Personality and Social Psychology
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Self-Structure and Self-Esteem Stability: The Hidden Vulnerability of Compartmentalization
Virgil Zeigler-Hill and Carolin J. Showers
Pers Soc Psychol Bull 2007; 33; 143
DOI: 10.1177/0146167206294872
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Self-Structure and Self-Esteem Stability:
The Hidden Vulnerability of
Compartmentalization
Virgil Zeigler-Hill
University of Southern Mississippi
Carolin J. Showers
University of Oklahoma
The present studies examined the association between
self-concept structure and stability of self-esteem. In two
daily diary studies, evaluative integration (organizing
positively and negatively valenced self-beliefs into the
same self-aspects) was associated with more stable selfesteem than evaluative compartmentalization (organizing positively and negatively valenced self-beliefs into
separate self-aspects) among individuals with generally
high self-esteem. Moreover, analyses of self-esteem reactivity confirmed that the sensitivity of state self-esteem to
daily events was greater for compartmentalized individuals than for individuals with relatively integrative
self-concept structures. Compartmentalization also was
associated with greater sensitivity to experiences of social
rejection in the laboratory, consistent with the view that
integration affords greater stability of self-evaluations.
These results suggest that some of the benefits believed
to be associated with compartmentalization (such as high
self-esteem) may have hidden costs that have not previously been considered.
Keywords:
S
compartmentalization; evaluative organization;
self; self-concept; self-esteem; self-esteem stability
ocial psychological approaches to the self have traditionally focused on self-esteem as a unidimensional
index of self-concept (e.g., Rosenberg, 1965). However,
recent approaches to the self have taken a more
complex and multifaceted view (e.g., Markus & Wurf,
1987). For example, research on structural features of
the self has emphasized that it is not just the content of
self-beliefs that matters for an individual’s functioning
but also moderating features of self-organization such
as compartmentalization and integration (Showers, 1992),
self-concept clarity (Campbell, 1990), or differential
importance (Pelham & Swann, 1989). Another recent
set of approaches to the self highlights the possibility
that some individuals who appear to hold very positive
self-views actually have quite fragile selves. This idea
emerges, for instance, from work on the strategy of selfhandicapping (Berglas & Jones, 1978) or the narcissistic personality (e.g., Morf & Rhodewalt, 2001).
The present studies examine possible associations
between self-structure and self-esteem stability. Just as
research on structural features of the self moved models
of the self-concept away from primarily emphasizing
content, a focus on self-structure also may help to
explain the issues of stability and resilience (Showers &
Zeigler-Hill, 2003). If structural features of the self can
moderate the impact of negative content in the selfconcept, they may act as buffers for daily life events,
Authors’ Note: Portions of this research are taken from the first
author’s doctoral dissertation. The data were collected at the University of Oklahoma under the supervision of the second author.
Correspondence concerning this article should be addressed to Virgil
Zeigler-Hill, Department of Psychology, University of Southern
Mississippi, Hattiesburg, MS 39406; e-mail:
[email protected].
Editor’s Note: Dr. James A. Shepperd served as guest action editor for
this article.
PSPB, Vol. 33 No. 2, February 2007 143-159
DOI: 10.1177/0146167206294872
© 2007 by the Society for Personality and Social Psychology, Inc.
143
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PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN
thereby stabilizing self-esteem. In particular, the compartmentalization model of self-structure makes clear
predictions for day-to-day stability in response to life
events, even though previous research has emphasized
global correlations between self-concept structure and
self-esteem or mood (e.g., Showers, 1992, 1995).
Self-Esteem Stability
Although the vast majority of self-esteem research has
focused on level of self-esteem (i.e., relatively enduring
favorable or unfavorable attitudes toward the self), it has
not gone unrecognized that self-esteem may change over
time. The term self-esteem instability describes short-term
fluctuations in self-esteem, often conceptualized as the
magnitude of change in state self-esteem over time (Kernis,
Grannemann, & Barclay, 1989). The tendency to experience these short-term fluctuations in self-esteem has been
described as a dispositional characteristic that interacts
with the immediate environment to produce a specific
pattern of fluctuations (Kernis, 2003). Previous research
has found that individuals with unstable high self-esteem
are characterized by anger and hostility (Kernis et al.,
1989), engagement in self-protective and self-enhancing
strategies (Kernis, Cornell, Sun, Berry, & Harlow, 1993;
Newman & Wadas, 1997), and responsivity to success
and failure (Kernis, Greenier, Herlocker, Whisenhunt, &
Abend, 1997).
Self-Structure: Evaluative
Compartmentalization and Integration
The model of evaluative self-organization focuses on
the distribution of positive and negative beliefs across
multiple self-aspects (Showers, 1992, 2000). Although
individuals typically have self-concepts that are mostly
positive (e.g., Schwartz & Garamoni, 1986), most individuals have at least some important negative beliefs
about the self. Among the models of self-concept structure, evaluative organization is unique in that it accounts
for both the category structure of specific self-beliefs and
the valence of those beliefs (Showers & Zeigler-Hill,
2003).
The model of evaluative organization identifies two
types of self-structure: evaluatively compartmentalized
and evaluatively integrative. In compartmentalized selfconcepts, positive and negative attributes or beliefs are
separated into distinct self-aspects such that each selfaspect contains primarily positive or primarily negative
information about the self. For example, a compartmentalized individual may describe the married self as
devoted, warm, caring, and supportive but may use lazy,
uncoordinated, selfish, and irritable to describe the
basketball player self. In contrast to compartmentalized
self-concepts, the self-aspects of integrative self-structures
contain a mixture of positive and negative self-beliefs.
For example, an integratively organized individual may
describe the school teacher self as humorous, forgetful,
creative, and disorganized. These two types of selfconcepts are typically assessed on a continuum from relatively integrative to relatively compartmentalized.
The basic model of evaluative organization predicts
that for individuals who perceive their positive self-aspects
to be relatively important, compartmentalization will be
associated with higher self-esteem and more positive
mood than will integration (Showers, 1992, 2000). These
individuals are said to be positively compartmentalized.
They are expected to have positive mood and high selfesteem because their negative self-beliefs have been relegated to relatively unimportant self-aspects that are rarely
activated and, therefore, their accessibility is low. However, if a compartmentalized individual’s negative selfaspects or attributes are perceived to be important (i.e.,
negative compartmentalization), negative self-beliefs will
be very accessible, resulting in negative mood and low
self-esteem. When negative self-beliefs are relatively important, individuals with integrative self-concept structures
may more easily maintain positive mood and self-esteem
because their self-structure maintains access to both positive and negative self-beliefs, thereby minimizing the
impact of those negative self-beliefs that are otherwise
unavoidable. Such individuals would be identified as negative integrative (because negative self-beliefs are important); positive integrative structures would be those that
are integrative despite many important positive beliefs.
To summarize the basic model of evaluative organization, when the self-concept is basically positive (i.e., positive attributes or aspects are most important or salient),
compartmentalized structures should be associated with
higher self-esteem and more positive mood than integrative structures. However, when negative aspects or attributes are important, compartmentalized structures should
be associated with lower self-esteem and more negative
mood than integrative structures. These predictions have
been supported by results from a variety of studies showing that the organization of self-beliefs—as measured by
a variety of self-descriptive tasks—is associated with an
individual’s current level of mood or self-esteem (e.g.,
Rhodewalt, Madrian, & Cheney, 1998; Showers, 1992;
Showers, Abramson, & Hogan, 1998).
Although these structures are stable enough to predict
mood effects at least 1 week later (e.g., Showers & Kling,
1996), the dynamic model of self-organization suggests
that these structures can change, especially in response to
life events that may affect the salience of positive or negative beliefs (Showers, 2002). For example, compartmentalized individuals may experience life events that shift
the relative importance of their positive and negative selfaspects (so that they shift from positive compartmentalization to negative compartmentalization, or vice versa).
