Sex Roles (2007) 57:101–109
DOI 10.1007/s11199-007-9221-5
ORIGINAL ARTICLE
Sex Differences in Self-reported Infidelity and its Correlates
Rebecca J. Brand & Charlotte M. Markey & Ana Mills &
Sara D. Hodges
Published online: 24 May 2007
# Springer Science + Business Media, LLC 2007
Abstract We examined sex differences in the prevalence,
incidence, reasons for, and consequences of infidelity.
Participants (Study 1, 543 undergraduates in the Northwestern US; Study 2, 313 undergraduates and 233
community members in the Mid-Atlantic US), reported on
infidelity by questionnaire. Using a broad definition of
cheating, women reported being as unfaithful or more
unfaithful than men. Men were more suspicious about
cheating and more likely to discover the cheating than
women. Women were more likely to break up with their
partners, to begin new relationships after cheating, and to
report reasons for cheating that may indicate a desire to
switch long-term mates, such as being unhappy in the
current relationship. Results are discussed in the context of
evolutionary theory.
Keywords Sex differences in infidelity .
Correlates of infidelity . Evolutionary psychology .
Parental investment theory
R. J. Brand : A. Mills
Villanova University,
Villanova, PA, USA
C. M. Markey
Rutgers University,
Camden, NJ, USA
S. D. Hodges
University of Oregon,
Eugene, OR, USA
R. J. Brand (*)
Department of Psychology, Villanova University,
800 Lancaster Ave.,
Villanova, PA 19085, USA
e-mail: Rebecca.brand@villanova.edu
Infidelity or “cheating” in romantic relationships has devastating consequences. Having been cheated on can result in
anguish, depression, fury, and humiliation (Buunk and van
Driel 1989; Daly and Wilson 1988; Lawson and Samson
1988) and is associated with major depression and anxiety
(Cano and Leary 2000). Infidelity (real or suspected) is the
leading cause of divorce (Betzig 1989) and of wife-battering
and wife-killing (Daly and Wilson 1988). Further, it is
considered one of the most challenging issues to treat in
couples’ therapy (Whisman et al. 1997). Yet, as noted in
several recent papers (Blow and Hartnett 2005; Wiederman
1997; Wiederman and Hurd 1999), the research literature on
infidelity does not provide adequate information about
individuals’ reasons for infidelity and its impact on the
primary relationship. Evolutionary theory, in particular,
Parental Investment Theory (Trivers 1972), suggests reasons
for sex differences in the occurrence of infidelity, as well as
the motivations for and the consequences of cheating. In the
current study, we explore these potential sex differences by
asking participants who have cheated to report on the
surrounding circumstances via anonymous questionnaire.
One robust finding in the literature is that of a sex
difference in infidelity: men appear to engage in infidelity
more often than women across cultures (e.g. Greeley 1994;
Wiederman 1997). However, this sex difference seems to
be attenuated when infidelity is defined as encompassing a
variety of behaviors rather than just intercourse, particularly
in younger cohorts (Drigotas et al. 1999; Oliver and Hyde
1993; Wiederman 1997). To better understand infidelity in
the contemporary adult population, it is important to reexamine this sex difference. Further, despite findings for
sex differences in incidence and/or prevalence, we know
surprisingly little about sex differences in the sequelae of
cheating and sex differences in individuals’ reasons for
cheating.
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Thus, in the current study, we have two main goals. The
first goal is to re-explore sex differences in infidelity, using
a broad definition of cheating and a contemporary sample
of adults. The second goal is to learn more about sex
differences in the correlates of cheating. In Study 1, we
focus on the means of discovery of cheating and its impact
on the primary relationship. In Study 2, we explore
questions regarding individuals’ reasons for having
cheated. In both studies, we use anonymous self-report
questionnaires to ask about participants’ own instances of
infidelity and their own and their partners’ responses.
Sex Roles (2007) 57:101–109
likely to be beneficial to unfaithful women. Also, the
context seen as most likely to induce an affair in women
was finding out that their current partner was having an
affair. From these results, the authors concluded that the
best-supported of all of the hypotheses was mate-switching.
On the whole, PIT and related aspects of evolutionary
theory may help to make sense of sex differences in the
incidence, prevalence, and correlates (causes and consequences) of infidelity.
Sex Differences in Incidence and Prevalence of Infidelity
Infidelity and Evolution
Past research suggests that sex differences in sexual
behavior can be better understood in the context of
evolutionary theory (Bjorklund and Shackleford 1999;
Buss 1995; Buss and Schmitt 1993; Kenrick et al. 1990).
