the relationship between machiavellianism, self-monitoring, and sarcasm production
DESCRIPTION
A survey of 150 university students, in addition to 68 non-students recruited by the student respondents, was conducted to determine personality traits that influence sarcasm production. Regression analysis indicated that two subscales (Negative Tactics and Positive View of Human Nature) of the Christie-Geis Machiavellianism Scale (Mach V) and one subscale (Performance) of the Lennox and Wolfe Self-Monitoring Scale (SMS) significantly predicted sarcasm usage as determined by the Sarcasm Self-Report Scale (Ivanko, Pexman, & Olineck, 2004)TRANSCRIPT
The Relationship Between Machiavellianism, Self-Monitoring,
Emotional Expressivity and Sarcasm Production
Patricia Rockwell
Department of Communication
University of Louisiana at Lafayette
Lafayette, LA 70504
Submitted to the Communication and Social Cognition Division of the National
Communication Association for presentation at the annual convention, November, 2006,
in San Antonio, TX
Abstract
A survey of 150 university students, in addition to 68 non-students recruited by the
student respondents, was conducted to determine personality traits that influence sarcasm
production. Regression analysis indicated that two subscales (Negative Tactics and
Positive View of Human Nature) of the Christie-Geis Machiavellianism Scale (Mach V)
and one subscale (Performance) of the Lennox and Wolfe Self-Monitoring Scale (SMS)
significantly predicted sarcasm usage as determined by the Sarcasm Self-Report Scale
(Ivanko, Pexman, & Olineck, 2004)
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The Relationship Between Machiavellianism, Self-Monitoring,
Emotional Expressivity and Sarcasm Production
Most research on sarcasm production considers the linguistic and rhetorical
features of sarcastic utterances (Clark & Gerrig, 1984; Jorgensen, Miller, & Sperber,
1984; Kreuz & Glucksberg, 1989; Sperber, 1984). Scant studies have actually
investigated characteristics of communicators who produce sarcasm. Of those studies
that have examined users of sarcasm, most have explored demographic features such as
age, culture, gender, and relationship (Gibbs, 2000; Rockwell, 2001, 2003; Rockwell &
Theriot, 2001). Yet to be determined are individual personality traits that facilitate or
promote the production of sarcasm. This determination is crucial because although
relatively infrequent in conversation, sarcasm is a potent, often destructive behavior that
can have confusing if not devastating effects on communication (Glaser et al., 2000).
Rockwell (2005), for example, found a significant but small positive correlation between
speakers’ cognitive complexity and their expression of sarcasm. The present study hopes
to expand on this approach and determine individual traits that promote sarcasm
production with the ultimate goal of providing a clearer picture of the sarcastic speaker.
An extensive number of instruments have been developed to measure sarcasm
recognition (Clark & Gerrig, 1984; Gerrig & Goldvarg, 2000; Jorgensen, Miller &
Sperber, 1984; Kaufer, 1981; Kreuz & Glucksberg, 1989; Slugoski & Turnbull, 1988;
Sperber, 1984 Williams, 1984), but few to measure sarcasm production. Ivanko,
Pexman, and Olineck’s (2004) Sarcasm Self-Report Scale (SSS) is a recent attempt to
measure individuals’ reports of their own behavior regarding sarcasm use and the types
of situations that prompt these behaviors. The researchers report four subscales for the
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SSS: General Sarcasm, Face-Saving, Embarrassment Diffusion, and Frustration
Diffusion. The questions in the scale ask respondents to rate (on a scale from “1” for
“not at all” to “7” for “extremely likely”) the likelihood that they would use sarcasm in
various situations. The four factors reported were determined through principle
components analysis (PCA) in two separate studies conducted by the researchers.
“General Sarcasm” was found to measure overall tendency to use sarcasm. “Face-
saving” measures the likelihood of using sarcasm with “new acquaintances or when
complimenting.” “Embarrassment Diffusion” measures how speakers use sarcasm to
downplay their own accomplishments and “Frustration Diffusion” measures how
speakers use sarcasm to decrease the annoyance of various frustrating situations. The
researchers found that participants’ responses on the SSS predicted their behavior in a
sarcasm production task and also predicted their ability to quickly and correctly recognize
sarcastic messages.