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Moreover, the dynamic model hypothesizes that individuals may shift from compartmentalization to integration,
either temporarily to handle acute stress or permanently
to handle chronic stress (cf. Showers & Zeigler-Hill, in
press; Showers, Zeigler-Hill, & Limke, 2006). The present studies have 1- to 2-week time frames and so they
treat evaluative organization at Time 1 as a predictor
without assuming that this structure is stable.
Vulnerability of Compartmentalized
Self-Concept Structures
Although the basic model predicts that compartmentalized individuals will have either especially high selfesteem (positively compartmentalized) or especially low
self-esteem (negatively compartmentalized), it also implies
that high and low self-esteem may be observed in alternation within compartmentalized individuals. This is
because compartmentalized self-structures may be vulnerable to shifts in the salience of positive and negative selfaspects, depending on their activation by recent events.
Thus, even though a person with a positively compartmentalized self-structure typically feels quite good, a negative experience may activate a purely negative self-aspect,
flooding the individual with an unfamiliar set of negative
attributes and causing a dramatic shift in state self-esteem.
Similarly, individuals who are typically negatively compartmentalized may experience extremely positive feelings
about the self when a positive event activates a rarely
experienced self-aspect. This vulnerability to shifts in the
salience of particular self-aspects should result in compartmentalized individuals experiencing both higher highs
and lower lows than individuals with integrative selfconcept structures, which may be observed as fluctuations
in state self-esteem (i.e., self-esteem instability).
In contrast, the self-evaluations of individuals with
integrative self-concept structures should show less
variation in response to the activation of specific selfaspects. Thus, integration should buffer responses to
daily events, minimizing fluctuations in state self-esteem.
Although the moderate levels of self-esteem associated
with integrative structures often have been considered
to be a cost of integration (e.g., Showers, Limke, &
Zeigler-Hill, 2004), there may be benefits to having selfesteem that is moderate but stable.
Findings from three different studies are consistent
with the notion that compartmentalized structures may
be vulnerable to shifts in the salience of particular selfaspects. First, Showers and Kling (1996) found that
both positively and negatively compartmentalized individuals took longer than integrative individuals to
recover from a sad mood induction if given the opportunity to reflect on their self-beliefs. Presumably, the
mood induction activated negative self-aspects in even
those individuals with positively compartmentalized
145
self-concepts, creating a flood of negative attributes that
made it difficult to restore their premanipulation mood.
Second, although Showers and Kevlyn (1999) found
that positively compartmentalized partner structures
were associated with positive attitudes toward a partner
in the short term, a 1-year follow-up found that compartmentalization was associated with a greater likelihood of relationship dissolution than was integration
(among individuals who initially described their partners in relatively positive terms; Showers & ZeiglerHill, 2004; see Murray & Holmes, 1999, for similar
results). Whereas compartmentalization may help individuals ignore a partner’s negative attributes, integration may encourage them to acknowledge, accept, and
even resolve the partner’s flaws. In contrast, compartmentalization may artificially enhance feelings for a
partner in a way that is extremely vulnerable to challenge. Just as compartmentalized partner structures
seem to be associated with unstable relationships (as
evidenced by higher rates of breakup), it seems likely
that a compartmentalized self-concept would be associated with unstable feelings of self-worth.
Third, in Rhodewalt et al.’s (1998) daily diary studies,
compartmentalization was correlated with unstable selfesteem. This effect was stronger for more narcissistic
individuals, such that compartmentalized narcissists
exhibited the most unstable self-esteem. The authors suggest that narcissism may exaggerate emotional responses
to the exclusively positive or negative self-knowledge
activated within compartmentalized self-aspects. The present studies replicate and extend the main effect of compartmentalization in this paradigm.
Overview and Predictions
The present studies had two primary goals. The first
goal was to examine whether evaluative organization is
associated with stability of self-esteem. The prediction was
that the self-esteem of individuals with compartmentalized self-concept structures would be less stable than that
of integrative individuals. To assess directly the extreme
self-esteem responses described above as a vulnerability
of compartmentalization, daily assessments of state selfesteem were obtained. However, the compartmentalization model also specifies that these fluctuations in
self-esteem should occur in response to events that activate positive or negative self-aspects. Thus, the second
goal of these studies was to examine the process hypothesized to contribute to self-esteem instability, namely, the
sensitivity of an individual’s state self-esteem to daily
events. This goal was operationalized in two ways. First,
for the daily diary studies, hierarchical linear models were
used to conduct daily events analyses, testing whether
daily self-esteem fluctuations are significantly associated
with daily events (and moderated by compartmentalized
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PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN
self-structure). Second, a laboratory manipulation of
social acceptance or rejection was used to test whether the
state self-esteem of compartmentalized individuals was
especially responsive to a positive or negative event under
controlled laboratory conditions.
STUDY 1
To examine the association between evaluative organization and self-esteem stability, measures of self-concept
content, self-concept structure, and trait self-esteem were
collected in the laboratory. In addition, participants
completed daily measures of state self-esteem. It was predicted that relative to integrative individuals, compartmentalized individuals should show less stability on the
daily measures of state self-esteem, presumably because
of their stronger reactions to daily events. However, the
stability measure does not directly assess the covariation
between state self-esteem and environmental events. To
examine whether the state self-esteem of compartmentalized individuals was more reactive to daily events than
the state self-esteem of integrative individuals, follow-up
analyses tested whether evaluative organization moderated the association between daily events and daily measures of state self-esteem.
Method
Participants
Data from two samples were combined because of the
similarity in procedures and measures. Sample A comprised 127 undergraduate students (40 men, 87 women)
enrolled in introductory psychology in the spring semester who participated in return for partial fulfillment of a
research participation requirement. The mean age of participants was 19.03 years (SD = 1.69). The racial/ethnic
composition was 73% White, 8% Black, 5% Asian, 3%
Native American, 2% Hispanic, and 9% Other.
Sample B comprised 153 undergraduate students (50
men, 103 women) enrolled in introductory psychology
in the fall semester, who participated in return for partial fulfillment of a research participation requirement.
The mean age of participants was 19.03 years (SD =
2.07). The racial/ethnic composition was 80% White,
5% Black, 4% Asian, 4% Native American, 5% Hispanic,
and 2% Other.
Measures
Self-Descriptive Card-Sorting Task
The content and structure of the self-concept was
measured by the card-sorting task used by Showers
(1992; Showers & Kling, 1996). This card-sorting task
is based on the task originally developed by Zajonc
(1960) and extended by Linville (1985, 1987). For this
task, participants were provided with a deck of 40
cards, each containing a potentially self-descriptive
attribute. The deck contained 20 positive (e.g., outgoing, successful, mature, hardworking) and 20 negative
attributes (e.g., unloved, isolated, tense, irritable).
Participants were given the following initial instructions, “Your task is to think of the different aspects of
yourself or your life and then sort the cards into groups
where each group describes an aspect of yourself or
your life.” The remainder of the instructions was very
similar to those reported by Showers and Kevlyn
(1999). Participants were able to form as many groups
as needed, with as many or as few attributes as desired
in each group. Attributes could be used in more than
one group, and attributes that the respondent did not
believe were self-descriptive did not have to be used.
Table 1 presents sample card sorts from two participants in this study. After completing the card-sorting
task, participants indicated the positivity, negativity,
and importance of each self-aspect generated during the
card-sorting task using 7-point scales.