One particularly informative theory with regard to sex
differences is Parental Investment Theory (PIT; Trivers
1972). This theory trades on the fact that women and men
have different levels of obligatory investment in their
offspring. Historically, women were obligated to invest a
year or more of pregnancy and lactation for there to be any
hope of the child surviving; while males can, but need not,
invest more than the act of sex. Because of these different
levels of minimal investment, men’s and women’s mating
behaviors will differ in many ways. PIT argues that because
a strategy of quantity over quality can be effective when
obligatory investment is low, the lesser-investing sex (in
humans, men) is more likely than the greater-investing sex
(women) to engage in short-term mating with multiple
partners. On the other hand, for the greater-investing sex,
for which every healthy offspring requires a bare minimum
of 9 months gestation, a quality over quantity strategy is
more likely to emerge. A high-quality mate, in this context,
is one likely to provide potential offspring both with
healthy genes and with many years of protection and
resources. Thus, it is unlikely that women use infidelity as a
means of securing many short-term partners.
However, women do engage in infidelity (Blow and
Hartnett 2005; Wiederman and Hurd 1999), likely deriving
benefits that are different than those for men. One reason
women may pursue infidelity is to mate-switch: to find a
replacement partner without first giving up the security and
protection derived from the current mate (Symons 1979).
Greiling and Buss (2000) evaluated several possible
hypotheses to explain female infidelity by asking individuals to rate the perceived benefits of a number of mating
behaviors. Participants reported that benefits related to
mate-switching, such as finding a more desirable partner,
were both likely to be accrued by unfaithful women and
One of the most common findings in infidelity research is
that males commit more acts of infidelity. These sex
differences apply to the prevalence of infidelity (the
number of individuals who report having cheated), and
although studied less exhaustively, the incidence of infidelity (the number of cheating liaisons in which an individual
engages). These sex differences appear regardless of the
type of primary relationship (married or dating) and
whether infidelity is measured in terms of what individuals
“want to” do or “have” done (Blow and Hartnett 2005;
Schmitt 2003).
Much of the previous research has focused exclusively
on infidelity involving sexual intercourse (see Blow and
Hartnett 2005), but interest in emotional or non-sexual
infidelity is gaining momentum (Allen et al. 2005; Drigotas
et al. 1999; Glass and Wright 1985; Wiederman and Hurd
1999), especially in the age of internet dating and the
possibility of internet “infidelity” (Underwood and Findlay
2004; Whitty 2003). When definitions of cheating include
non-intercourse behaviors such as kissing or dating, sex
differences appear to be attenuated or disappear (Drigotas
et al. 1999; Glass and Wright 1985; Wiederman and Hurd
1999). These behaviors, which are sexual or romantic in
nature but fall short of intercourse, are still likely damaging
to the relationship and certainly violate many people’s
expectations for their relationships. As evidence for this,
Drigotas et al. (1999) asked college students if emotional
and physical intimacy behaviors, including flirting, sharing
feelings, and kissing, constituted infidelity. Most (76%)
reported that they did. At the same time, non-intercourse
infidelity does not carry any risk of producing offspring,
and thus according to PIT might be less likely to show sex
differences than infidelity involving intercourse. In order to
better understand sex differences in infidelity and its
correlates, it seems important to broaden the definition of
infidelity.
In addition, sex differences in infidelity may be changing
in recent years. Wiederman (1997) for instance, found that
23% of men and 12% of women had had an extramarital
sexual affair. However, when they examined their data
Sex Roles (2007) 57:101–109
separately for participants under the age of 40, the sex
differences in infidelity disappear. Allen et al. (2005; see
also Oliver and Hyde 1993) reviewed several studies
showing a shrinking sex difference in successively younger
cohorts. Therefore, any attempt to understand sex differences in the predictors and consequences of infidelity
requires an up-to-date assessment of incidence and prevalence. Thus, one goal of this study was to examine sex
differences in self-reported cheating, using a definition that
encompasses any romantic and/or sexual involvement,
including behaviors such as kissing, with a sample that
included contemporary young adults.
Sex Differences in Correlates of Infidelity
Despite fairly numerous investigations of sex differences in
infidelity, we know little about sex differences in the
correlates of infidelity. Two aspects of infidelity that might
differ for the two sexes include the manner and rate of
detection. Sex differences in mating strategies (e.g., Trivers
1972) suggest possible differences in the degree to which
the two sexes suspect their partners of cheating, the
likelihood the cheating is discovered, and the manner in
which it is revealed.
Men and women may be in an “arms race” of sorts when
it comes to hiding and detecting infidelity, with each sex
continually evolving better strategies for self-protection.
