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8/10/2019 Low Trait Self-Control Predicts Self-Handicapping
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Low Trait Self-Control Predicts Self-Handicapping
Ahmet Uysal1 and C. Raymond Knee2
1Middle East Technical University
2University of Houston
ABSTRACT Past research has shown that self-handicapping stemsfrom uncertainty about ones ability and self-presentational concerns.The present studies suggest that low dispositional self-control is also
associated with self-handicapping. In 3 studies (N= 289), the associationbetween self-control and self-handicapping was tested. Self-control
was operationalized as trait self-control, whereas self-handicapping wasoperationalized as trait self-handicapping in Study 1 (N= 160), self-reported self-handicapping in Study 2 (N= 74), and behavioral self-handicapping in Study 3 (N= 55). In all 3 studies, hierarchical regressionanalyses revealed that low self-control predicts self-handicapping, inde-pendent of self-esteem, self-doubt, social desirability, and gender.
People sometimes do things that will decrease their chances of
success on an upcoming performance. For example, a student mayparty all night before a final exam, or an athlete may decide to
participate in a competition despite an injury. Engaging in behaviors
that create obstacles to successful performance in order to manipu-
late attributions after a performance is defined as self-handicapping
(Jones & Berglas, 1978). According to Berglas and Jones (1978),
self-handicappers aim to manipulate ability attributions based on
attribution principles of discounting and augmentation (Kelley,
1972). That is, if a self-handicapper is unsuccessful, the handicap
accounts for the failure and the attributions to lack of ability arediscounted. On the other hand, if a self-handicapper is successful,
the ability attributions are augmented because the self-handicapper
displayed a good performance in spite of the handicap (Feick &
Rhodewalt, 1997; Tice, 1991).
Correspondence concerning this article should be addressed to Ahmet Uysal,
Middle East Technical University, Department of Psychology, Ankara, 06800 Turkey.
Email: [email protected].
Journal of Personality 80:1, February 2012 2012 The AuthorsJournal of Personality 2012, Wiley Periodicals, Inc.DOI: 10.1111/j.1467-6494.2011.00715.x
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2005). Hence, self-handicaps have short-term benefits over long-term
costs, just like many other behaviors resulting from low self-control.
Self-Handicaps Are Tempting
The qualitative study of Martin and colleagues (Martin, Marsh,
Williamson, & Debus, 2003) provides indirect evidence for the idea
that self-handicapping behaviors are tempting to self-handicappers.
In that study, researchers interviewed both high and low self-
handicapping students and asked them about their study habits.
Following are some quotations from interviews with high self-
handicapping students (Martin et al., 2003). Italics are added to
emphasize temptation- or self-control-related aspects. One student
said (Martin et al., 2003),
Its just like if I have an assignment due, say its due on Monday
and its the weekend,I seem to just want to watch TV or go out. Its
just something that happens.You know youve got to do something
but you get off track and go somewhere. (p. 620, italics added)
A second student said, Pointless time wasting? Yeah. Ill say, Ivegot study to do, well I really need to clean my wardrobe (p. 620,
italics added). And a third student who leaves studying to the last
minute said thatshe would promise herself not to do this in the future,
but each time an exam or assignment approached, she seemed to do
the same, no matter how hard she tries.
The words of these high self-handicapping students suggest that
they felt a temptation to do something else rather than study and
failed to resist the temptation. Moreover, the distracting activitydoes not have to be a fun activity to be tempting, as can be seen
from the second students words that even cleaning the wardrobe
can become an urge for a self-handicapper. This means that self-
handicappers feel tempted to self-handicap regardless of the hedonic
value of the self-handicapping behavior. It should also be empha-
sized that these students who reported succumbing to such tempta-
tions were the ones who were categorized as high self-handicappers
before the interview. On the other hand, low self-handicappers also
reported similar distractions, but they took measures to eliminate
them, such as going to the library instead of studying at home or
declining invitations to parties (Martin et al., 2003).
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The Present Studies
The present studies are designed to test the basic association
between trait self-control and self-handicapping. However, itshould be noted that there are different forms of self-handicapping.
