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A relational uncertainty analysis of jealousy, trust, and maintenance in long‐distance versus geographically close relationships

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Abstract

This study uses an uncertainty framework to uncover the patterns of relationships between uncertainty, jealousy, maintenance, and trust in two types of long‐distance relationships (LDRs; both those without face‐to‐face contact and those with some face‐to‐face contact) and geographically close relationships (GCRs). Data were collected from 311 individuals. Results supported the hypothesized relationships, with relational uncertainty positively related to cognitive and emotional jealousy, negatively related to five maintenance behaviors, and negatively related to trust. Counter to predictions, individuals in GCRs did not experience less relational uncertainty than individuals in LDRs with some face‐to‐face contact, but those in LDRs with some face‐to‐face contact were significantly more certain of their relationships than were those in LDRs without face‐to‐face contact. Finally, individuals in long‐distance relationships with no face‐to‐face interaction were significantly less likely to use the maintenance behaviors of assurances or sharing tasks, and expressed significantly less trust than individuals in long‐distance relationships with some face‐to‐face interaction.
A Relational Uncertainty Analysis
of Jealousy, Trust, and Maintenance
in Long-Distance versus Geographically
Close Relationships
Marianne Dainton and Brooks Aylor
This study uses an uncertainty framework to uncover the patterns of relationships
between uncertainty, jealousy, maintenance, and trust in two types of long-distance
relationships (LDRs; both those without face-to-face contact and those with some
face-tO'face contact) and geographically close relationships (GCRs). Data were
collected
from 311 individuals. Results supported the hypothesized relationships,
with relational uncertainty positively related to cognitive and emotional jealousy,
negatively related to five maintenance behaviors, and negatively related to trust.
Counter to predictions, individuals in GCRs did not experience less relational
uncertainty than individuals in LDRs with some
face-to-face
contact, but those in
LDRs with some face-to-face contact were significantly more certain of their
relationships than were those in LDRs without face-to-face contact. Finally,
individuals in long-distance relationships with no face-to-face interaction were
significantly less likely to use the maintenance behaviors of assurances or sharing
tasks, and expressed significantly less trust than individuals in long-distance
relationships with some face-to-face interaction.
KEY CONCEPTS jealousy, trust, relational maintenance, uncertainty, long-
distance relationships
Marianne Dainton (Ph.D., The Ohio State University, 1994) is an Associate
Professor, Department of Communication, La Salle University, Philadelphia,
PA 19141-1199. Brooks Aylor (Ph.D., University of Arizona, 1998) is an
Assistant Professor of Communication, La Salle University, Philadelphia, PA
19141.
The authors would like to thank two anonymous reviewers for their
considerable advice on this article. In addition, they would like to thank Kory
Floyd for advice with data analysis; lenna Katits for data entry; and the
students of Communication 316 during Fall, 1999 for assistance with data
collection.
R
ecently, scholars have turned their attention to the processes that foster the
success of long-distance relationships (LDRs). Such a concern seems
warranted, since between 25% and 40% of all romantic relationships among
Communication Quarterly,
Vol.
49 No
2
Spring
2001.
Pages 172-188
college students are long distance (Dellmann-Jenkins, Bernard-Paolucci, & Rushing,
1993).
Moreover, changes in technology and the workplace have contributed to the
growth of commuter marriages, and other sorts of distance relationships (Armour,
1998).
Accordingly, an understanding of the means by which these relationships might
be maintained is of practical value. This manuscript provides a theoretical rationale
grounded in an uncertainty framework by which long-distance relationships and
geographically close relationships (GCRs) might vary. Specifically, we propose that
relational uncertainty can be linked in predicted ways with experiences of jealousy, the
use of maintenance behaviors, and relational trust; that individuals in LDRs
experience greater relational uncertainty due to the physical distance; and that this
heightened relational uncertainty among those in LDRs will lead to increased jealousy,
decreased use of maintenance behaviors, and decreased relational trust when
compared to individuals in GCRs.