The dangerous, often fatal consequences for women who
are suspected of infidelity (Daly and Wilson 1988) may
have led them to evolve effective strategies for disguising
extra-pair involvement. Therefore, one might predict that
females would be less likely than males to be discovered
when they have cheated. On the other hand, males face a
considerable risk of cuckolding (investing valuable resources in children who are not their own) if their partners
are unfaithful. This may in fact help to explain males’
potent reactions to partners’ infidelity (Buss et al. 1992;
Wilson and Daly 1992), and may further suggest that males
are likely to detect cheating when it occurs (and also to
suspect it even when it is not occurring). Further, if women
are in fact likely to use infidelity to mate-switch, keeping
the infidelity a secret may not be paramount. Considering
both of these issues, we thought it important to measure
differences in the rates at which men and women eventually
learn about partners’ infidelity, and whether they do so on
their own or by being told by their partners.
The ultimate impact of infidelity on the relationship, i.e.,
whether the couple remains together, may also differ
depending on the cheater’s sex. Whereas men are more
likely to respond to infidelity with violence (e.g., Daly and
Wilson 1988; but see Haden and Hojjat 2006), women are
more likely to respond by distancing themselves from the
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relationship (Jankowiak et al. 2002). In addition, when
Shackelford et al. (2002) asked participants to imagine
scenarios in which they had been cheated on and to
consider their potential responses, they found that men
were more likely than women to endorse terminating a
relationship following a partner’s sexual infidelity. We
expect that individuals who have actually experienced
infidelity will bear out this finding.
Women may also be more likely to terminate a
relationship following their own infidelity, as a way to
“trade up” for a better partner. Greiling and Buss (2000)
addressed this question; however, their research, like many
other valuable studies on infidelity such as those reviewed
above, asked participants to imagine scenarios and make
judgments about possible causes and outcomes. We wanted
to investigate this question directly by asking about actual
instances of infidelity. In Study 1, we asked participants
who had engaged in infidelity how often the infidelity led
to a new relationship with the extra-pair partner, hypothesizing that this would be more common for women. In
Study 2, we asked individuals who had engaged in
infidelity their reasons for doing so.
Predictions
By using a more encompassing definition of infidelity and
by measuring a current young adult sample, we predicted
that the previously reported sex difference would be
attenuated for both prevalence (Hypothesis 1 [H1]) and
incidence [H2] of infidelity. In terms of outcomes in the
relationship after infidelity had occurred, we predicted that
men would show more suspicion regarding infidelity in
their partners [H3], and would be more likely to learn about
infidelity [H4a], both by having it revealed by the cheating
partner [H4b] and by discovering it themselves [H4c]. We
also predicted that relationships were more likely to end
after women’s infidelity than men’s [H5], and that women
would be more likely to start a new relationship with the
extra-pair partner [H6]. Finally, we predicted differences in
the reasons men and women would give for their infidelity;
specifically, we hypothesized that women would be more
likely than men to endorse reasons related to mate-switching while men would be more likely to endorse reasons
relating to variety-seeking [H7]. In Study 1, we focus on
the outcomes in the relationship: suspicion; rate and
methods of discovery of the cheating; rate of termination
of the primary relationship; and rate of initiation of a new
relationship with the extra-pair partner [H1-6]. In Study 2,
we broaden our participant range, in terms of age and ethnic
diversity, and we ask an additional question about the
reasons for the infidelity [H7].
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Study 1
Method
Participants
Five hundred sixty-one students (391 female; 170 male) at
a large university in the Pacific Northwest comprised the
sample. While ethnicity information was not collected, the
student population at the time was approximately 87%
Caucasian, 6% Asian or Pacific Islander, 3% Hispanic, 2%
African American, 1% Native American, and 1% multiethnic or unknown http://diversity.uoregon.edu/stats.htm).
Participants received partial course credit for participating.
In the second of two data collection sessions (n=304), we
queried marital status, age, and sexual orientation. Two
were married, two were divorced, and one was widowed;
the rest (99.0%) reported being never-married. Eighteen
reported being homosexual, bisexual, unsure, or other; the
rest (94%) reported being heterosexual. A comparison of
the Study 1 session 2 data with and without nonheterosexual participants revealed that inclusion of nonheterosexual participants did not change any of the
findings. Therefore, we decided to retain responses from
non-heterosexual participants. Ages ranged from 17 to 36;
the average age was 19 (SD=2.37).
Sex Roles (2007) 57:101–109
original relationship ending; and the number of times the
infidelity led to a new relationship with the individual with
which the participant had cheated (the extra-pair partner, or
EPP). The complete questionnaires used in Studies 1 and 2
are available on request from the first author. Responses
regarding the discovery and outcomes were then divided by
the number of episodes, to create a proportion of cheating
episodes in which each relevant event occurred.