Evaluative organization (phi). The measure of evaluative organization is a phi coefficient (Cramer, 1945/
1974; Everitt, 1977) based on a chi-square statistic. Phi
is an index of the deviation from chance of the number
of positive and negative attributes in each self-aspect,
where chance is the proportion of positive and negative
attributes across all self-aspects. The expected frequencies represent chance values for organizing positive and
negative attributes without regard for their valence. For
example, if the entire card sort contained 30% negative
attributes, then a self-aspect containing 10 attributes
would be expected to consist of approximately 7 positive attributes and 3 negative attributes. The observed
frequencies are obtained from the card sort. The chisquare statistic computed using these expected and
observed frequencies is normalized by dividing by the
number of attributes in the sort (N):
φ=
χ2
N
Phi can range from 0 (perfect integration; positive and
negative attributes are evenly distributed across all selfaspects) to 1 (perfect compartmentalization; each selfaspect is either purely positive or purely negative). Phi
was only computed if two or more negative attributes
were included in the card sort. This measure does not
depend on the number of self-aspects generated or the
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TABLE 1:
147
Examples of Actual Card Sorts Illustrating Compartmentalization and Integration
Panel A: Compartmentalized Organization
Me at Home
Me at Work
Me in Class
Me in Norman, OK
Me and My Sorority
Giving
Confident
Comfortable
Lovable
Outgoing
Happy
Friendly
Optimistic
Successful
Capable
Confident
Comfortable
Needed
Communicative
Organized
Interested
Outgoing
Hardworking
Happy
Friendly
Successful
Capable
Independent
Organized
Interested
Hardworking
Successful
Confident
Comfortable
Independent
Fun and entertaining
Interested
Outgoing
Hardworking
Happy
Friendly
Optimistic
Successful
Giving
Confident
Comfortable
Lovable
Fun and entertaining
Interested
Outgoing
Energetic
Happy
Friendly
Me With People
I Don’t Know
– Weary
– Inferior
– Tense
Me When
I’m Stressed
–
–
–
–
–
–
–
Hopeless
Not the “real me”
Uncomfortable
Sad and blue
Irritable
Disorganized
Tense
Panel B: Integrative Organization
Family
Organized
– Irritable
– Disagreeing
– Self-centered
Communicative
Lovable
Fun and entertaining
Energetic
Religion
Student
Needed
Organized
Giving
Happy
– Irritable
Optimistic
Successful
– Lazy
Mature
– Irritable
Organized
Intelligent
Interested
Hardworking
– Tense
African
American
Intimate
Relationship
– Hopeless
Organized
Confident
– Irritable
Comfortable
– Irritable
– Immature
– Insecure
– Inferior organized
– Tense
Friendship
Giving
– Uncomfortable
– Insecure
– Irritable
– Isolated
Organized
Friendly
– Not the “real me”
Dreams
(as in Goals)
Independent
Organized
– Weary
Perfectionist
Successful
– Disagreeing
– Irritable
Capable
Confident
Organized
Intelligent
Outgoing
Hardworking
– Tense
NOTE: Negative attributes are identified by a minus sign. Panel A: compartmentalization = 1.00, differential importance = .80, and proportion
of negative attributes = .17. Panel B: compartmentalization = .32, differential importance = .65, and proportion of negative attributes = .40.
proportion of positive and negative attributes used.
Further detail on the computation of phi is provided by
Showers and Kevlyn (1999).
Differential importance. Differential importance is a
measure of the relative importance of positive and negative self-aspects (Pelham & Swann, 1989). Differential
importance is the within-subject correlation between
participants’ ratings of their self-aspects (i.e., positivity
ratings – negativity ratings) and the importance assigned
to those self-aspects by the participants. Scores can range
from –1 to +1, with positive scores indicating that positive self-aspects are considered more important than negative ones and negative scores indicating that negative
self-aspects are considered more important than positive
ones (Showers, 1992).
Proportion of negative attributes. The proportion of
negative attributes is a measure of self-concept content
that is calculated by dividing the number of negative
attributes appearing in a respondent’s card sort by the
total number of attributes used.
Trait Self-Esteem
Participants completed the Rosenberg Self-Esteem
Scale (RSES; Rosenberg, 1965), a well-validated measure of self-esteem (Blaskovich & Tomaka, 1991). Test–
retest correlations greater than .80 have been previously
reported (Rosenberg, 1965). Participants were instructed
to complete the scale according to how they typically or
generally feel about themselves. Responses were made
on scales ranging from 1 (strongly disagree) to 5
(strongly agree). For the present study, the internal consistency of this measure was high (α = .85).
State Self-Esteem and Aggregate Instability
To assess state self-esteem, participants completed
the RSES with instructions to give the response that
best reflected how they felt at the moment they completed the form. Responses were made on scales ranging from 1 (strongly disagree) to 10 (strongly agree).
For each participant, the within-subject standard deviation across the repeated assessments of state selfesteem served as an aggregate measure of self-esteem
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PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN
instability, with higher standard deviations indicating
more unstable self-esteem.
Daily Events
Participants in Sample A completed the Daily Hassles
and Uplifts Scale (DeLongis, Folkman, & Lazarus, 1988)
each evening. This measure consisted of 53 items concerning domains of life that may be sources of either stress
or satisfaction (e.g., family, work, health, and money).
The response scale for this measure was modified so that
participants indicated whether each event occurred and if
those events that occurred were either a source of stress
(i.e., daily hassle) or satisfaction (i.e., daily uplift). Participants were not asked about the strength or importance of
these events. The final score for daily hassles consisted of
the number of daily events perceived as stressful; the final
score for daily uplifts consisted of the number of daily
events perceived as satisfying.
Participants in Sample B recorded their daily events
using a modified version of the Daily Events Survey
(DES; Butler, Hokanson, & Flynn, 1994). The DES was
employed with Sample B because of a concern that many
of the items on the Daily Hassles and Uplifts Scale may
not be relevant for the self-esteem of college students
(e.g., housework, home repair, yardwork) and, hence,
infrequently endorsed. The DES was chosen, in part,
because it was specifically constructed for use with college students. Following the modifications used in previous research (e.g., Nezlek & Gable, 2001), the DES
included 22 events (12 positive, 10 negative) equally representing social and achievement domains. Sample
events are “was excluded or left out by my group of
friends,” “fell behind in coursework or duties,” and
“classmate, teacher, coworker, or friend complimented
me on my abilities.” In addition, four generic items were
created to measure other unspecified events (i.e., positive
social event, negative social event, positive achievement
event, and negative achievement event). The final score
for negative events was the number of negative event
items endorsed; the positive events score was the number
of positive event items endorsed.
study and were instructed to return the completed measures to a designated location every 3 to 4 days. At the end
of the 1st week, participants received forms for the 2nd
week and were again instructed to return the completed
forms to a designated location every 3 to 4 days.
Participants from Sample B completed measures of
self-concept content and structure as well as a measure
of trait self-esteem in small groups of 2 to 6 participants. These participants were then instructed to complete a measure of state self-esteem at 24-hour intervals
(at approximately 10 p.m. each day) for 7 consecutive days. These participants also completed the DES
each evening at approximately 10 p.m. Participants
were instructed to return the completed measures to a
designated location every 3 to 4 days.
Results
Of the 127 participants from Sample A who began the
study, 6 participants failed to complete the card-sorting
task or used fewer than two negative attributes. In addition, data from 12 participants who completed daily measures for fewer than 10 (out of 14) days were excluded.
Analyses were conducted using the 109 remaining participants. On average, these participants completed 12.54
(SD = 1.08) daily measures (i.e., state self-esteem) in the
morning and 13.24 (SD = 0.93) daily measures (i.e., state
self-esteem and daily events) in the evening.