Conceptual Frame
Although uncertainty reduction theory is most often considered a theory of
relational development, the theory is also applicable to established relationships (see
e.g., Planalp & Honeycutt, 1985; Planalp, Rutherford, & Honeycutt, 1988). In short,
uncertainty reduction theory (URT) suggests that in order for relationships to be
maintained, relational partners must manage their uncertainty by constantly
updating their knowledge of themselves, their partners, and their relationship (Berger
& Bradac, 1982). This presumption is born out by research, which has established that
uncertainty levels are in flux throughout the lifespan of a relationship (Planalp &
Honeycutt, 1985; Planalp et al., 1988).
Nevertheless, it is likely that the nature of uncertainty changes in established
versus new relationships. Rather than experiencing general uncertainty, or
uncertainty about the partner, individuals in established relationsliips are likely to
experience
relational
uncertainty. Relational uncertainty is uncertainty about the
status or future of the relationship (AfiB & Reichert, 1996; Ficara & Mongoau, 2000;
Knobloch & Solomon, 1999). Research supports the assertion that relational
uncertainty is distinct from partner uncertainty (Ficara & Mongeau, 2000). Further,
uncertainty about the relationship may be particularly detrimental to relational
stability (Berger, 1987).
An uncertainty framework considers relational uncertainty to be a fundamental
attribute of the relational experience. Moreover, it is assumed that relational
uncertainty will affect other variables in predictable ways. For example, Planalp and
Honeycutt (1985) argued that uncertainty in established relationships might affect
beliefs about the relationship, emotions, and communication. In the present study,
relational uncertainty is presumed to be the underlying mechanism for linking three
variables representing each of the categories identified by Planalp and Honeycutt:
trust (a relationship variable), jealousy (an emotion), and maintenance behaviors
(communication). For a visual representation of the theoretical relationships between
these variables, see Figure 1.
The proposed theoretical relationships are supported by previous research. First,
uncertainty about the relationship is at the core of the experience of jealousy, with
individuals experiencing higher levels of relational uncertainty more likely to
experience jealousy (Afifi & Reichert, 1996). Second, maintenance strategies
themselves might serve as a means for uncertainty reduction. For example, one way
FIGURE 1
Relationships Between Uncertainty, Jealousy, Maintenance, and Trust
Relational
UncertaintyMaintenance
to reduce uncertainty is through self-disclosure, which has also been identified as a
relational maintenance strategy (Berger & Kellermann, 1983; Stafford & Canary,
1991).
Similarly, assuring communication-saying things such as "I love you" and
emphasizing the future of the relationship—is also both an uncertainty reduction
strategy and a maintenance strategy. In support of this assertion, Ficara and Mongeau
(2000) found that relational uncertainty was negatively associated with three
maintenance strategies: openness, assurances, and positivity. Finally, a number of
scholars have established the link between relational uncertainty and trust, such that
the presence of uncertainty decreases trust (Holmes & Rempel, 1987; Planalp et al
1988).
Given the theoretical relationships among these variables, as well as previous
research support for these relationships, the first hypothesis is offered:
HI:
Relational uncertainty will be positively associated with jealousy,
negatively associated with maintenance, and negatively associated
with trust.
Lo?ig-Distance Relationships
Knobloch and Solomon (1999) asserted that there were two potential sources for
relational uncertainty; extrinsic factors, such as physical distance, and intrinsic
factors, such as unequal levels of commitment between the partners. Providing more
detail, Ficara and Mongeau (2000) found seven specific sources of relational
uncertainty: stage uncertainty, physical distance, personal distance, conflict, rival
174Dainton and Aylor
partners, sex, and sexual transgressions. Finally, Emmers and Canary (1996) found
that physical distance was an uncertainty-inducing event. Together, these studies
suggest that although uncertainty is likely to occur in all established relationships, it
may
be
even more likely in
LDRs,
as physical distance is a common source of relational
uncertainty. Indeed, according to Berger and Bradac, "Nowhere is the necessity for
uncertainty reduction in ongoing relationships more apparent than in situations
where relational partners spend considerable amounts of time away from each other"
(1982,
p. 13).