Procedure
Participants filled out questionnaires in large groups (approximately 300 students). Upon arrival, participants were handed
a packet of questionnaires and were seated in an auditoriumstyle classroom. Participants were informed that all information collected was confidential and that completing the
questionnaires constituted consent to participate. Unlike other
portions of the packet, the portion corresponding to this study
was marked with instructions not to include an assigned
subject number, so that this study was completely anonymous. Participants were told that the different questionnaire
segments would be retrieved by different research labs, so
even if they provided identifying information somewhere in
the packet, it could not be matched up to information they
provided in the cheating questionnaire.
Measures
Results and Discussion
Participants received a packet of questionnaires, containing
measures from a number of different research labs. The
section of the packet relevant to this study contained
demographics questions, followed by eight questions regarding infidelity, or “cheating” in romantic relationships.
For the purposes of this study, cheating was defined as
“any form of romantic and/or sexual involvement, short or
long-term, including kissing, while the individual is in a
relationship with another person. A cheating episode is
defined as each different time an individual becomes
involved with someone else. An episode can be an ongoing affair or a one-night stand. Cheating on a partner with
one person multiple times will count as a single episode.
Cheating on two different partners with the same person
will count as two episodes.”
Participants who said they had cheated were then asked a
number of follow-up questions. First they answered how
many cheating episodes they had had. Next, they were
asked to report the number of episodes in which the partner
was suspicious of the infidelity; the number of times the
partner found out about the infidelity; the number of times
the partner found out because the participant told the
partner; the number of times the partner found out on his or
her own; the number of times the infidelity led to the
Of the 561 participants, 157 reported having cheated, 383
reported never having cheated, and 21 failed to answer any
infidelity questions. Of those who said they had cheated,
the number of episodes ranged from 1 to 40, M=2.65, SD=
3.85, Median=2. As is often found in sex research, some
participants reported extreme values for cheating behaviors.
To ensure that our findings were not driven by the presence
of outliers in the data, all analyses were repeated removing
any outliers (+/− 3 SD). All findings were the same. (This
is despite the fact that all the outliers were men, which is
reflected in the dissimilar variances on most measures.) For
the remaining comparisons, we excluded the 21 participants
who did not answer any infidelity questions, leaving a
sample of 540 (373 women; 167 men).
To address the first hypothesis [H1], we examined
whether there was an overall sex difference in the
percentage of men and women reporting having ever
cheated (prevalence). Consistent with our hypothesis, we
did not find men reporting infidelity more than women; in
fact, we found a trend toward more women (31.4%)
reporting infidelity than men (24.0%), Pearson’s chi
square=3.08 p=.08. To address H2, we examined sex
differences in the incidence of infidelity. Also consistent
with our hypothesis, we found no significant difference in
Sex Roles (2007) 57:101–109
incidence; those men who cheated reported an average of
3.79 episodes (SD=6.59), while those women who cheated
reported an average of 2.26 (SD=2.20), independentsamples t=−2.17, ns (all t-tests reported here use Levene’s
correction for unequal variances).
Looking just at the respondents who reported cheating,
we next examined sex differences in the reported consequences of infidelity using independent-samples t-tests.
Recall that these data represent the cheating individuals’
account of relationship events as a proportion of cheating
episodes. We predicted that, relative to women, men would
be more suspicious [H3] and that men would be more likely
to find out about the infidelity [H4a], both by hearing about
it from their partners [H4b] and by discovering it on their
own [H4c]. We found support for all of these hypotheses.
According to the cheating partners’ report, women’s
partners (typically men) (M=.28, SD=.41) were more
likely to be suspicious of the infidelity relative to men’s
partners (typically women) (M=.11, SD=.25), t(153)=3.04,
p=.003 [H3]. Women’s partners were also more likely to
find out about the infidelity (M=.44; SD=.43) than men’s
partners (M=.22, SD=.39), t(73.5)=3.00, p=.004 [H4a].
Examining the two ways of learning about the infidelity,
women’s partners were marginally more likely to find out
because the infidelity was revealed by the cheater (M=.33,
SD=.42) than men’s partners (M=.19, SD=.38), t(61)=
1.79, p=.08 [H4b], and were also more likely to find out by
discovering it on their own (M=.17, SD=.34) than were men’s
partners (M=.05, SD=.18), t(102.5)=2.57, p=.012 [H4c].
