/10.1207/s15327752jpa4901_13
Dunn, A. (2012). Average American vs the One Percent. Forbes.com. Retrieved from http://www.forbes.com/
sites/moneywisewomen/2012/03/21/average-america-vs-the-one-percent/
Elliot, A. J., & Devine, P. G. (1994). On the motivational nature of cognitive dissonance: Dissonance as
psychological discomfort. Journal of Personality and Social Psychology, 67, 382–394.
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117–140. http://dx.doi.org/
10.1177/001872675400700202
Festinger, L. (1962). Cognitive dissonance. Scientific American, 207, 93–106. http://dx.doi.org/10.1038/
scientificamerican1062-93
Gallo, W. T., Endrass, J., Bradley, E. H., Hell, D., & Kasl, S. V. (2003). The influence of internal control on the
employment status of German workers. Schmollers Jahrbuch, 123, 71–81.
Gebeloff, R., & Dewan, S. (2012, Jan. 17). Measuring the top 1% by wealth, not income. The New York Times.
Retrieved from http://economix.blogs.nytimes.com/2012/01/17/measuring-the-top-1-by-wealth-not-income/
?_php⫽true&_type⫽blogs&_r⫽0
Gelissen, J., & de Graaf, P. M. (2006). Personality, social background, and occupational career success. Social
Science Research, 35, 702–726. http://dx.doi.org/10.1016/j.ssresearch.2005.06.005
Goetzmann, W. N., & Peles, N. (1997). Cognitive dissonance and mutual fund investors. Journal of Financial
Research, 20, 145–158. http://dx.doi.org/10.1111/j.1475-6803.1997.tb00241.x
Grable, J. E. (2008). Risk tolerance. In J. J. Xiao (Ed.), Handbook of consumer finance research (pp. 3–19). New
York, NY: Springer Publishing. http://dx.doi.org/10.1007/978-0-387-75734-6_1
Grable, J. E., Archuleta, K. L., & Roy, R. N. (2011). Financial planning and counseling scales. New York, NY:
Springer. http://dx.doi.org/10.1007/978-1-4419-6908-8
Grable, J. E., & Lytton, R. H. (1999). Financial risk tolerance revisited: The development of a risk assessment
instrument. Financial Services Review, 8, 163–181. http://dx.doi.org/10.1016/S1057-0810(99)00041-4
Grable, J. E., & Lytton, R. H. (2003). The development of a risk assessment instrument: A follow-up study.
Financial Services Review, 12, 257–274.
Grable, J. E., Park, J. Y., & Joo, S. H. (2009). Explaining financial management behavior for Koreans living in
the United States. Journal of Consumer Affairs, 43, 80 –107. http://dx.doi.org/10.1111/j.1745-
6606.2008.01128.x
Griskevicius, V., Ackerman, J. M., Cantú, S. M., Delton, A. W., Robertson, T. E., Simpson, J. A.,...Tybur,
J. M. (2013). When the economy falters, do people spend or save? Responses to resource scarcity depend on
childhood environments. Psychological Science, 24, 197–205. http://dx.doi.org/10.1177/0956797612451471
Heckman, J. J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and noncognitive abilities on labor
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
141WEALTHY: A FINANCIAL PSYCHOLOGICAL PROFILE
market outcomes and social behavior (No. w12006). Cambridge, MA: National Bureau of Economic
Research. http://dx.doi.org/10.3386/w12006
Hilgert, M. A., Hogarth, J. M., & Beverly, S. G. (2003). Household financial management: The connection
between knowledge and behavior. Federal Reserve Bulletin, 89, 309 –322.
Internal Revenue Service. (2012). Statistics of income: 2012 tax statistics. Retrieved from http://www.irs.gov/
PUP/taxstats/12taxstatscard.pdf
John-Henderson, N., Jacobs, E. G., Mendoza-Denton, R., & Francis, D. D. (2013). Wealth, health, and the
moderating role of implicit social class bias. Annals of Behavioral Medicine, 45, 173–179. http://dx.doi.org/
10.1007/s12160-012-9443-9
Johnson, W., & Krueger, R. F. (2006). How money buys happiness: Genetic and environmental processes linking
finances and life satisfaction. Journal of Personality and Social Psychology, 90, 680 –691.
Joo, S. H., & Grable, J. E. (2004). An exploratory framework of the determinants of financial satisfaction.
Journal of Family and Economic Issues, 25, 25–50. http://dx.doi.org/10.1023/B:JEEI.0000016722.37994.9f
Kim, E., & Glomb, T. M. (2014). Victimization of high performers: The roles of envy and work group
identification. Journal of Applied Psychology, 99, 619 –634. http://dx.doi.org/10.1037/a0035789
Kim, J., Garman, E. T., & Sorhaindo, B. (2003). Relationship among credit counseling clients’ financial well,
financial behaviors, financial stressor events, and health. Financial Counseling and Family Planning, 14,
75–87.
Klontz, B. T., Bivens, A., Klontz, P. T., Wada, J., & Kahler, R. (2008). The treatment of disordered money
behaviors: Results of an open clinical trial. Psychological Services, 5, 295–308. http://dx.doi.org/10.1037/
1541-1559.5.3.295
Klontz, B. T., & Britt, S. L. (2012). How clients’ money scripts predict their financial behaviors. Journal of
Financial Planning, 25, 46 –53.