Personality has been studied extensively and psychologists have developed
several methods for categorizing major personality differences. Researchers have
postulated that individuals with certain personality types may be more inclined to
produce certain behaviors than those with other personality types. For example, one
early personality categorization system was the Myers-Briggs. Of the four personality
types described by Keirsey (1998) in his adaptation of the Myers-Briggs Personality
Test (artisans, guardians, idealists, and rationals), artisans are seen as most likely to use
sarcasm, and rationals are seen as least likely to use sarcasm. Artisans, according to
Keirsey (1998) are more prone to use sarcasm “because of their tendency to do
whatever is necessary, even if that means being rude” (p. 47). Rationals were argued to
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be the least sarcastic personality type in Keirsey’s system because they maintain a
greater distance from people than other types (p. 163). These observations, however,
remain to be tested. Even so, they represent an initial attempt at connecting personality
traits to sarcasm production.
Psychologists have investigated and labeled numerous personality traits that
have proven relevant in the study of individual behavior. Traits such as altruism,
emotional intelligence, creativity, neuroticism, extraversion, optimism, are just a few of
many concepts devised by psychologists to measure individual personality traits.
Some, if not all, of these personality traits may influence individuals’ production of
sarcasm. However, in attempting to focus on those traits with the greatest possible
association to sarcasm production, three well-investigated traits have been selected for
this study: Machiavellianism, self-monitoring, and emotional expressivity. The
rationale for inclusion of each of these three variables will be discussed individually in
the following sections.
Machiavellianism and Sarcasm Production
Machiavellianism is the personality trait of manipulation (Allsopp, Eysenck, &
Eysenck, 1991; Christie & Geis, 1970, McCutcheon, 2002). The High Mach is “a
socially malevolent character with behavioral tendencies toward self-promotion,
emotional coldness, duplicity, and aggressiveness.” (Paulhus & Williams, 2002, p.
557). High Machs are controlling and use others to their own advantage. They tend to
have “Type A” personalities and are less ethically-oriented than Low Machs (Rayburn
& Rayburn, 1996). Scientists have found that there is no significant correlation
between Machiavellianism and intelligence, and have also found that high levels of
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Machiavellianism do not necessarily lead to social success (Wilson & Miller, 1996).
Some researchers have reported a correlation between Machiavellianism and
psychopathy (McHoskey et. al., 2001). In one study, male medical students rated
themselves higher than female medical students on Machiavellianism (Merrill et. al.,
1993).
There has been little research on the language behaviors of high and low Machs.
In one study, High Machs used more first person-singular pronouns than Low Machs
(Ickes et al, 1986). It is intuitively appealing to imagine High Machs as using language
features—including sarcasm--that they believe will aid them in achieving their goals.
The standard test for Machiavellianism is Christie and Geis’ (1970) Mach V
Scale. This 20-item survey has been modified from the former Mach IV test, by
replacing forced-choice items with Likert-type items having responses of “1” to “7.”
Corral and Calvete’s (2000) confirmatory factor analyses of the Mach IV produced four
factors: Positive Interpersonal Tactics, Negative Interpersonal Tactics, Positive View
of Human Nature, and Negative View of Human Nature. The “Positive Interpersonal
Tactics” subscale measures actual behaviors reported by respondents used to achieve
their goals and the “Negative Interpersonal Tactics” subscale measures negative
behaviors reported by respondents used to achieve their goals. The “Positive View of
Human Nature” subscale measures positive attitudes about others that are held by
respondents, and the “Negative View of Human Nature” subscale measures negative
attitudes about others that are held by respondents. The survey includes items such as
“I handle people by telling them what they want to hear,” (Positive Interpersonal
Tactics), “I would be prepared to walk all over people to get what I want” (Negative
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Interpersonal Tactics), “I believe there’s a sucker born every minute” (Negative View
of Human Nature), and “Honesty is the best policy in all cases.” (Positive View of
Human Nature) (Christie & Geis, 1970).
Various researchers have used and examined the Mach IV and Mach V, and
some have complained that the test does not produce reliable results (e. g., Ray, 1983).
Even so, the Mach tests remain the gold standard for determining Machiavellianism.
The Machiavellian individual has a cynical view of human behavior and a
willingness to put that cynicism to practice. An individual who uses sarcasm is
expressing cynicism about something, but for some reason is not willing to state this
cynicism directly. Possibly this indirect approach is a strategy of high Machs. Due to
these observations, the following hypothesis is presented:
H1: There will be a positive correlation between Machiavellianism (as
measured by the four subscales of the Mach V) and sarcasm production (as measured
by the four subscales of the SSS).