Given the likelihood that greater distance increases relational uncertainty, GCRs
are likely to be different than
LDRs.
However, it might further be true that not all long-
distance relationships are the same. Too often, those studying distance relationships
have examined LDRs as a homogeneous relational type (Sahlstein, 1999). That is, few
studies have examined specific forms of LDRs and the relational characteristics that
differentiate one distance relationship from another. An exception is the work of
Dainton and Aylor (in press). Focusing on channels of communication, these authors
proposed that although all distance relationships, by definition, provide limited face-
to-face contact, it is likely that those who experience periodic visits with tbeir partner
may communicate differently than those with no face-to-face contact. Indeed, using
an uncertainty framework, the lack of face-to-face contact is likely to engender even
greater relational uncertainty than mere distance alone.
Providing support for the distinction between the two types of LDRs, Holt and
Stone (1988) found that LDRs with fewer than one visit per month experienced lower
satisfaction than other relational types. Regarding differences in communication,
Dainton and Aylor (in press) found differences in the use of maintenance strategies
and perceptions of relational success when comparing individuals in LDRs who
reported no face-to-face contact during an average week with those experiencing
some face-to-face interaction. Specifically, those experiencing periodic face-to-face
interaction used three of five maintenance strategies (positivity, assurances, and
sharing tasks) significantly more often than those who experienced no face-to-face
contact.
To summarize, physical distance is a significant contributor to relational
uncertainty (Emmers
&
Canary, 1996; Ficara
&
Mongeau, 2000; Knobloch
&
Solomon,
1999).
This would suggest that there should be differences in the relational uncertainty
of those in GCRs versus LDRs. Further, differences in the quality and communication
of LDR relationships with no face-to-face interaction versus LDRs with some face-to-
face interaction suggests that within LDRs there are variations that might be traced to
relational uncertainty. This leads to our second hypothesis:
H2:
Individuals in LDRs with no face-to-face interaction will report the
greatest relational uncertainty; individuals in GCRs will report the least
relational uncertainty.
jealousy
Romantic jealousy is defined as the reaction to a perceived threat to the exclusive
romantic nature of the relationship (Bringle & Boebinger, 1990). Jealousy is usually
regarded as multidimensional, consisting of cognitive, emotional, and behavioral
elements (Pfeiffer & Wong, 1989). Cognitive jealousy refers to suspicious thoughts or
worries about a perceived relational threat, whereas emotional jealousy refers to
LDRs 175
feelings of anger, fear, and insecurity related to the threat (Pfeiffer & Wong, 1989).
Finally, behavioral jealousy refers to communication of thoughts or feelings of jealousy
(Pfeiffer
&
Wong, 1989). Both cognitive and emotional jealousy are considered part of
the jealousy
experience,
whereas behavioral jealousy may be better conceptualized as
jealousy expression (Guerrero, Eloy, Jorgensen, & Anderson, 1993). Accordingly,
cognitive and emotional jealousy will be used to represent the jealousy experience in
this manuscript.
There are reasons to suspect that the experience of jealousy might differ for those
in LDRs and
GCRs.
First, Afifi and Reichert (1996) found positive associations between
partners' relational uncertainty levels and their jealousy experience. Recall that Berger
and Bradac (1982) argued that those in LDRs were more likely to experience
uncertainty than do those in GCRs. This argument is supported by research that
suggests that physical distance is a factor influencing relational uncertainty (Emmers
& Canary, 1996; Ficara & Mongeau, 2000; Knobloch & Solomon, 1999). Accordingly,
the geographic separation and limited face-to-face contact characteristic of LDRs
should increase the uncertainty levels of those in distance relationships, and thus
increase their jealousy experience.