Self-handicaps can be considered under two categories, namely,
behavioral handicaps and self-reported handicaps (Leary &
Shepperd, 1986). Behavioral handicaps refer to actual behaviors
that would impede a performance (e.g., a student partying all night
before an important exam). Self-reported handicaps, on the other
hand, refer to claims of handicaps before a performance (e.g.,
Im not feeling well today). Finally, trait self-handicapping as
measured by the Self-Handicapping Scale (Jones & Rhodewalt,
1982; Rhodewalt, 1990) can also be considered as a separate
form of self-handicapping that reflects more habitual or chronic
self-handicapping. Although all of these categories capture
self-handicapping, they are not perfectly correlated. In fact, the
correlations between different forms of self-handicapping range
from low to moderate at best. Thus, it is important to assess
self-handicapping in different ways to test the idea that low trait
self-control predicts self-handicapping.In three studies, we tested whether trait self-control predicts
self-handicapping, controlling for potential confounds. In all
studies, self-control was operationalized as trait self-control, which
was measured by the Self-Control Scale (Tangney et al., 2004).
On the other hand, self-handicapping was operationalized as trait
self-handicapping in the first study, self-reported self-handicapping
in the second study, and behavioral self-handicapping in the third
study. Furthermore, several potential confounds were included ascovariates in each study. As stated before, one major antecedent
of self-handicapping is uncertainty about ones ability. Accord-
ingly, we controlled for feelings of self-doubt. Second, past research
shows that self-esteem is negatively correlated with the Self-
Handicapping Scale (see Rhodewalt, 1990, for a review) and social
desirability is positively correlated with the Self-Control Scale
(Tangney et al., 2004); thus, we also controlled for both self-esteem
and social desirability. Last, some studies have found gender dif-
ferences in self-handicapping (e.g., Hirt, Deppe, & Gordon, 1991;
Hirt, McCrea, & Boris, 2003), so gender was also included as a
covariate.
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STUDY 1
In Study 1, we investigated the basic association between self-report
measures of self-control and self-handicapping. A cross-sectional
survey design was employed. Participants completed a questionnairepacket containing the Self-Handicapping Scale (Rhodewalt, 1990)
and the Self-Control Scale (Tangney et al., 2004), along with other
measures.
Method
Participants
One hundred sixty undergraduates (128 female, 24 male, 8 did not reportgender) participated in the study. Mean age was 23.5 (SD= 6.3), and thesample was ethnically diverse (30% White/Caucasian, 22% Asian, 18%
African American, 18% Hispanic, and 12% other).
Procedure
Participants completed a questionnaire packet that contained measures of
self-esteem, self-control, self-handicapping, self-doubt, and social desir-
ability. Participants received extra credit upon completing the packet.
Measures
Self-esteem. Self-esteem was measured by the Rosenberg Self-Esteem
Scale (Rosenberg, 1965). Internal reliability (Cronbachs alpha) was .90.
Self-control. Self-control was measured by the 36-item Self-Control
Scale (Tangney et al., 2004). The items (e.g., I am good at resisting
temptation) were rated on a 1 (strongly disagree) to 5 (strongly agree)
scale. The scale has demonstrated good convergent and divergent validity
(Tangney et al., 2004). Internal reliability was .87.
Self-handicapping. Self-handicapping was measured by the short version
of the Self-Handicapping Scale (Rhodewalt, 1990). The scale consists of
14 items (e.g., I would do a lot better if I tried harder) rated on a 1
(disagree very much) to 6 (agree very much) scale. Research has shown that
the scale is internally consistent and has good predictive validity (Rhode-
walt, 1990; Strube, 1986). Internal reliability was .75.
Self-doubt. Self-doubt was measured by the 17-item Subjective Over-
achievement Scale (Oleson, Poehlmann, Yost, Lynch, & Arkin, 2000). The
Uysal & Knee64
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scale consists of nine items measuring concern with performance (e.g.,
It is important that I succeed in all that I do) and eight items measuring
self-doubt (e.g., More often than not I feel unsure of my abilities). The
items are rated on a 1 (disagree very much) to 6 (agree very much) scale.
The scale has shown good convergent and divergent validity (Oleson
et al., 2000). Internal reliability of the Self-Doubt subscale was .75.
Social desirability. Social desirability was measured by the Marlowe-
Crowne Social Desirability Scale (Crowne & Marlowe, 1960). The scale
consists of 33 true-false items that assess socially desirable responding.
Internal reliability was .77.
Results and Discussion
Table 1 provides means, standard deviations, and zero-order corre-
lations among variables. Gender did not significantly correlate with
any of the variables. A hierarchical multiple regression analysis
was conducted with self-handicapping as the criterion variable. In
the first step, self-control was entered. In the second step, self-esteem,
self-doubt, and social desirability were entered as control variables.