Consistent with our hypothesis, women’s relationships
were more likely than men’s to break up after their own
infidelity (M=.35, SD=.42 versus M=.15, SD=.31), t(87.8)=
3.16, p=.002 [H5]. However, we found no support for our
hypothesis that women were more likely to begin a new
relationship with the extra-pair partner, (for women, M=.21,
SD=.35, for men, M=.25, SD=.36), t(111)=−.52, ns [H6].
In sum, Study 1, using a sample of university undergraduates, revealed no sex differences in favor of men
regarding the incidence or prevalence of infidelity. In fact,
we saw a trend that women were more likely to have
committed infidelity. In Study 2, we made four changes to
further explore these non-significant findings. First, we
recruited a more diverse sample in terms of age range and
other demographics, by recruiting nearly half the overall
sample from a non-student community. Second, in order to
examine whether our findings may have been due to the
broader definition of infidelity we used, in Study 2 we
asked each question both about infidelity in any form and
about infidelity that involved sexual intercourse. This
allows us to better compare our findings with those reported
in previous studies. Third, we clarified the definition of
infidelity by adding the following text: “If you are in a
relationship with Chris, but had a one-night stand with
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Alex, then this counts as one cheating episode. If, later in
your relationship with Chris, you have a 2-week affair with
Pat, then this also counts as a single episode. So, in this
scenario, you would have had two cheating episodes.” We
felt that being concrete in our definition would help ensure
that men and women were defining infidelity in the same
way. Finally, although Study 1 results were the same with
and without non-heterosexual subjects included, in Study 2,
to better focus our study on male–female relationships, we
specified that questions were about cheating in heterosexual
relationships, so participants would not include responses
regarding non-heterosexual relationships.
In Study 1, despite roughly equal rates of infidelity
between the sexes, we found striking evidence for sex
differences in the consequences of the infidelity: Women’s
partners were more likely to find out about the infidelity, by
any means, and women were more likely to break up with
their partner after their own fidelity. In Study 2, we wanted
to learn more about these differences, so we expanded our
sample and also asked individuals to tell us their reasons for
cheating when they did so.
Study 2
Method
Participants
Five hundred forty-six people participated in Study 2. Of
these, 313 were students from two universities in the MidAtlantic region (178 female, 135 male); 233 were members
of the surrounding urban and suburban communities (104
female, 129 male). Their age ranged from 17 to 78; the
mean age was 24 (SD=10.28). Eighty-six percent were
never-married; 10% were married; 3% were divorced or
separated; less than 1% were widowed. Ethnicity was
reported as 73% Caucasian, 7% Asian or Pacific Islander,
5% Hispanic, 10% African American, and 4% “other.”
Student participants were recruited through the student
subject pool at their respective universities and received
partial course credit for participating. Community participants were recruited in public places, such as train stations
and coffee shops, by trained research assistants. Community
participants were not compensated for their participation.
Measures
Participants filled out a questionnaire including demographics
and infidelity-related questions. We queried sex, age, marital
status, and ethnicity. In the infidelity questionnaire, we asked
the same questions as in Study 1 regarding incidence,
prevalence, suspicion, discovery, and relationship status.
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However, two answer spaces were provided for questions
related to incidence and prevalence: one for all cheating, and
one for cheating involving sexual intercourse. Finally, we
asked participants why they had cheated on their partner, and
allowed them to select as many options as applied. Possible
answers were: I was unhappy in my relationship; I was bored
in my relationship; an opportunity to cheat on my partner
presented itself, so I went for it; my partner had already
cheated on me; I was attracted to the person I had the cheating
episode with; the person I had the cheating episode with made
me feel attractive; my romantic partner no longer looked
attractive to me; my romantic partner no longer excited me
sexually; the relationship I was in was about to end anyway; I
wanted to end the relationship I was in; there was no real
reason why I cheated on my romantic partner. We also
provided an “other” option (there were no reliable patterns in
these “other” responses).
Procedure
Students were greeted as they arrived at the research
appointment. Students filled out the questionnaires individually or in classrooms in groups of up to four individuals in
which they were sufficiently spaced apart from one another
to allow privacy. Community participants were approached
by researchers and asked if they had a moment to fill out a
short survey on relationships. All participants were
informed that the questionnaire asked some private questions about cheating in relationships and were ensured that
the questionnaire was anonymous. When participants were
finished, they placed their questionnaires in a sealed box
and the researcher answered any questions. In order to
protect anonymity, the data was not extracted from the box
until over 100 surveys had been completed.
Results and Discussion
Of 546 total subjects, 233 reported cheating, 285 reported
never having cheated, and 28 did not answer any cheating
questions. Of those who had cheated, the range of episodes
was 1–100, with a mean of 4.35, SD=9.92, and a median of
2. As in Study 1, analyses in Study 2 were repeated
removing any outliers (+/− 3 SD) and all findings remained
the same.