In addition to the LDR and GCR distinction, it is possible that partners in different
types of LDRs experience differing levels of jealousy. Dainton and Aylor (in press)
argued that LDRs that include periodic face-to-face contact are both qualitatively and
quantitatively different from those LDRs without periodic face-to-face contact. Such
differences might hold true for the experience of jealousy, as the increased relational
uncertainty associated with the lack of contact is likely to increase jealousy (Afifi &
Reichert, 1996). In particular, the lack of interaction might increase jealous rumination
(Carson & Cupach, 2000). Rumination is defined as "thoughts that are conscious,
recurrent, instru men tally oriented, and not demanded by the immediate
environment" (Martin
&
Tesser, 1996, p.
21).
Thus, the following hypothesis examines
differences in jealousy experience among those in LDRs and GCRs, as well as
differences in the jealousy experience between the two types of LDRs.
H3:
Individuals in GCRs will report the least cognitive and emotional
jealousy, and individuals in LDRs with no face-to-face contact will
report the most cognitive and emotional jealousy.
Relationship Maintenance
Relationship maintenance refers to efforts to keep a relationship in a specified
state or condiHon (Dindia & Canary, 1993). Most research has used satisfaction as the
dependent variable, but other variables identified as salient include conunitment,
love,
and trust (Dindia, 2000). Although several typologies of maintenance behaviors
exist (see Dindia, 2000), the most frequently used is that of Stafford and Canary (1991).
Through factor analysis, Stafford and Canary uncovered five maintenance
techniques: positivity (behaving in a cheerful and optimistic manner), openness
(self-
disclosure and direct discussion of the relationship), assurances (messages stressing
commitment to the partner and relationship), social networks (relying upon con:imon
friends and affiliations), and sharing tasks (equal responsibility for accomplishing
tasks that face the couple). Results of a program of research indicate that these
behaviors are consistent and strong predictors of relational characteristics such as
satisfaction, commitment, and trust (Canary & Stafford, 1992, 1993; Stafford &
176 Dainton and Aylor
Canary, 1991). . . . ;
Very little research has directly focused on the means by which LDRs are
maintained. An exception is the research of Dainton and Kilmer (1999), who explored
differences in the expectations of partners in LDRs versus GCRs regarding the use of
maintenance behaviors, and whether these expectations were met. That is, these
authors examined partners' expectations of what should happen in a relationship as
opposed to what they actually did in the relationship. Dainton and Kilmer (1999)
found that individuals in LDRs and GCRs had similar expectations regarding the use
of maintenance behaviors, but that individuals in LDRs had their expectations for
maintenance behaviors fulfilled to a greater extent than did those in GCRs. This would
imply that those in long-distance relationships might actually be performing more
maintenance behaviors, despite potential limitations in face-to-face interaction. This
would be counter to an uncertainty framework, as the presumed greater uncertainty
of those in long-distance relationships should inhibit the use of maintenance behaviors
(see Ficara & Mongeau, 2000). Recall that Dainton and Kilmer (1999) did not directly
test whether expectancy fulfillment was a result of these individuals actually
performing more maintenance, however. Their results may be a function of cognitive
dist<irtion. Indeed, in support of an uncertainty explanation of relational maintenance,
Dainton and Aylor (in press) found that individuals in LDRs with some face-to-face
contact performed more relational maintenance than did individuals in LDRs with no
face-to-face interaction.
Accordingly, at question is whether those in differing types of LDRs and GCRs
actually perform maintenance behaviors with the same frequency. An uncertainty
framework would suggest that individuals in LDRs —especially those with little to no
face-to-face contact—might experience more relational uncertainty due to the
physical distance (Ficara & Mongeau, 2000; Knobloch & Solomon, 1999). This
increased uncertainty would in turn be associated with those in such LDRs performing
fewer maintenance behaviors (Ficara & Mongeau, 2000). Moreover, the relationship
between physical distance and uncertainty would also suggest that those in GCRs
might experience less relational uncertainty, and therefore they would perform more
relational maintenance. Accordingly, the next research hypothesis is offered:
H4:
Individuals in GCRs will report the most use of maintenance behaviors,
and individuals in LDRs with no face-to-face contact will report the
least use of maintenance behaviors.