The expectation-maximization (EM) method was used to estimate
four missing values in self-esteem and social desirability scores.The standardized regression coefficients for each step are
presented in Table 2. In the first step, self-control had a significant
negative association with self-handicapping (b = -.67, p
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F(1, 158)= 129.35,p
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completed a checklist, which included several excuses that can poten-
tially affect their performance, immediately before an actual exam.
Participants
Seventy-four undergraduates (61 female, 13 male) participated in the
study. The mean age was 21 (SD= 4.1). The sample was ethnicallydiverse (35% Asian, 22% White/Caucasian, 18% African American, 18%
Hispanic, and 7% other).
Procedure
Participants were recruited from introductory psychology classes. They
were asked to complete a questionnaire packet 1 week before their secondor third exam. The packet contained the same measures as in Study 1. On
the exam day, immediately before the exam, participants were handed a
checklist of factors that might impede their performance on the exam. The
instructions stated, Below is a list of circumstances that can prevent
you from displaying your normal performance in the test. Please indicate
the ones that apply to your situation. You can choose more than one
if applicable. The checklist (Strube, 1986) included 12 excuses for poor
performance (e.g., lack of sleep, studied wrong material, sickness)
that have been demonstrated to be valid self-reported measures of self-handicapping in academic settings (Feick & Rhodewalt, 1997; Rhodewalt
& Hill, 1995; Strube, 1986). Students used participant codes to keep the
measures anonymous, and they were debriefed in the following classes.
Results and Discussion
Self-handicapping was scored by counting the number of handicaps
reported by each participant. Table 3 provides means, standard
deviations, and zero-order correlations among variables. Malesreported higher self-control (M= 3.36) than females (M= 3.06),t(72)= -2.23, p
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to self-handicapping (b = -.37, p
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handicapping. The interaction effect did not explain any variance
after controlling for gender and self-control, F(1, 70)= .83,p= .37.Study 2 replicated the findings of Study 1 with a state measure of
self-handicapping, which was also assessed separately (i.e., after 1week) from the trait measures. It was found that students who were
low on self-control were more likely to report handicaps before an
actual exam, again controlling for self-esteem, self-doubt, and social
desirability. It is also important to note that the findings were repli-
cated in a real-life situation, providing stronger support and more
validity for the link between self-control and self-handicapping.
One shortcoming of the study was the self-reported nature
of the self-handicapping measure. Although the items in the self-
handicapping checklist involved actual behaviors (e.g., other com-
mitments that prevented sufficient study time, missed an important
lecture, lack of sleep, did not keep up with the material, studied
wrong material), these behaviors were not observed. We did not
know whether the claims were true or not, or whether they were
caused by the self-handicapper. To address this issue, we used an
observable measure of self-handicapping in Study 3. We tested
whether the findings of the first two studies would be replicated
with a behavioral measure of self-handicapping in a different setting.Additionally, we also explored whether manipulating state self-
control using the regulatory depletion paradigm (Muraven, Tice,
& Baumeister, 1998) would affect self-handicapping.
STUDY 3
Method
Study 3 involved a behavioral operationalization of self-
handicapping in a laboratory setting. Students initially completed a
fake cognitive ability test. After receiving noncontingent success
feedback, they were allowed to choose their distraction level before
taking the second part of the cognitive ability test.
Participants
Fifty-five undergraduate students (47 female, 8 male) participated in thestudy. Mean age was 24.3 (SD= 7.2), and the sample was ethnicallydiverse (35% African American, 24% Asian, 14% White/Caucasian, 14%
Hispanic, and 13% other).
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during subsequent efforts just like an exhausted muscle (Muraven et al.,
1998). In other words, participants in the experimental condition were put
in a state of low self-control. After 5 minutes, the experimenter entered the
room and provided the participants with a manipulation check question-
naire, which included cover items to rate the woman on the video clip, as
well as the PANAS (Watson, Clark, & Tellegen, 1988) to assess mood.
The experimenter also explained that each participants answers were
entered into the computer, which ostensibly provided a percentile estimate
of the score based on the sample items. In fact, the experimenter printed
a test score sheet while the participant was watching the video clip. The
score sheet had a fake ID number, date and time of day, a watermark for
a fake testing company (Pearson Testing and Measurement Inc.), and
an estimated percentile rank. Every participant received success feedback,
and his or her percentile rank was printed as 90. The experimenter handed
the score sheet to the participant and congratulated him or her, stating
that the participant did better than 90% of the population.