Of the 153 participants from Sample B who began the
study, 10 participants failed to complete the card-sorting
task or used fewer than two negative attributes and 5 participants failed to complete measures relevant to the
current study. In addition, data from an additional 20 participants who completed daily measures for fewer than 5
(out of 7) days were excluded. Analyses were conducted
for the 118 remaining participants. On average, these participants completed 6.25 (SD = 0.43) daily measures (i.e.,
state self-esteem and daily events) in the evening.
In the present analyses, the combined sample (N =
227) is used whenever possible.
Descriptive Statistics
Procedure
Participants from Sample A completed measures of
self-concept content and structure as well as a measure of
trait self-esteem in small groups of 2 to 12 participants.
These participants were then instructed to complete measures of state self-esteem at 12-hour intervals (at approximately 10 a.m. and 10 p.m.) for 14 consecutive days.
These participants also completed the Daily Hassles and
Uplifts Scale each evening at approximately 10 p.m. To
enhance compliance with these instructions, participants
received enough forms for 1 week at the beginning of the
Table 2 presents the means, standard deviations, and
intercorrelations for the measures used in the present
study. On average, the participants’ card sorts consisted
of 6.4 self-aspects and contained 8.0 attributes per selfaspect. The card sorts contained an average of 13.9
(28%) negative attributes. As indicated in Table 2, proportion of negative attributes was arcsine transformed
to reduce skew (Cohen, Cohen, West, & Aiken, 2003).
Note that compartmentalization is positively correlated
with proportion of negative attributes. This is typical in
our studies and may occur because it is easy to include
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TABLE 2:
Intercorrelations and Descriptive Statistics
Variable
1
2
1. Evaluative
organization
2. Differential
importance
3. Proportion
of negative
attributes
4. Trait self-esteem
5. Self-esteem
instability
—
.10
M Sample A
SD Sample A
M Sample B
SD Sample B
.14
—
.53***
–.17
.25**
.71
.24
.69
.22
–.07
.38***
–.09
.47
.45
.41
.49
3
.35***
–.21*
4
–.14
.24*
5
.18
–.04
—
–.33***
.16
–.47***
.38***
—
–.29**
–.13
—
.29
.15
.30
.14
42.51
5.30
42.32
5.31
6.46
4.51
4.97
3.78
NOTE: Correlations for Sample A (N = 109) are presented above the
diagonal, whereas correlations for Sample B (N = 118) are presented
below the diagonal. Proportion of negative attributes is arcsine transformed (actual values: Sample A, M = 0.28, SD = 0.14; Sample B, M =
0.29, SD = 0.13).
*p < .05. **p < .01. ***p < .001.
many negative attributes in a compartmentalized structure (e.g., me before exams) with little impact on selfesteem. In previous work, the predicted association of
positive compartmentalization and high self-esteem is
seen when the proportion of negative attributes is held
constant (e.g., Showers, 1992).
Participants who had been excluded for failure to provide all measures did not differ from those retained on the
first four measures listed in Table 2, Sample A: |t|s < .85,
ns; Sample B: |t|s < .79, ns. Moreover, the number of days
participants contributed data was not correlated with any
of these measures or with aggregate self-esteem instability, Sample A: |r|s < .13, ns; Sample B: |r|s < .17, ns.1
Aggregate Instability Analysis
The present analysis examined the association
between evaluative organization and self-esteem instability by regressing the aggregate measure of self-esteem
instability (the standard deviation of each individual’s
daily state self-esteem scores) onto the following measures: evaluative organization, differential importance,
proportion of negative attributes, trait self-esteem, and
sample (A or B). Although we predicted a main effect
association between evaluative organization and instability, preliminary analyses included differential importance
and proportion of negative attributes as predictors because
of their critical role in previous research predicting current mood and self-esteem (e.g., Showers, 1992). Here,
trait self-esteem is included as a predictor because of its
association with the criterion variable, self-esteem instability (see Table 2). Interactions involving main effect terms
were included for exploratory purposes. All continuous
149
predictor variables were centered for the purpose of testing interactions (Aiken & West, 1991).
Preliminary results showed no significant interactions
involving differential importance and proportion of negative attributes, so these terms were trimmed. In the final
analysis, the main effect terms for evaluative organization, differential importance, proportion of negative
attributes, trait self-esteem, and sample were entered on
Step 1. On Step 2, all two-way interactions were entered
for evaluative organization, trait self-esteem, and sample. On Step 3, the three-way interaction of evaluative
organization, trait self-esteem, and sample was entered.
Two significant main effects emerged from this analysis. There was an association between proportion of
negative attributes and self-esteem instability such that
people who used more negative attributes were more
unstable, β = .15, p < .05 (cf. Kernis & Waschull, 1995).
There also was an association between sample and selfesteem instability, such that Sample A reported higher
levels of instability than Sample B, β = –.18, p < .01.2 The
main effect of evaluative organization was marginally
significant, β = .14 , p < .06, such that individuals with
compartmentalized self-structures reported less stable
self-esteem. This marginal main effect was qualified by a
significant interaction of evaluative organization and
trait self-esteem on Step 2, β = .14, p < .03. Predicted values for this interaction are shown in Figure 1. To examine the patterns of this interaction, simple slopes tests
were employed (Aiken & West, 1991). These analyses
showed that for individuals with low trait self-esteem,
state self-esteem was relatively unstable regardless of
whether they possessed compartmentalized or integrative self-concept structures, β = –.07, ns. However,
among individuals with high trait self-esteem, integrative
individuals showed greater stability of state self-esteem
than did compartmentalized individuals, β = .24, p < .02.
Daily Events Analyses
Whereas the previous analyses examined an aggregate
measure of self-esteem instability (i.e., fluctuations in
state self-esteem over time), the present analyses test
directly the link between daily state self-esteem and the
positive and negative events reported each day. The daily
diary data from the present study comprised a multilevel
data structure because observations at one level of analysis (i.e., days) were nested within another level of analysis (i.e., individuals). Due to the hierarchical structure of
the data, a series of multilevel random coefficient models
(MRCMs) using the program HLM (Bryk, Raudenbush,
& Congdon, 1998) were employed in the present study.
MRCM conceptually involves two steps. First, a regression equation is estimated for each individual at Level 1
(the within-person level), which yields intercept and slope
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TABLE 3:
Self-Esteem Instability
6.5
Descriptive Statistics for State Self-Esteem and Daily
Events
6.0
M
5.5
Sample A
State self-esteem
81.58
Daily hassles
2.57
Daily uplifts
3.48
Sample B
State self-esteem
80.06
Negative daily events 7.00
Positive daily events
3.73
5.0
4.5
4.0
3.5
Integrative
Compartmentalized
Evaluative Organization
Low Self-Esteem
Figure 1
WithinBetweenPerson SD Person SD Reliability
7.75
.83
.65
13.27
1.08
1.03
.97
.96
.97
6.03
2.05
1.70
11.61
2.96
2.74
.96
.95
.94
NOTE: NSample A = 109; NSample B = 118.
High Self-Esteem
Predicted values for self-esteem instability, illustrating the
interaction of evaluative organization and trait self-esteem
at values that are 1 standard deviation above and below
the means.
coefficients to index the association between variables at
the daily level (e.g., “Does self-esteem tend to decrease on
days when negative events occur?”). Second, Level 2 (the
between-persons level) examines whether the regression
slopes obtained from the within-person level differ across
individuals, depending on the level of an individualdifference variable (e.g., “Is the tendency to experience
lower self-esteem on days when negative events occur
especially strong for individuals with compartmentalized
self-concept structures?”).
The measures of daily events differed between
Sample A (Daily Hassles and Uplifts Scale) and Sample
B (DES). Because we could not assume that the means
and standard deviations of positive and negative events
for these two samples were equivalent, the daily events
analyses for Samples A and B were conducted separately. Because the DES events measure is likely a more
appropriate measure of both positive and negative
events experienced by college students, we first report
detailed results for Sample B and then provide a brief
summary of the results for Sample A.