In order to address H1, we compared the prevalence of
infidelity in men and women. Contrary to previous studies,
but consistent with our hypothesis, we found that more
women than men endorsed cheating by our definition, with
50.6% of women endorsing having cheated and only 39.3%
of men doing so, Pearson’s chi square = 6.65, p=.01. When
examining this question specifically with regard to cheating
involving intercourse, we found no sex difference in
Sex Roles (2007) 57:101–109
prevalence, with 19% of women and 21% of men reporting
intercourse cheating, Pearson’s chi square = .175, ns.
In order to address H2, we compared the incidence of
infidelity for men and women. Contrary to our hypothesis but
consistent with previous research, of those who cheated, men
report more cheating episodes on average (M=6.61, SD=
14.53) than women (2.66, S=2.58), t(101.7)=−2.66, p<.001
[H2] although the median for both groups was 2. Men also
report more episodes of infidelity involving intercourse (M=
3.16, SD=6.58, median 2) than women (M=1.31, SD=1.89,
median 1), t(82.2)=−2.32, p=.023 [H2b].
To address Hypotheses 3–6, we explored the consequences
of infidelity for men versus women. We predicted that, relative
to women, men would be more suspicious [H3] and that men
would be more likely to find out about the infidelity [H4a], both
by hearing about it from their partners [H4b] and by discovering
it on their own [H4c]. Contrary to our hypothesis and to Study
1, we did not find that men were more suspicious [H3] or that
they found out about the cheating more, in general [H4a] or on
their own [H4c]. According to the cheating partner, women’s
partners (M=.47, SD=.04) were equally suspicious as men’s
partners (M=.39, SD=.04), t(220)=1.10, ns [H3], and were as
likely as men’s partners to find out about the cheating (for
men, M=.44, SD=.04; for women, M=.40, SD=.04), t(219)=
1.59, ns [H4a], and to find out by discovering it on their own
(for women’s partners, M=.31, SD=.03; for men’s partners,
M=.28, SD=.03), t(203)=.35, ns [H4c). However, consistent
with Study 1, we found that as a proportion of cheating
episodes, women were more likely to tell on themselves than
men (for women, M=.49, SD=.05; for men, M=.38, SD=.04),
independent samples t(204.5)=2.43, p=.016 [H4b].
Consistent with our hypothesis, we found that women
were marginally more likely to break up with the partner
after they themselves had cheated (32% of episodes
compared to only 22% for men), t(199.8)=1.85, p=.066
[H5]. As predicted, but unlike Study 1, we found that
women were significantly more likely to begin a new
relationship with the extra-pair partner than were men (22
versus 11%), t(133.7)=2.24, p=.027 [H6].
In order to address H7, we also queried those who had
cheated to examine their reasons for infidelity. We predicted
that, relative to men, women would more likely endorse
reasons for cheating that indicated a desire to switch longterm mates. Our findings are consistent with this prediction.
Specifically, two reasons showed significant sex differences:
Women were more likely to report cheating because they
were unhappy in current relationship (53.0%) than men
(28.6%), Pearson’s chi square=11.7, p=.001. In addition,
women were more likely report cheating because they were
made to feel attractive by the extra-pair partner (41.0%)
than men (19.8%), Pearson’s chi square=10.0, p=.002.
Interestingly, we found that the overall profiles of
responses for men and women were fairly similar. Men’s
Sex Roles (2007) 57:101–109
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Table 1 Reasons endorsed for cheating by sex (percent).
Unhappy in current relationshipa
Bored in current relationship
Opportunity presented itself
Partner cheated
Attracted to EPP
EPP made me feel attractivea
Not attracted to partner
Not excited by partner
Relationship ending
Wanted to end relationship
No real reason
Females
Males
54.6
40.2
25.0
14.4
67.0
42.3
14.4
17.5
26.8
22.7
15.5
27.4
42.9
32.1
16.7
66.7
20.2
8.3
13.1
16.7
17.9
16.7
Percents do not sum to 100 because participants could endorse
multiple reasons.
a
Significant sex difference, p<.01
top five reasons, in rank order from most-endorsed to leastendorsed (each endorsed by more than 20% of men), were:
felt attracted to the EPP, was bored in the current
relationship, saw an opportunity and took it, was unhappy
in current relationship, and was made to feel attractive by
the EPP (see Table 1). Women’ top five reasons, in rank
order (each endorsed by more than 25% of women), were:
felt attracted to the EPP, was unhappy in current relationship, was made to feel attractive by the EPP, was bored in
the current relationship, and the relationship was ending
anyway. This suggests that, at least in terms of the available
options in this study, men and women tend to offer similar
justifications for their cheating behavior.