Given that it was impossible to solve the test in 15 minutes, the success
feedback was noncontingent (i.e., participants were not sure how they had
performed so well). This kind of feedback induces self-doubt, which leads
to self-handicapping (Berglas & Jones, 1978; Rhodewalt, Morf, Hazlett, &
Fairfield, 1991). After receiving noncontingent success feedback, the par-
ticipants were given the opportunity to self-handicap. They were told that
they were going to take the second test, which contained another sample
of 10 items with the same level of difficulty. However, this time they were
going to take the test while listening to background noise. They were told
that five different types of distracting noise were recorded on CDs to
simulate noisy environments. The experimenter also explained that the
noises did not differ in volume or loudness and that they were just differ-
ent types of noise. The CDs were labeled in a Likert-type way from 1( not
distracting at all) to 5 (extremely distracting). Participants were asked to
select the CD they wanted to have playing in the background. After the
participants made their choice, the session ended, a manipulation check
questionnaire was completed, and participants were probed for suspicion
and debriefed.
Results and Discussion
Manipulation Check
The first manipulation check questionnaire was completed after the
regulatory depletion task. It assessed the experimental condition, the
mood of the participants, as well as the difficulty of the attention
control task. Four participants in the control condition failed to
correctly report the condition to which they were assigned and were
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dropped from the analyses. The groups did not differ significantly
on mood scores, t(49)= -1.42, ns. Finally, one item assessed thedifficulty of the attention control task (1 = not difficult at all, 10=
extremely difficult). As expected, the experimental condition task wassignificantly more difficult (M= 4.31, SD= 2.52) than the controlcondition task (M= 1.64, SD= .95; t(49)= -4.71, p
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step, only self-control was negatively related to self-handicapping
(b = -.34, p
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who were low on trait self-control were more likely to self-handicap
behaviorally, controlling for self-esteem, self-doubt, and social desir-
ability. In contrast to the field setting of Study 2, self-handicapping
was measured in a laboratory setting, using a method that is wellvalidated and has been utilized in several self-handicapping studies
(e.g., Rhodewalt et al., 1991; Tice, 1991). The findings were still
similar, providing more support for the association between self-
control and self-handicapping.
It is also important to note that depleting regulatory resources
had no effect on self-handicapping behavior. This might be due to
the fact that depleting participants regulatory resources leads to a
momentary state of low self-control; however, in the previous studies
the effects were observed for low trait self-control. Previously, we
suggested that people who are low on trait self-control might be
learning to use self-handicapping as a strategy over time. Hence,
reducing self-control momentarily might not be sufficient to induce
self-handicapping behaviors.
GENERAL DISCUSSION
Our aim in this article was to lay the groundwork for the associationbetween trait self-control and self-handicapping. Although past
research has shown that self-protection, self-enhancement, and self-
presentation motives play a role in self-handicapping, we are not
aware of any studies that suggest low self-control as an antecedent
of self-handicapping. Consequently, we aimed to establish the basic
link between low self-control and self-handicapping.
In doing so, three studies were conducted with three different
operationalizations of self-handicapping, namely, trait self-handicapping, self-reported self-handicapping, and behavioral self-
handicapping. It was found that low self-control explains a significant
amount of variance in self-handicapping, independent of the associa-
tions with self-esteem, self-doubt, and social desirability. The finding
that self-control predicted self-reported self-handicapping in a class-
room setting and behavioral self-handicapping in a laboratory setting
further strengthens our argument.
The present studies are unique in several ways. First, they provide
the initial evidence for the association between trait self-control and
self-handicapping. By linking self-handicapping to self-control, they
open new possibilities for future research that could further our
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understanding of self-handicapping. Second, they utilize multiple
methods (i.e., a survey study, a field study, and a laboratory study)
and multiple measures of self-handicapping. The replicated findings
provide strong support for the hypothesized link between the twoconstructs. Third, in a broader sense, they also suggest that self-
control might play a role in defensive or strategic behaviors aimed at
protecting or enhancing the self. Self-handicapping is one example of
defensive behaviors, so future studies can extend these findings to
other defensive or self-serving behaviors. Last, they also contribute
to the predictive validity of the Self-Control Scale by demonstrating
the link between the Self-Control Scale and behavioral measures of
self-handicapping.