Descriptive Statistics for Measures
of State Self-Esteem and Daily Events
Descriptive statistics for the daily measures for
Samples A and B are provided in Table 3. These descriptive statistics were obtained by an unconditional model
(i.e., contains no terms other than intercepts at any
level) for each daily measure. The Level 1 and Level 2
equations were as follows:
Level 1 (within-person): yij = β0j + rij ;
Level 2 (between-persons): β0j = γ00 + u0j .
In this Level 1 model, yij is a measure of state self-esteem
or daily events for person j on day i, β0j is a random
coefficient representing the mean for person j (across
the i days for which each person provided data), rij represents the error associated with each measure, and the
variance of rij constitutes the within-person error variance. In this Level 2 model, γ00 represents the grand
mean of the person-level means from the within-person
model, u0j represents the error of β0j, and the variance of
u0j constitutes the between-person error variance. Each
of the daily measures had a reliability coefficient of .94
or greater (see Table 3).
Evaluative Organization and Average
Daily Events or Average State Self-Esteem
A two-level MRCM was used to examine the association of evaluative organization with state self-esteem
and daily events. These effects are examined at Level 2
by modeling the variability of β0j, the coefficient from
the Level 1 model representing the person mean. This
analysis is referred to as a “means as outcomes” analysis (Bryk & Raudenbush, 1992). The Level 2 model
shown below was used to examine whether evaluative
organization, differential importance, proportion of
negative attributes, or trait self-esteem were associated
with average levels of daily events or state self-esteem
(averaged across all daily reports). (Terms for the twoway interactions of the predictors were trimmed from
the model because they did not approach significance,
|Bs| < .18, ns.)
β0j = γ00 + γ01(PHI) + γ02(DI) + γ03(NEG)
+ γ04(RSES) + u0j .
For average state self-esteem, the only significant association that emerged was an association with trait selfesteem, B = 8.91, p < .001, such that individuals who
report higher levels of trait self-esteem also tend to
report relatively high levels of state self-esteem. No
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other associations emerged from these analyses. That is,
the measures of self-concept structure were not associated with individuals’ average level of state self-esteem
or average number of daily events.
Daily Events and State Self-Esteem
A two-level MRCM was used to examine withinperson relationships between daily events and daily
state self-esteem. For these analyses, daily measures of
positive events and negative events were person-mean
centered (Raudenbush & Bryk, 2002). This technique
eliminates the influence of habituation to the average
number of positive and negative daily events in their
lives (as well as possible self-report biases) and predicts
changes in state self-esteem in response to deviations
from the person’s average number of events.
The Level 1 model was as follows:
yij = β0j + β1j(POSITIVE EVENTS)
+ β2j(NEGATIVE EVENTS) + rij ,
in which y is the state self-esteem of person j on day i,
β0j is a random coefficient representing the intercept for
person j, β1j is a random coefficient for positive events,
β2j is a random coefficient for negative events, and rij
represents error. Positive and negative daily events were
entered together to differentiate their impact on daily
state self-esteem. Within-person relationships between
daily events and daily state self-esteem were examined
by analyzing Level 1 (within-person) coefficients at
Level 2 (between-persons) using the following model:
Intercept: β0j = γ00 + u0j ;
Positive Events: β1j = γ10 + u1j ;
Negative Events: β2j = γ20 + u2j .
In this model, γ00 represented the average of the withinperson intercepts, whereas γ10 and γ20 represented the
average of the positive events and negative events slopes,
respectively. All three within-person coefficients were
modeled as random (i.e., u0j, u1j, and u2j terms are
included). As expected, both positive daily events (B =
0.51, p < .001) and negative daily events (B = –0.41,
p < 0.01) were associated with daily state self-esteem.
Across all participants, state self-esteem was higher on
days with high numbers of positive events or low
numbers of negative events.
Evaluative Organization as a Moderator
of Within-Person Relationships Between
Daily Events and Daily State Self-Esteem
This analysis examined how individual differences in
evaluative organization moderated the association
151
between daily state self-esteem and daily events after
controlling for differential importance, proportion of
negative attributes, and trait self-esteem. These analyses
elaborate on the marginal main effect for evaluative
organization found in the self-esteem instability analysis. To determine whether the within-person relationships described in the previous analyses varied as a
function of individual differences in evaluative organization, coefficients from Level 1 were analyzed at Level
2 using the following model:
β0j = γ00 + γ01(PHI) + γ02(DI) + γ03(NEG) + γ04(RSES) + u0j;
β1j = γ10 + γ11(PHI) + γ12(DI) + γ13(NEG) + γ14(RSES) + u1j;
β2j = γ20 + γ21(PHI) + γ22(DI) + γ23(NEG) + γ24(RSES) + u2j.
In these models, the moderating effect of evaluative
organization was tested by the significance of the γ11
and γ21 coefficients (for positive events and negative
events, respectively). These coefficients may be interpreted like standardized regression coefficients because
Level 2 variables were standardized prior to analysis
(Nezlek & Plesko, 2003). The results of these analyses
are summarized in Table 4. Evaluative organization
moderated the association of daily state self-esteem with
positive daily events, B = 0.27, p < .05, and negative daily
events, B = –0.25, p < .05. It is important to note that
these cross-level interactions are unique effects. That is,
the interaction of evaluative organization and positive
daily events emerges even when the effect of negative
daily events on daily state self-esteem is controlled.
The predicted values for these cross-level interactions
are shown in Figure 2. To examine the patterns of these
cross-level interactions, simple slopes tests were employed
that have been adapted for multilevel models (Curran,
Bauer, & Willoughby, 2006). These analyses showed
that individuals with compartmentalized self-concept
structures experienced a significant increase in daily
state self-esteem on days with relatively high numbers of
positive events, B = 0.74, p < .001, as well as a significant decrease in daily state self-esteem as their number
of negative events increased, B = –0.59, p < .001.
Individuals with an integrative self-concept structure
did not experience a significant change in their daily
state self-esteem as the number of positive events, B =
0.21, ns, or negative events increased, B = –0.10, ns.
Taken together, these results suggest that the daily state
self-esteem of compartmentalized individuals is more
closely associated with daily events than is the daily
state self-esteem of integrative individuals.
Sample A: Summary of Daily Events Analyses
The results of the daily events analyses for Sample A
were very similar to those for Sample B with regard to
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152
PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN
TABLE 4:
MRCM Analysis: Evaluative Organization as a Moderator of Within-Person Relationships Between Daily State Self-Esteem
and Daily Events
Intercept
Intercept
Phi
DI
Neg
RSES
Coeff.a
SE
t
80.43
–1.07
.84
.51
8.91
.71
.80
.81
.74
.80
113.11***
–1.34
1.03
.69
11.14***
Positive Events
Negative Events
Effect Sizeb
Coeff.a
SE
t
Effect Sizeb
Coeff.a
SE
t
Effect Sizeb
.11
.11
.11
.09
.10
4.38***
2.38*
–1.44
–.25
–.32
–.34
.22
.14
–.25
–.09
.01
.17
–2.44*
.13
.13
.13
.17
–1.92*
–.70
.07
1.01
.18
.72
.48
.27
–.15
–.02
–.03
NOTE: N = 118, df = 116. MRCM = multilevel random coefficient models, SE = standard error; Phi = evaluative organization; DI = differential
importance; Neg = proportion of negative attributes; RSES = Rosenberg Self-Esteem Scale.
a. Unstandardized coefficient.
b. Effect sizes were computed with the following formula (Rosenthal & Rosnow, 1984) and are presented for significant effects only: r = square
root of [t2 / (t2 + df)].