Self-Monitoring and Sarcasm Production
Self-monitoring is the trait of observing one’s own behavior and adjusting that
behavior when necessary to adapt to other people and surroundings (Day et.al., 2002;
Gudykunst, 1985; Lindsey & Green, 1987). The ability to self-monitor is considered
integral to effective social functioning (Riggio & Friedman, 1982). High self-monitors
tend to adapt to situations, letting the requirements of the situation dictate their
behavior. Low self-monitors behave relatively the same way in all circumstances and
are less aware or less concerned about their own behavior. One theorist (Behncke,
2005) notes that in actuality, Highs monitor the behavior of others rather than their own
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behavior in order to determine how their own behavior compares and then typically
adjust their behavior based upon these observations. Lows do not monitor their own or
others’ behaviors because they have little or no interest in adjusting their own behavior.
One study found that students rated high self-monitoring teachers better than low self-
monitoring teachers (Larkin, 1987).
Little research has been conducted regarding the language behaviors of self-
monitors. In one study, high self-monitors used more second and third person pronouns
than did low self-monitors (Ickes et. al., 1986) implying a desire to not take
responsibility for one’s own views. In another study (Galbraith, 1996), high self-
monitors produced more new ideas after writing notes than did low self-monitors.
However, this result was reversed when subjects were asked to write finished texts,
with low self-monitors producing more new ideas than high self-monitors.
The use of sarcasm implies a muting or indirection of one’s true feelings,
something one might expect of high self-monitors. On the other hand, low self-
monitors may use a more negative abusive form of sarcasm when they are angry
because they are not particularly concerned about what others think of them.
Self-monitoring and related concepts have been measured in a variety of
different ways. The Lennox and Wolfe Self-Monitoring Scale (SMS) (Schutte &
Malouff, 1999) is a frequently used instrument to measure self-monitoring and appears
to be comprised of two factors: Sensitivity and Performance. The “Sensitivity”
subscale measures individuals’ ability to sense how others view them, and the
“Performance” subscale measures their ability to put this sensitivity to use. Sample
items include: “I am often able to read people’s true emotions correctly through their
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eyes,”(Sensitivity) and “When I feel that the image I am portraying isn’t working I can
readily change it to something that does” (Performance).
The implication with self-monitoring is that people monitor their own behavior
so that they can change those behaviors that are not interpersonally successful. The
question with self-monitoring and sarcasm use is whether a high self-monitor, who is
more sensitive to others and more willing to adapt behaviors, would recognize when
sarcasm might be used successfully and thus, use it more or less frequently. Due to the
fact that it is uncertain how any correlation between self-monitoring and sarcasm
production might evolve, the following research question is posed:
RQ1: What correlation, if any, exists between self-monitoring (measured by the
two subscales of the SMS) and sarcasm production (measured by the four subscales of
the SSS)?
Emotional Expressivity
Some individuals are more emotionally expressive than others (Bippus &
Young, 2005; Friedman & Miller-Herringer, 1991). “An individual is emotionally
expressive to the extent that he or she manifests emotional impulses behaviorally”
(Gross & John, 1997, p. 435). These researchers point out that individuals differ
greatly in their expression of emotion. They differ in the strength or valence of emotion
that is required to activate expression and also they differ in the way they modulate or
filter the emotions that they express. Some individuals allow their emotions expression
readily while others inhibit the expression of the emotions they experience. The
reasons for these differences include cultural “display rules” as well as individual
differences in the intensity of the emotional experience. Gross and John’s study
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determined that individuals are capable of recognizing the emotions they experience as
well as how they express these emotions.
In another study (Hess, Senécal, Kirouac, Herrera, Phillippot, & Kleck, 2000),
gender differences were found in stereotypes that people possess regarding the way
men and women experience and express emotions, with men being perceived of as
experiencing and expressing positive emotions more than women, and women being
perceived of as experiencing and expressing negative emotions more than men. In Hess
et. al’s study, men and women also reported similar reactions about their own
experience and expression of emotion.
The Berkeley Expressivity Questionnaire (BEQ) (Gross & John, 1995) is a
standard test of emotional expressiveness. It includes 16 items that produce three
subscales (impulse strength, positive expressivity, and negative expressivity). The
“Impulse Strength” subscale concerns how strong individuals perceive their emotions.