Trust
The final variable of concern is trust. Relational trust refers to the expectation that
a partner can be relied upon to behave in a responsive and benevolent manner
(Rempel, Holmes, & Zanna, 1985). Although research indicates that trust is crucial to
relational quality, relatively little research has directly addressed trust in close
relationships (Couch & Jones, 1997). This is surprising, as trust seems to be a crucial
element in the maintenance of relationships, particularly for those involved in LDRs
(Westefeld & Liddell, 1982).
From an uncertainty framework, increases in relational uncertainty are associated
with decreases in trust (Planalp & Honeycutt, 1985). Accordingly, assuming that
individuals in LDRs experience greater relational uncertainty, they should also
experience less trust than individuals in GCRs. Only one study to date has actually
LDRs 177
compared trust levels among individuals in LDRs and GCRs, however. Guldner and
Swensen (1995) found no significant differences in the level of trust between the two
groups. However, they adnut that their measure of trust did not demonstrate stability,
and accordingly "one should interpret these scales with caution" (Guldner
&
Swensen,
1995,
p. 317).
Moreover, research to date has not considered variations in LDR types. Since we
know that uncertainty is negatively associated with trust, and since physical distance
is associated with increased relational uncertainty, then an uncertainty framework
would lead us to suspect variations in trust among those in GCRs and those in both
types of
LDRs.
This leads to our final hypothesis:
H5:
Individuals in GCRs will report the greatest trust, and individuals in
LDRs with no face-to-face contact will report the least trust.
METHOD
A total of 334 participants were recruited via two methods. First, students taking
a freshmen year experience course at a small, private university were solicited in class
to fill out a questionnaire (N = 132). Second, students in an undergraduate
communication research class recruited participants (N = 202) through network
sampling.' Specifically, as part of a class research project, each student was asked to
distribute questionnaires to 10 individuals currently in a romantic relationship.
Attached to the questionnaire was an envelope; after filling out the questionnaire,
respondents sealed the survey in the envelope and either returned it to the student
(who gave the sealed envelope to the instructor) or mailed it directly to the course
instructor. Respondents were assured of complete confidentiality. Participants were
asked to provide contact information for verification purposes (home phone number),
and the authors contacted one-third of the participants to further assure the integrity
of the data.
Results are based on 311 participants; 23 participants were dropped from the
study because they were married. Previous research has indicated that dating
individuals experience more cognitive and emotional jealousy than do married
individuals (Guerrero et al., 1993); married individuals use different maintenance
strategies than do dating individuals (Dainton & Stafford, 1993); and that married
individuals experience different levels of trust than do dating individuals (Guerrero
& Andersen, 1998). Accordingly, it was deemed inappropriate to include the married
individuals in this study.
The average age of the respondents was 20.28, with a range from 17 to 39 (SD =
2.99). There were 135 males and 176 females. Approximately 86% of the sample (n =
268) were white, 4.5% were black (n = 14), 3.3% were Hispanic (n = 10), 2.6% were
Asian/Pacific Islander (n = 8), and 3.2% indicated "other" (n = 10). Regarding year in
school,
31.8%
were first-year students (n
=
99),
12.2%
were sophomores (n
=
38), 20.6%
were juniors (n =
64),
27%
were seniors (n =
84),
and 8.4% were not currently students
(n = 26). The average length of the relationship was 18.8 months (i.e., 1.6 years; range
= 1 month to 11.5 years). Regarding relational type,
23.5%
were casually dating (n =
73),
71.7%
were seriously dating (n
=
223),
4.2%
were engaged (n
=
13),
and two people
failed to indicate relational type.
Researchers have debated the most effective manner in which to conceptualize
long-distance relationships. Although some past research has used miles apart to
Dainton and Aylor
categorize LDRs, Dellmann-Jenkins et. al (1993) argue that a more valid approach is
to allow respondents to self-define whether their relationship is long distance. A
number of researchers concur, including Ficara and Mongeau, 2000; Guldner and
Swensen,
1995;
and Maguire,
1999.