*p < .05. ***p < .001.
negative events. Although Sample A provided both
morning and evening reports of state self-esteem, only
the evening reports were used for the daily events analyses. Evaluative organization moderated the association
between daily state self-esteem and daily hassles in
Sample A, B = –1.09, p < .01. Simple slopes tests found
that individuals with compartmentalized self-concept
structures reported lower state self-esteem on days with
relatively high numbers of daily hassles, B = –2.05, p <
.001. Individuals with an integrative self-concept structure did not experience significant declines in daily state
self-esteem on days they reported more daily hassles,
B = 0.13, ns. In contrast to the analyses of positive
events for Sample B, the results for Sample A did not
show evaluative organization as a significant moderator
of the relationship between state self-esteem and daily
uplifts, B = 0.47, ns. One possible explanation is that
the measure of daily uplifts was not particularly sensitive to the types of positive events that are relevant to
the self-esteem of college students.
Discussion
In the aggregate instability analyses, despite a marginal main effect, the predicted association of compartmentalization and instability of state self-esteem was
significant only for individuals with high levels of trait
self-esteem. Among individuals with high trait selfesteem, integrative individuals showed greater stability
of state self-esteem than did compartmentalized individuals. Individuals with low trait self-esteem tended to
be unstable in their state self-esteem regardless of selfstructure. If there are advantages of integration, at least
in terms of self-esteem stability, they are found primarily among individuals who possess relatively positive
views of the self. It is possible that some threshold level
of positivity (e.g., high self-esteem or a high proportion
of positive self-beliefs) must be met before integration is
able to protect and stabilize self-esteem. Moreover, it
would make sense that integrative individuals with relatively negative self-concepts—and accompanying low
trait self-esteem—would fail to internalize the stabilizing implications of their integrative thinking because it
would not be to their advantage to give up transient good
feelings when positive events occurred.
This result suggests that the high level of self-esteem
that typically characterizes positively compartmentalized individuals may be difficult for those individuals to
sustain and may result in frequent fluctuations in state
self-esteem. According to the compartmentalization model,
these fluctuations may be due to the short-term activation of self-aspects that are mostly negative. In contrast,
a similar negative event may have less impact on the
state self-esteem of an individual with an integrative
self-concept structure because this individual is able to
maintain access to positive self-beliefs.
The hypothesis concerning the reactivity of state selfesteem to daily events was supported by the results of
the present study. The state self-esteem of compartmentalized individuals was more responsive to daily events
than the state self-esteem of integrative individuals.
That is, the state self-esteem of compartmentalized individuals increased more than the state self-esteem of integrative individuals on days with many positive events
and decreased more on days with many negative events.
Thus, integrative individuals seem to be buffered against
the impact of both positive and negative events on
self-esteem.3
STUDY 2
The results of Study 1 indicate that the self-esteem of
compartmentalized individuals may be more responsive to daily events than is the self-esteem of integrative
individuals. However, participants in Study 1 merely
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Panel A
84
State Self-Esteem
82
80
78
76
74
Integrative
Compartmentalized
Evaluative Organization
Low Positive Events
153
compartmentalization, subtle differences in the types of
events experienced could explain the reactivity of individuals with compartmentalized self-structures. For this
reason, Study 2 was designed to test the causal relationship between the experience of an event and the individual’s response. This was accomplished by creating an
experience of social acceptance or rejection in the laboratory. The prediction was that the state self-esteem of individuals with compartmentalized self-concepts would be
more sensitive to social acceptance and rejection, whereas
the state self-esteem of integrative individuals would be
less affected by these manipulations. Social experiences
seemed appropriate for the present study because of the
importance for self-esteem of gaining interpersonal acceptance and forming strong social bonds (Baumeister &
Leary, 1995; Baumeister & Tice, 1990) and the substantial literature on the impact of social rejection (e.g.,
Leary, Tambor, Terdal, & Downs, 1995).
High Positive Events
Method
Panel B
Participants
84
Participants were 138 undergraduates from Sample B
in Study 1. This group includes 118 individuals from
the analyses for Study 1 as well as 20 individuals who
were previously excluded because they did not complete
the daily measures. The present analyses focus on data
collected during the second laboratory session.
State Self-Esteem
82
80
78
Measures
76
74
Integrative
Compartmentalized
Evaluative Organization
Low Negative Events
Figure 2
High Negative Events
Predicted values for daily state self-esteem, illustrating
the cross-level interaction of evaluative organization (at
values 1 standard deviation above and below the grand
mean) with positive events (at values 2 standard errors
above and below the group mean, Panel A) and negative
events (at values 2 standard errors above and below the
group mean, Panel B).
reported the events they experienced in the course of their
daily lives. This leaves open the possibility that the daily
experiences of compartmentalized and integrative individuals differ in some systematic fashion. For example,
the positive and negative events experienced by compartmentalized individuals may in reality have greater implications for self-esteem than the events experienced by
integrative individuals. Although the number of positive
and negative events experienced was not correlated with
In addition to the measures previously reported
for Sample B, the second laboratory session included
additional measures of state self-esteem and perceived
social rejection.
Perceived Social Rejection
Participants indicated their current level of perceived
social rejection by indicating their level of agreement
with the statement “At this moment, I feel rejected by
others.” Responses were made on a scale ranging from
1 (strongly disagree) to 10 (strongly agree).
Procedure
To increase the impact of social rejection or acceptance, participants were asked to complete a questionnaire
during the first laboratory session that would provide selfdescriptive information to 3 participants with whom they
believed they would perform a mental visualization task
during the second laboratory session. The questionnaire
asked for basic personal information such as first name,
college major, and hobbies. At the beginning of the second
laboratory session (1 week later), participants were given
the self-descriptive questionnaires ostensibly belonging to
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154
PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN
their three teammates. They were given 5 min to read
these questionnaires and to begin forming a mental image
of their teammates. Participants were then instructed to
visualize themselves and their teammates during an online
game of virtual ball-toss. This Cyberball task was developed to induce feelings of social rejection and ostracism
(Williams, Cheung, & Choi, 2000).
Each action taken by any member of the team was
presented on the screen. When participants received the
ball, they chose to whom to throw the ball by selecting
that player’s name. On each of the turns in which participants were not in possession of the ball, they watched
what was occurring between the three computer-generated
players whom they believed were other participants in
the laboratory session. The computer-generated players’
throws were controlled by an algorithm. The probability that they would throw the ball to the participant
depended on the condition to which participants were
randomly assigned. In the social acceptance condition,
participants received the ball during 25% of 30 trials,
which is what would be expected by chance. In the
social rejection condition, participants received the ball
twice during the initial rounds and then did not receive
it during the remainder of the task.
Following this manipulation, participants reported
their state self-esteem and perceived social rejection. In
an effort to capture the effects of social rejection or
acceptance on self-esteem and perceived rejection over
time, these ratings were collected at three points in
time: immediately following the manipulation (Time
1), 60 min after the manipulation (Time 2), and at 10
p.m. that night (Time 3). Between Time 1 and Time 2,
participants completed a questionnaire related to the
mental visualization task (e.g., “I was able to visualize
the game very well”), a questionnaire asking participants to rate themselves and their teammates on a variety of traits, and 7 personality scales that were not
relevant to the present study. Following Time 2, participants were debriefed concerning the purpose of
the study. Of importance, this debriefing included a
description of the social rejection manipulation. Before
leaving the laboratory, participants were asked to complete a final set of ratings at 10 p.m. that night (Time
3). Thus, participants were aware of the purpose of the
study—and that their Cyberball teammates did not
actually exist—when they completed the Time 3 ratings. Participants returned their Time 3 ratings to the
laboratory on the next day in exchange for additional
credit toward their research participation requirement.