The “Positive Expressivity” subscale concerns whether and to what extent individuals
perceive that they express positive emotions, and the “Negative Expressivity” subscale
concerns whether and to what extent individuals perceive that they express negative
emotions. Sample items include: “I have strong emotions” (Impulse Strength), “I
sometimes cry during sad movies,”(Negative Expressivity), and “When I am happy, my
feelings show” (Positive Expressivity).
A key question is whether the use of sarcasm is an indication or higher or lower
emotional expressivity. Possibly, more expressive individuals will present anger more
readily when they feel it by using sarcasm. On the other hand, individuals who are not
emotionally expressive may use sarcasm to attenuate their anger expression. Due to the
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dearth of research on relationships between emotional expressivity and sarcasm
production, the following research question is posed:
RQ2: What correlation exists, if any, between emotional expressivity
(measured by the BEQ and its three subscales) and sarcasm production (measured by
the four subscales of the SSS)?
Method
We surveyed students in all sections of communication courses at a large southern
university during the summer of 2005. Student respondents completed the survey during
class. After completion of the student surveys, student participants were asked to
distribute surveys to non-students whom they knew (one male and one female—
maximum of two) so as to acquire a larger, more diverse sample. Students were given
extra credit for returning surveys completed by non-students. No identifying
information was asked on the student surveys; however, on the non-student surveys, we
asked for the respondent’s names and phone numbers so that we could call to verify that
the respondents were who they said they were. Following verification, the respondents’
names were removed from the survey. A removable cover letter was attached to all
surveys which explained the purpose of the survey and which included contact
information if respondents wished to discuss the survey with the investigator. A
removable consent form followed the cover letter and was removed by the research
assistant when the respondent returned the survey. The consent forms were kept only
long enough to ensure that the student respondents received their extra credit.
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Instrument
The survey consisted of demographic questions, the Sarcasm Self-Survey (SSS)
(Ivanko, Pexman, & Olineck, 2004), a modified version of the Mach V (Christie & Geis,
1970), the Lennox and Wolfe Self-Monitoring Scale (SMS) (Schutte & Malouff, 1999),
and the Berkeley Expressivity Index (BEQ) (Schutte & Malouff, 1999).
Results
We collected data from 150 students and 68 non-students for a total of 218
respondents (males = 87, females = 131). Summary statistics of the sarcasm questions
revealed interesting results (see Table 1 for sarcasm question means). The question on
the SSS with the highest mean score (greatest likelihood) was “What is the likelihood you
would use sarcasm with your best friend?” (m = 5.66, sd = 1.72). The question with the
lowest mean score (least likelihood) was “What is the likelihood you would use sarcasm
with a new colleague at work?” (m = 2.58, sd = 1.54).
In order to determine the relationship between the independent variables of
Machiavellianism, self-monitoring, and emotional expressivity and the dependent
variable of self-reported sarcasm use, linear regression analyses were conducted. We
intended to determine if we could predict respondents’ self-reports of sarcasm use from
their self-reports of Machiavellianism, self-monitoring, and emotional expressivity.
The overall regression analysis was significant (see Table 2 for regression
analysis results), allowing further investigation of the individual variables. The analysis
produced significant results for components of two of the three scales: two subscales of
Machiavellianism (Negative Interpersonal Tactics and Positive View of Human Nature)
and one subscale of Self-Monitoring (Performance) on the combined four subscales of
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sarcasm use. The variation accounted for, as indicated by the R², was 26%. This
suggests that these three subscale factors predict over a quarter of total sarcasm usage.
Emotional expressivity did not predict sarcasm usage, nor did the Positive Interpersonal
Tactics or Negative View of Human Nature subscales of the Mach V, nor the impulse
control subscale of Self-Monitoring Scale.
Discussion
This study attempted to determine which, if any, of the personality traits of
Machiavellianism, self-monitoring, and emotional expressivity, would predict sarcasm
use as determined by self-reports. We found a strong correlation between two
Machiavellian subscales (Negative Interpersonal Tactics and Positive View of Human
Nature) and the self-monitoring subscale of Performance with sarcasm use.
The fact that we found significance between only some subscales of these
commonly measured personality traits cautions researchers to remember that many of the
instruments used in social science research are multifaceted. Indeed, the Mach V’s four
components measure behavior (Positive and Negative Interpersonal Tactics) as well as
attitude (Positive and Negative Views of Human Nature). In our study, one tactics
component and one attitude component were strongly correlated with sarcasm use. This
finding is unusual. One might expect the Negative Interpersonal Tactics subscale to
predict sarcasm use better than Positive Interpersonal Tactics. However, it is strange that
the Positive View of Human Nature subscale was a significant predictor of sarcasm use
and not the Negative View of Human Nature subscale. One possible explanation is that
two of the Positive View of Human Nature subscale’s questions emphasized honesty, and
those who see themselves as honest may be more willing to use sarcasm.