Future studies can examine the specific mechanisms for how
low self-control predicts self-handicapping. Some of these potential
mechanisms were suggested in the introduction. First, it could be
that low self-control individuals might be learning to utilize their
behaviors resulting from self-control failure as a self-handicapping
strategy. Self-handicapping is a learned behavior, such that creating
excuses before a performance in order to discount failure does not
even occur to some people. However, people might recognize the
strategic aspect of these behaviors in time. For instance, a low self-control student who spends a lot of time on the Internet would
realize that it provides an excuse for his or her poor academic per-
formance. That way, the student keeps engaging in the tempting
activity (spending time on the Internet) and also discounts negative
ability attributions (I did not do well on the exam because I spent a
lot of time on the Internet. It is not because of my ability). Further-
more, after several occasions of using it as an excuse after a perfor-
mance, it might occur to the student that he or she can also use itstrategically before a performance. Then the student would begin
spending more time on the Internet before exams for no apparent
reason, eventually becoming a chronic self-handicapper. Second,
self-handicapping can be considered a self-regulation failure. It is
beneficial in the short term because it protects or enhances self-
esteem, but it is self-defeating in the long term because it negatively
affects performance and eventually self-esteem. It was suggested that
low self-control people are more likely to fail at self-regulation and
prefer immediate gratification strategies in exchange for long-term
costs; hence, they are also more likely to become self-handicappers.
However, these ideas need to be tested in longitudinal studies.
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In the past, researchers argued that self-enhancement requires
minimal cognitive effort, whereas self-presentation requires cogni-
tive resources (Swann 1990; Swann & Schroeder, 1995). In fact,
recent research has shown that non-self-serving attributions werepreceded by enhanced dorsomedial frontal cortex activity, suggest-
ing that unbiased attributions require greater self-control to override
the automatic tendency to self-enhance (Krusemark, Campbell, &
Klementz, 2008). Our findings were in line with this idea. However,
it should be noted that self-handicapping can be motivated by
impression management concerns, as well as self-serving concerns.
It would be important to delineate the role of self-control in those
instances. For example, research has shown that depleting regulatory
resources impairs strategic self-presentation (Vohs et al., 2005). That
is, people fail at strategic or planned self-presentation in a state of
low self-control. Whether this finding also holds true for planned
self-handicapping can be investigated in future studies. It might be
that when people self-handicap strategically for self-presentational
purposes, people who are low on self-control would be less likely to
have the resources for impression management and less likely to
self-handicap.
One limitation of the present studies is that they have cross-sectional designs and thus the causal direction from self-control to
self-handicapping is theoretical. Based on preliminary evidence, it
was theorized that self-control would predict self-handicapping, but
it might also be that self-handicappers are reporting low self-control
as a way of self-handicapping. However, using different operation-
alizations of self-handicapping in Study 2 and Study 3 still revealed
the same findings. Although we used a valid measure of trait
self-control that has been shown to predict different self-controlbehaviors (Schmeichel & Zell, 2007), unfortunately we did not
have different measures of self-control. Future studies can replicate
the findings using behavioral or other self-report measures of self-
control in longitudinal designs.
Similarly, in future studies state self-control can also be mani-
pulated in different ways. However, state self-control might not be
related to self-handicapping in the same way as trait self-control.
If self-handicapping is a behavior that is learned and acquired in
time by people who are low on trait self-control, manipulating
state self-control might not have the same effect. Our exploratory
manipulation in Study 3 using the regulatory resource paradigm
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(Muraven et al., 1998) did not reveal any effects; however, further
studies are required before drawing conclusions about the role of
state self-control.
Another limitation of the studies is the limited external validitybecause the student sample consisted mostly of females. Although
we did not find any gender differences (except for self-control in
Study 2), one needs to be cautious before drawing conclusions
because of our small number of male participants. Future studies
can test these findings with a sample of males or with samples from
different settings.
CONCLUSION
The present research offers a clear demonstration of the association
between self-control and self-handicapping. It suggests that people
who are low on trait self-control are more likely to self-handicap.
In addition to feeling uncertain about ones abilities, having
low dispositional self-control appears to be another antecedent of
self-handicapping. Consequently, improving self-control might be
one way of reducing self-handicapping, which is a maladaptive, self-
defeating behavior with short-term benefits and long-term costs.
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