General Discussion
The aims of this research were twofold: to re-explore sex
differences in infidelity taking care to define infidelity to
allow for different “kinds” of infidelity (e.g., kissing versus
sexual intercourse) and to examine correlates of infidelity in
terms of both potential causes and consequences. By
examining two relatively large samples, including both
student and community participants, we are able to reach
some general conclusions which are consistent with the
framework of evolutionary theory.
Our findings regarding the incidence and prevalence of
infidelity among men and women were generally consistent
with our first and second hypotheses [H1 and H2]. Our
findings suggest that, overall, men were not more likely to
cheat on their romantic partners than women. In fact, in
both Study 1 and 2, women appeared to be the more likely
sex to report a higher prevalence of infidelity. Our findings
seem to indicate that past sex differences reported in this
literature may be misleading or outdated. The specific
definitions of cheating used in this research and the
inclusion of non-intercourse behaviors as cheating behaviors may at least partially account for the finding that
women were likely to report infidelity. It is also possible
that we are picking up on a cohort effect. The expression of
female sexuality is increasingly depicted in popular culture
(e.g., television) as appropriate; virginity is not prized as it
once was (Buss et al. 2001; Hoyt and Hudson 1981). Thus,
women may find themselves feeling free to partake in not
only multiple sexual relationships throughout their lifetime,
but perhaps multiple romantic and sexual relationships at
the same time, regardless of their current relationship status.
Although many factors may contribute to this shift in values,
one possible explanation is the rise of divorce in America in
the last 100 years (Pinsof 2002). Some evolutionary theories
predict that unstable childhood circumstances, such as those
brought on by divorce and poverty, influence girls to engage
in more short-term and promiscuous mating strategies
(Chisholm 1999; Draper and Harpending 1982).
Regarding sex differences in incidence, Study 2 (but not
Study 1) revealed that men reported more episodes of
infidelity than women. This finding is consistent with
Parental Investment and related evolutionary theories (Buss
and Schmitt 1993; Trivers 1972). As mentioned in the
Introduction, males may be more likely than females to
choose a quantity over quality strategy. Males also can
(unconsciously, perhaps) choose from several mating
strategies (Gangestad and Simpson 2000). One strategy is
to offer the resource of exclusive investment in one female
(that is, to be monogamous). A different strategy, perhaps
available only to higher-resource or attractive men (Ridley
1993), is to mate widely with many different women, even
when currently engaged in a long-term relationship. While
approximately equal numbers of men and women in our
study appear to be cheating, typically, men who were
unfaithful cheated many times, consistent with a strategy to
“spread their seed.” Those women who were unfaithful,
however, tended to cheat only a few times, which is more
consistent with the possibility that they are cheating in
order to try out or trade up to new partners. This relatively
low number of cheating episodes in women emerged
despite the fact that our measurement of cheating episodes
may have inflated estimates of female cheating relative to
previous studies (see Blow and Hartnett 2005). In particular, while prior research asked individuals for the number
of extra-pair partners, we asked for episodes, defined by a
change in either the primary or secondary partner. This
resulted in a new cheating episode being counted when a
participant returned to the same cheating partner across two
or more long-term relationships. Women seem more likely
to engage in long-term (although adulterous) relationships
while men are more likely to engage in one-night stands
108
(Schmitt 2003). Despite this change in measurement tactic,
we found that men reported more episodes on average, even
though they did not have higher prevalence overall.
Our third and fourth hypotheses [H3 and H4] focused on
potential sex differences in suspicion of infidelity and
discovery of a partner’s infidelity. Results from Study 1 and
2 were not completely consistent, but suggest that men may
be more likely to be suspicious of infidelity (Study 1) and
that women are more likely to tell their partners when they are
unfaithful than are men (both Study 1 and 2). These findings
are consistent with evolutionary explanations suggesting that
it may be adaptive for men to determine if their partner has
been unfaithful so that they do not invest resources in the
relationship and in providing for offspring that may not be
theirs. Further, the fact that women may reveal their infidelity
may be due in part to their interest in terminating the
relationship; it may be adaptive for them to trade-up from
their current partner to a more resourceful partner.