Klontz, B. T., Britt, S. L., & Archuleta, K. L. (Eds.). (2015). Financial therapy: Theory, research, and practice.
New York, NY: Springer. http://dx.doi.org/10.1007/978-3-319-08269-1
Klontz, B. T., Britt, S. L., Archuleta, K. L., & Klontz, T. (2012). Disordered money behaviors: Development of
the Klontz Money Behavior Inventory. Journal of Financial Therapy, 3, 17–42. http://dx.doi.org/10.4148/
jft.v3i1.1485
Klontz, B. T., Britt, S. L., Mentzer, J., & Klontz, T. (2011). Money beliefs and financial behaviors: Development
of the Klontz Money Script Inventory. Journal of Financial Therapy, 2, 1–22. http://dx.doi.org/10.4148/
jft.v2i1.451
Klontz, B., & Klontz, T. (2009). Mind over money: Overcoming the money disorders that threaten our financial
health. New York, NY: Broadway Business.
Klontz, B. T., Seay, M., Sullivan, P., & Canale, A. (2014). The psychology of wealth: Psychological factors
associated with high income. Manuscript submitted for publication.
McDowell, T., Melendez-Rhodes, T., Althusius, E., Hergic, S., Sleeman, G., Ton, N. K., & Zimpfer-Bak, A. J.
(2013). Exploring social class: Voices of inter-class couples. Journal of Marital and Family Therapy, 39,
59 –71. http://dx.doi.org/10.1111/j.1752-0606.2011.00276.x
Mueller, G., & Plug, E. (2006). Estimating the effect of personality on male and female earnings. Industrial &
Labor Relations Review, 60, 3–22.
Northern, J. J., O’Brien, W. H., & Goetz, P. W. (2010). The development, evaluation, and validation of a
financial stress scale for undergraduate students. Journal of College Student Development, 51, 79 –92.
http://dx.doi.org/10.1353/csd.0.0108
Pavot, W., & Diener, E. (1993). Review of the satisfaction with life scale. Psychological Assessment, 5,
164 –172. http://dx.doi.org/10.1037/1040-3590.5.2.164
Perry, V. G., & Morris, M. D. (2005). Who is in control? The role of self-perception, knowledge, and income
in explaining consumer financial behavior. Journal of Consumer Affairs, 39, 299 –313. http://dx.doi.org/
10.1111/j.1745-6606.2005.00016.x
Roberts, B. W., Kuncel, N. R., Shiner, R., Caspi, A., & Goldberg, L. R. (2007). The power of personality: The
comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting impor-
tant life outcomes. Perspectives on Psychological Science, 2, 313–345. http://dx.doi.org/10.1111/j.1745-
6916.2007.00047.x
Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement. Psycholog-
ical Monographs: General and Applied, 80, Whole No. 609.
Rotter, J. B. (1975). Some problems and misconceptions related to the construct of internal versus external
control of reinforcement. Journal of Consulting and Clinical Psychology, 43, 56 –67. http://dx.doi.org/
10.1037/h0076301
Rumbaugh, A. (2014, July 16). Banks woo the ‘mass affluent’ with special programs. Houston Chronicle.
This document is copyrighted by the American Psychological Association or one of its allied publishers.
This article is intended solely for the personal use of the individual user and is not to be disseminated broadly.
142 KLONTZ, SULLIVAN, SEAY, AND CANALE
Retrieved from http://www.houstonchronicle.com/business/article/Bank-of-America-others-court-mass-
affluent-5626496.php
Schein, E. H. (2003). Five traps for consulting psychologists, or how I learned to take culture seriously.
Consulting Psychology Journal: Practice and Research, 55, 75–83. http://dx.doi.org/10.1037/1061-
4087.55.2.75
Smith, R. H., & Kim, S. H. (2007). Comprehending envy. Psychological Bulletin, 133, 46 –64. http://dx.doi.org/
10.1037/0033-2909.133.1.46
Stellar, J. E., Manzo, V. M., Kraus, M. W., & Keltner, D. (2012). Class and compassion: Socioeconomic factors
predict responses to suffering. Emotion, 12, 449 –459. http://dx.doi.org/10.1037/a0026508
Stone, C., Trisi, D., Sherman, A., & Chen, W. (2013). A guide to statistics on historical trends in income
inequality. Center on Budget and Policy Priorities. Retrieved from http://www.cbpp.org/cms/
?fa⫽view&id⫽3629
Trachtman, R. (1999). The money taboo: Its effects in everyday life and in the practice of psychotherapy.
Clinical Social Work Journal, 27, 275–288. http://dx.doi.org/10.1023/A:1022842303387
Weingardt, K. R. (2000). Viewing ambivalence from a sociological perspective: Implications for psychothera-
pists. Psychotherapy: Theory, Research, Practice, Training, 37, 298 –306. http://dx.doi.org/10.1037/0033-
3204.37.4.298
Zagorsky, J. L. (2007). Do you have to be smart to be rich? The impact of IQ on wealth, income and financial
distress. Intelligence, 35, 489 –501. http://dx.doi.org/10.1016/j.intell.2007.02.003
Zhao, H., Seibert, S. E., & Lumpkin, G. T. (2010). The relationship of personality to entrepreneurial intentions
and performance: A meta-analytic review. Journal of Management, 36, 381–404. http://dx.doi.org/10.1177/
0149206309335187
Received August 2, 2014
Latest revision received December 17, 2014
Accepted December 23, 2014 䡲
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