Results
Of the 138 participants who completed all of the relevant measures for the present study, 63 were randomly
assigned to the acceptance condition and 75 were randomly assigned to the rejection condition.
State Self-Esteem and Perceived Rejection
Following Social Rejection or Acceptance
As a manipulation check, the difference in perceived
social rejection between the social rejection and social
acceptance conditions was examined for Time 1 (immediately following rejection). As expected, participants in
the social rejection condition reported greater feelings
of rejection (M = 3.31, SD = 2.48) than did participants
in the social acceptance condition (M = 2.43, SD = 1.90)
immediately following the manipulation, t′(134.88) =
–2.35, p < .02.
The association between self-concept structure and
reactions to the social rejection manipulation were
examined by a series of hierarchical multiple regressions. As in the aggregate instability analyses for Study
1, all two- and three-way interactions of the variables
entered on Step 1 were included in preliminary analyses. Interactions involving differential importance and
proportion of negative attributes were included for
exploratory purposes but these interactions were trimmed
from the final model because they did not approach
conventional levels of significance. In the final analysis,
Step 1 tested the main effects for evaluative organization, differential importance, proportion of negative
attributes, trait self-esteem, and social rejection condition (coded as 0 = acceptance and 1 = rejection). On
Step 2, the two-way interactions of evaluative organization, trait self-esteem, and social rejection condition
were entered. Following the procedures of Aiken and
West (1991), all main effect terms were centered before
computing the product terms that tested interactions.
These analyses were conducted for the measures of
state self-esteem and perceived rejection following the
manipulation.
Time 1: Immediately Following Social
Rejection or Acceptance
As expected, a significant main effect of trait selfesteem was found such that individuals with high levels
of self-esteem continue to report relatively high levels of
state self-esteem following the laboratory manipulation,
β = .60, p < .001. A significant main effect of evaluative
organization also emerged for state self-esteem such that
compartmentalized individuals reported lower state selfesteem, β = –.14, p < .05. As predicted, the main effect
of evaluative organization was qualified by its interaction with social rejection condition, β = –.20, p < .05.
Predicted values for this interaction are presented in
Figure 3. Because hypotheses concerned the interaction
of evaluative organization and social rejection condition,
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4.4
Perceived Rejection at Time 1
State Self-Esteem at Time 1
86
85
84
83
82
81
80
79
78
4.0
3.6
3.2
2.8
2.4
2.0
1.6
Integrative
Compartmentalized
Integrative
Evaluative Organization
Accepted
Figure 3
155
Evaluative Organization
Rejected
Adjusted predicted values for state self-esteem at Time 1,
illustrating the interaction of evaluative organization (at
values 1 standard deviation above and below the mean)
and social rejection condition.
these regression analyses were followed by the simple
slopes tests recommended by Aiken and West (1991).
These tests specifically examined whether the regression
slopes for evaluative organization were significantly different from zero for the social rejection and social acceptance conditions. Simple slopes test found that evaluative
organization was a significant predictor of state selfesteem for individuals in the social rejection condition,
β = –.26, p < .01, such that compartmentalized individuals reported significantly lower state self-esteem than
integrative individuals. Evaluative organization was not
a significant predictor of state self-esteem for individuals
in the social acceptance condition, β = .05, ns.
A similar analysis examined perceived social rejection at Time 1. For this analysis, main effects emerged
for trait self-esteem, β = –.30, p < .01, and social rejection condition, β = .24, p < .01. An interaction of evaluative organization and social rejection condition also
emerged, β = .22, p < .05. Predicted values for this interaction are shown in Figure 4. Simple slopes tests confirmed that evaluative organization was associated with
perceived rejection for individuals in the social rejection
condition, β = .21, p < .05, such that compartmentalized
individuals reported higher levels of perceived rejection
than integrative individuals. Evaluative organization
was not associated with perceived rejection for individuals in the acceptance condition, β = –.12, ns.
Time 2: 1 Hour Following Social
Rejection or Acceptance
The moderating effect of self-concept structure on
reactions to the social rejection manipulation was exam-
Compartmentalized
Accepted
Figure 4
Rejected
Adjusted predicted values for perceived rejection at Time
1, illustrating the interaction of evaluative organization (at
values 1 standard deviation above and below the mean)
and social rejection condition.
ined at Time 2 to determine whether effects that emerged
immediately following the manipulation would persist
and whether new effects would emerge over time. For
state self-esteem, a main effect of trait self-esteem was
found such that individuals with high levels of self-esteem
continued to report high levels of state self-esteem at
Time 2, β = .59, p < .001. However, no other effects
emerged for state self-esteem at Time 2. For perceived
social rejection, a main effect for trait self-esteem also
emerged such that individuals with low levels of selfesteem continued to report high levels of perceived rejection at Time 2, β = –.28, p < .01. No other main effects
or interactions emerged for perceived rejection at Time 2.
Time 3: Daily Ratings (10 p.m.)
These measures of state self-esteem and perceived
rejection were collected after participants had been
debriefed as to the nature of the Cyberball acceptance
and rejection manipulation. It is important to note that
these measures were not included in the daily measures
used to derive the measure of self-esteem instability. Of
interest, consistent with the Time 1 analysis of state selfesteem, there were significant main effects for evaluative
organization, β = –.20, p < .03, and trait self-esteem,
β = .55, p < .001. The main effect of evaluative organization was qualified by its interaction with social rejection condition, β = –.19, p < .05. The predicted values
for this interaction are similar to those presented in
Figure 3. As in the Time 1 analysis, simple slopes tests
for this analysis found that evaluative organization was
associated with state self-esteem for individuals in the
social rejection condition, β = –.33, p < .01, but not for
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PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN
individuals in the social acceptance condition, β = .09,
ns. No other effects emerged for state self-esteem at
Time 3. Also consistent with the results from Time 1,
the interaction of evaluative organization and social
rejection condition emerged at Time 3 for perceived
social rejection, β = .30, p < .02. The predicted values
for this interaction are similar to those presented in
Figure 4. As in the Time 1 analysis, simple slopes tests
for this analysis found that evaluative organization was
associated with perceived rejection for individuals in the
social rejection condition, β = .32, p < .05, but not for
individuals in the social acceptance condition, β = –.13,
ns. No other effects reached conventional levels of significance for perceived social rejection at Time 3.
Discussion
The sensitivity of compartmentalized individuals to
social rejection was demonstrated by their lower levels of
state self-esteem and higher levels of perceived rejection
following the laboratory manipulation. Of interest, this
effect was obtained immediately after the rejection manipulation and again at 10 p.m. but not 1 hour following the
manipulation. One possibility is that the self-description
measures completed between the initial state self-esteem
ratings and the 1-hour assessment (which were not
intended to be relevant to the goals of the present study)
constituted a form of self-affirmation, activating positive
self-aspects prior to the second assessment of state selfesteem. Of interest, the fact that participants were
debriefed at the end of the laboratory session did not prevent self-esteem reactivity later that night. This could be
an example of perseverance (Ross, Lepper, & Hubbard,
1975). Alternatively, by 10 p.m., perhaps only the past
experience of feeling rejected is important for an individual’s feeling of self-esteem, regardless of explanations for
that experience provided after the fact.
GENERAL DISCUSSION
The present results suggest that the self-esteem of compartmentalized individuals may be characterized as less
stable than the self-esteem of integrative individuals. Study
1 found that evaluative organization was associated with
self-esteem stability for individuals with high levels of trait
self-esteem. Specifically, integrative individuals with relatively high levels of trait self-esteem displayed especially
stable state self-esteem throughout a 1- to 2-week period.
Presumably, the unstable self-esteem of positive compartmentalized individuals reflected their extreme reactions to
daily events. This process was supported by daily events
analyses, which indicated that the state self-esteem of
compartmentalized individuals fluctuated along with the
positive or negative events of the day. A similar result was
obtained in Study 2 for the experience of social rejection
in the laboratory.