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We found also that the Performance subscale of the Self-Monitoring Scale
significantly predicted sarcasm use—but not the Sensitivity subscale. Here, the key
appears to be actual behavior rather than attitude serving as the predictor. Individuals
who reported that they actually act on the information they acquire from the monitoring
that they do were more likely to report sarcasm use. Individuals who are sensitive to how
others view them may not always act on this behavior and thus may be less likely to use
sarcasm.
We were surprised to find that emotional expressivity did not correlate with
reported sarcasm usage. Is the sarcastic individual attempting to control their true
feelings when they use sarcasm? Or do sarcastic remarks represent a genuine revelation
of speakers’ true feelings couched in socially acceptable terms? This study did not
provide an answer to this question.
We did not find that the three subscales of the BEQ were positively correlated
with the SSS as were two subscales of the MACH V and one of the SMS; we believed we
would see similar correlations with the BEQ’s subscales. This did not happen. It appears
then, that the behaviors measured by the BEQ have little connection to sarcasm
production. That is, it appears that heavy sarcasm producers do not necessarily see
themselves as emotionally expressive. However, when one considers emotional
expression, one assumes the speaker is expressing emotion accurately and willingly. This
may not be what actually happens. Indeed, some sarcastic individuals may, for some
reason, retain greater control and be less emotionally expressive. Finally, as some
researchers have noted, “. . . from an evolutionary perspective, language did not emerge
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as a vehicle to express emotions” (Pennebaker et al., 2003, p. 27). Indeed, emotion is
typically conveyed through nonverbal rather than verbal means.
Thus, some of the traits of manipulative and monitoring behaviors seem to have a
strong relationship to sarcasm production. These findings help “flesh out” the picture of
the sarcastic speaker. Sarcasm users appear to practice negative manipulation of others
while maintaining a positive view of human nature. They are able and willing to adjust
to the information provided by self-monitoring.
This study considered how psychological traits impact the language behavior
called sarcasm. A future study may reverse this approach and examine how sarcasm
usage influences psychological traits. As noted by other researchers, “The words people
use in their daily lives can reveal important aspects of their social, psychological worlds.”
(Pennebaker et al., 2003, p. 1).
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Table 1Sarcasm Self-Report (SSS) Item Means and Standard Deviations (scale: “1” = “not at all,” “7” = “extremely”)
Mean Standard Deviation
1.Use sarcasm with someone you just met 3.34 1.66
2. How sarcastic are you? 4.56 1.59
3. Use sarcasm to insult someone 5.24 1.80
4. Use sarcasm with best friend 5.66 1.72
5. How sarcastic would friends say you are? 4.60 1.72
6. Use sarcasm with new colleague at work 2.58 1.54
7. Use sarcasm to compliment someone 2.79 1.57
8. How often do you make sarcastic comments? 3.91 1.57
9. When you and roommate are arguing about chores 4.23 1.78
10. When you score winning point for team 3.48 1.97
11. When you made mistake on assignment 3.50 1.89
12. When you are in long line at grocery store 4.68 1.92
13. When you just got engaged and telling friends 2.63 1.68
14. When you are celebrating promotion with family 2.88 1.82
15. When you are late to work and lock keys in car 4.44 2.14
16. Self-report of number of sarcastic comments made each week 22.22 38.09
(range= 0-300)
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Table 2Regression Analysis for Effects of Machiavellianism, Self-Monitoring, and Emotional Expressivity on Sarcasm Use
Variable B SEB t
MachiavellianismNegative Tactics .24 .10 2.31*Positive Tactics .07 .08 .81Negative View .11 .08 1.66Positive View .27 .07 3.54**
Self-MonitoringPerformance .14 .06 2.10*Sensitivity -.02 .08 -.23
Emotional ExpressivityPositive .12 .10 1.26Negative .00 .07 .02Impulse Control -.10 .07 .02
Analysis of Variance
Source SS DF MS FRegression 59.08 9 6.56 6.73**Residual 156.07 160 .97Total 215.16 169 1.27
R² = .26
* p< .05, ** p < .01
22