Hypotheses 5, 6 and 7 focused on the consequences of
infidelity and support the notion that men and women may
cheat for different reasons. Consistent with our hypothesis
[H5], women’s relationships were more likely than men’s to
break up after their own infidelity. Further, consistent with
H6 we have some evidence (Study 2) that women may be
more likely to begin a new relationship with their extra-pair
partner than are men. Both of these findings support the
idea that women are cheating to mate-switch. Hypothesis 7
was concerned with examining sex differences in reasons
provided for infidelity. Although men and women reported
many of the same reasons for cheating (that they were
attracted to the extra-pair partner, that they were bored or
unhappy in the current relationship), there were also some
telling differences. One of men’s top-five responses that did
not appear in women’s top-five was that they cheated out of
opportunity. This is consistent with the possibility that at
least some men are pursuing a strategy of quantity, mating
with multiple partners without a lot of regard for quality.
On the other hand, women were significantly more likely
than men to report cheating because they were unhappy in
the current relationship and because they were made to feel
attractive by the extra-pair partner. Both of these reasons
are consistent with women cheating as a way to find a
better, more attentive partner than their current mate.
Limitations
Although studies examining sex differences in correlates of
infidelity are surprisingly scarce, the findings presented
here should be tempered with an understanding of their
limitations. First, this research necessarily relies on selfreport measures. Given the sensitive nature of the topic
under investigation, it is possible that participants were not
completely truthful in their responses. However, given that
Sex Roles (2007) 57:101–109
a more reliable method of querying participants about
infidelity is not available, and that we carefully guarded
participants’ responses in a number of ways to ensure
confidentiality (see Method), we are fairly confident that
self-report biases would not alter these findings in any
consequential way.
Another limitation of the self-report methodology used here
is that participants are being asked to report about their partners’
suspicion and discovery, about which they may not have full,
unbiased knowledge. It may be, for instance, that women
discover their partner’s infidelity at rates that are equal to men,
but for some reason, do not let on to their partners that they have
discovered it. For this reason, methodologies in which both
partners are asked about the same situation would be
particularly valuable, because they allow each partner to
corroborate (or call into question) the other’s version of events.
The findings reported here are correlational in nature;
thus, while they are consistent with causal theories, such as
women cheating because they are unhappy and seeking
better long-term mates, they do not allow us to draw causal
conclusions. Further, while we have no reason to suspect
our participants were actively deceiving us with regard to
their responses, we were asking them to report justifications
for behavior they may feel is wrong. Findings could
potentially reflect differences in the degree to which each
sex makes self-justifications of various sorts (i.e., “I cheated
because I was unhappy in my relationship”) rather than, or
in addition to, true differences in the causes of the behavior.
Prospective, longitudinal studies of dating and marriage
may be the best way to understand the time course of
causes and effects of infidelity.
The present research is also limited in its inability to fully
explore age and cohort in relation to the causes and
consequences of infidelity. Although our samples were
relatively large, the percent of participants who were not
young adults (>30 years old) was relatively small (approximately 7%), making a reasonable comparison of young
adults’ experiences of infidelity and older adults’ experiences
of infidelity impossible.
Conclusions
Popular culture conceptualizes women as loyal, faithful
caretakers of the men in their lives, while men are
conceptualized as creatures with uncontrollable urges that
force them to “sow their seed.” Past research has also
suggested that men are more likely to be unfaithful than
women. However, the present findings suggest that this
notion may be old-fashioned and outdated. Our findings
suggest that women do not appear to be altogether less likely
to be unfaithful than men. Future studies are needed to clarify
whether our inclusive definition of infidelity primarily
Sex Roles (2007) 57:101–109
accounts for these findings, whether women are truly
shifting in their sexual behavior over time, or perhaps both.
Despite equal prevalence of cheating, our findings support
the idea that men and women may cheat for different reasons.
Men who cheat seem likely to be pursuing a quantity-overquality strategy; if they select cheating as a strategy, they may
do so merely out of opportunity, with many different women.
Women, on the other hand, may be using infidelity to mateswitch; rather than cheating indiscriminately with a large
number of men, they may be selective in choosing a better
potential long-term mate, specifically one who will make
them happier than their current partner and will validate their
attractiveness. Thus, while infidelity may have devastating
consequences for both men and women in relationships,
different measures may be effective in preventing men’s and
women’s cheating behaviors and different ramifications may
follow men’s versus women’s acts of infidelity.
Acknowledgments Portions of this work were reported at the
meeting of the Eastern Psychological Association in March, 2006,
and as part of the Master’s thesis of the third author. The authors thank
Larry Sugiyama for helpful suggestions, and Caroline Packard,
Courtney Turner, Colleen Bott, Tanya Fiedler, Brittany Bishop, Sherry
Rieger, Rachel McCartney, Elizabeth Gravallese, and Phaedra Massie
for help with data collection.
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