Although not explicitly tested here, the hypothesized
explanation for the instability of compartmentalized
self-concepts is the activation of purely positive or
purely negative attributes associated with evaluatively
compartmentalized self-aspects. When purely positive
self-aspects are activated, then compartmentalized individuals feel extremely good; when purely negative selfaspects are activated, these individuals feel extremely
bad. Some people with good coping skills may be
extremely successful at creating and maintaining salient
positive compartments under conditions of stress
(Showers et al., 1998). However, the present studies
suggest that the typical compartmentalized individual in
fact experiences substantial fluctuations in self-esteem
in response to everyday events.
We have termed these fluctuations in self-esteem a
“hidden vulnerability” of compartmentalized organization. Although individuals may be either positively compartmentalized or negatively compartmentalized, positive
compartmentalization is believed to be more common
(Showers, 2002). Positive compartmentalization is typically associated with positive mood and high self-esteem
(with negative content held constant). However, such
findings may obscure short-lived sensitivities to negative
events (the instability demonstrated here) or longerlived effects such as dramatic shifts from positive to
negative compartmentalization (cf. Showers & ZeiglerHill, 2004).
Previous research on self-esteem instability links
unstable self-esteem to inconsistency in self-knowledge
(Kernis, Paradise, Whitaker, Wheatman, & Goldman,
2000). Individuals with low self-concept clarity or
highly differentiated self-concepts are believed to possess unstable self-esteem because their impoverished
self-concept forces them to be more reliant on their
immediate contexts for cues concerning their feelings of
self-worth. Functionally similar inconsistencies may
exist within compartmentalized structures. Because
evaluative organization is concerned with the valence of
specific self-beliefs, a compartmentalized self-concept is,
by its very definition, likely to be evaluatively inconsistent across self-aspects. That is, because of the segregation of positive and negative attributes, individuals with
compartmentalized self-concept structures may have
greater variability in evaluations between self-aspects
than individuals with integrative self-concepts. Individuals with integrative self-concept structures, on the
other hand, may have inconsistencies within a particular self-aspect. For example, an individual with an integrative self-concept structure may consider the self to be
shy but fun during social interactions. The fact that
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Zeigler-Hill, Showers / SELF-STRUCTURE AND SELF-ESTEEM
these self-beliefs are contained within the same selfaspect suggests that this integrative individual has
reached some resolution of the inconsistency between
these oppositely valenced self-beliefs.
It should be noted that the explanations presented for
the current findings are based on a process model that
assumes that evaluative organization is a relatively stable
feature of the individual that exists prior to potentially
self-relevant events and influences reactions to these
events. However, the data in the present studies cannot
rule out the possibility that the direction of causality
may be either bidirectional or reversed. For example,
Larsen and Diener (1987) provided an alternative conceptualization of structural effects that suggests that the
tendency to experience extreme and variable emotional
states may actually determine the structure of the selfconcept. This alternative model implies that individuals
with stronger affective reactions may structure their selfrepresentations in a manner that tends to generate the
higher levels of affect they desire. For example, an individual who desires intense emotions may construct a
simple life organized around only a few self-aspects such
as being a parent and spouse. By organizing life in this
manner, self-esteem is likely to be very dependent on
relationships with children and spouse. When this
person feels loved and accepted by the family, the result
may be very high self-esteem; however, feelings of
extremely low self-esteem may be experienced on those
occasions when the person does not feel loved and
accepted. If necessary, it seems that the intensity and
variability of emotional experiences could be reduced by
increasing the complexity of life (e.g., by focusing greater
attention on professional life). Of course, it is also possible that self-concept structure and unstable self-esteem
are both by-products of some third variable (Emmons &
King, 1989). For example, certain neurologically based
memory deficiencies may lead individuals to base their
thoughts, feelings, and behaviors almost completely on
what is happening in the present (Lumsden, 1993). It is
possible that both compartmentalization and unstable
self-esteem are due to this sort of time-frame truncation.
This is a direction for future research.
One limitation of the present studies is that the daily
reports of events and state self-esteem were not time
stamped, leaving open the possibility that some of the
participants’ reports were completed retrospectively
within each 3- to 4-day period. Thus, it is possible that
integrative individuals appear to have more stable selfesteem because they are biased in any retrospective
reporting. If the observed effects on state self-esteem are
in fact due to differential retrospective reporting, then
the daily events analyses may simply indicate that individuals with integrative self-concept structures recover
from positive and negative events more quickly so that
157
they recall the impact on their state self-esteem as more
muted than it actually was. However, this explanation
is contradicted by the results of Study 2, in which the
same stable response is observed for integrative individuals with immediate reporting. Thus, Study 2 suggests
that time stamping would not have altered the results of
Study 1 (cf. Green, Rafaeli, Bolger, Shrout, & Reis,
2006). Another problem with the retrospective bias
explanation of Study 1 is that self-concept structure was
not correlated with the number of daily reports returned
or with the number of positive or negative events (Bs <
.37, ns). It seems likely that if there were a retrospective
bias in reports of self-esteem, there would be a concomitant bias (either upward or downward) in reports
of events, but this did not occur.
Previous studies have established that positively compartmentalized individuals tend to have relatively high
levels of self-esteem and positive mood (e.g., Showers,
1992; Showers et al., 1998). However, these studies
have relied exclusively on self-report measures of current adjustment, which leaves open the possibility that
positively compartmentalized individuals inflate their
self-reports of adjustment. Essentially, compartmentalization may reflect a tendency to bolster self-esteem and
mood by denying or isolating information that threatens feelings of self-worth or mood. This tendency may
be manifest in responses to self-report measures of psychological adjustment. Thus, some of the benefits that
are believed to be associated with compartmentalization—such as high self-esteem—may not reflect true
psychological adjustment. This perspective is supported
by results from the present studies showing that individuals with compartmentalized self-concept structures
tend to have self-esteem that is less stable than the selfesteem of integrative individuals.
NOTES
1. The Implicit Self-Evaluation Scale (ISES; Pelham & Hetts,
1999) and the Contingencies of Self-Worth Scale (CSWS; Crocker,
Luhtanen, Cooper, & Bouvrette, 2003) also were included in the present studies. The ISES was administered daily with the state selfesteem and daily events measures. The zero-order correlation between
evaluative organization and the person-mean on the ISES did not
reach conventional levels of significance for either Sample A (r = –.07,
ns) or Sample B (r = –.07, ns). Only participants in Sample B completed the CSWS in the first laboratory session. The correlation
between the CSWS composite score and evaluative organization
showed that individuals with compartmentalized self-concept structures reported more contingent self-esteem, r(136) = .20, p < .05.
2. It was surprising to find that even though participants in Sample
A were assessed more often than participants in Sample B (twice per day
for 14 days vs. once per day for 7 days), participants in Sample A
reported less stable self-esteem (i.e., a greater standard deviation) than
the participants in Sample B. One possible explanation is that the longer
diary period for Sample A (which also included more weekend days)
increased the likelihood that extreme events or substantial changes in
self-esteem would occur. The variability of evaluative organization,
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differential importance, proportion of negative attributes, and trait selfesteem was not significantly different across samples, Levene’s Fs(1,
225) < .74, ps > .39.
3. Because of the conceptual overlap between these findings and the
predictions that would stem from a self-complexity model (Linville,
1985, 1987), the daily events analyses were repeated with terms testing
the effects of self-complexity (as assessed by Linville’s original measure,
Scott’s H) and its interactions with positive and negative events. No
effects involving self-complexity were significant and including these
terms did not change the significant effects for phi that are reported here.
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Received February 21, 2006
Revision accepted July 27, 2006
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