This research assumes that individuals' definitions
of their own relationships are salient to their experiences. Additionally, "miles
separated" standards have varied greatly across studies, potentially resulting in very
different outcomes in LDR research. Consistent with a self-defining approach, in the
current study participants responded to tbe question "Would you consider your
current romantic relationship to be a long-distance relationship (for this study, a long-
distance relationship is one in which you cannot see your partner, face-to-face, most
days)?"
Those who answered this question affirmatively in the current study (n = 113)
were considered to be in LDRs. Of the total sample, 37 people identified themselves as
being in LDRs in which there was no face-to-face contact in typical week, 73 people
identified themselves as being in LDRs with some face-to-face contact (M = 1.7 times
per week, SD
=
.47), 3 people were in LDRs but failed to identify the frequency of their
face-to-face interaction, and 196 people were in GCRs. Two people failed to identify
whether they were in a long-distance relationship or not.
Instrumentation
Relational Uncertainty. Because relational uncertainty
is
defined
as
uncertainty
about the status
or
future
of
the relationship (Afifi & Reichert, 1996; Ficara & Mongeau,
2000;
Knobloch
&
Solomon, 1999),
in the
present study relational uncertainty
was
measured
by two
items. Specifically, using
a
7-point Likert scale wherein
1=
strongly
disagree
and
7 = strongly agree, respondents were asked:
"I
think
it is
unlikely that this
relationship will
end in the
future,"
and "I
think
my
relationship with
my
partner
is
very stable." Responses were subsequently reverse-scored, so that higher scores would
indicate greater relational uncertainty. Alpha reliability
for the
measure
was .80 (M =
2.67,
SD =
.22).
As a means
for
providing construct validity
for
this measure,
it was
predicted that
individuals
in
casually dating relationships should report greater relational
uncertainty than individuals
in
seriously dating
or
engaged relationships
(see
Ficara
& Mongeau, 2000).
An
ANOVA provided support
for
this prediction
[F
(2,306)
=
50.70,
p
< .001
J.
Tukey B tests
of
comparison indicated that casually dating individuals
(M =
8.23,
SD
=
3.44)
reported significantly greater uncertainty than seriously dating
(M =
4.52,
SD =
2.65)
or
engaged
(M =
3.15,
SD = 2.4)
individuals.
Maintenance.
The
scale first developed
by
Stafford
and
Canary (1991)
and
subsequently revised
by
Canary
and
Stafford (1992)
was
used.
For
each
of the
five
maintenance categories described earlier, respondents indicated
how
often they
had
performed
the
behaviors
in the
last
two
weeks using
a
7-point Likert scale.
Respondents were instructed
to
only report those behaviors they have done recently,
and
to not
report things they once
did but
have
not
done lately.
The
five maintenance
categories were positivity
(a
=
.83,
M =
5.8,
SD
=
1.4),
openness
(a
=
.84,
M =
5.6,
SD =
1.2), assurances
(a
=
.85,
M
=
5.8,
SD
=
1.3),
social networks
(a
= .86,
M =
5.2, SD
= 1.8),
and shared tasks
[a
=
.73,
M =
5.5,
SD
=
1.4).
Experience of jealousy. Guerrero
et al.'s
(1993) modification
of
Pfeiffer
and
Wong's
(1989) emotional jealousy scale
was
used
(a
=
.91,
M =
2.51,
SD =
.82),
as was
Pfeiffer
and Wong's (1989) cognitive jealousy scale
[a
=
.91,
M =
2.73,
SD
=
.63). The cognitive
jealousy scale taps into suspicious thoughts,
and
includes items such
as "I am
worried
.DRs
179
that some member of the opposite sex may be chasing after my partner," and "I suspect
that my partner may be attracted to someone else." The emotional jealousy scale
focuses on feelings about jealousy threats, and includes items such as "It angers me
when members of the opposite sex try to get close to my partner," and "I feel anxious
when my partner shows a great deal of attention to someone of the opposite sex."
Trust. The short version of Larzelere and Huston's (1980) measure of trust was
used in the current study (or = .87, M
=
6.0, SD = .78). The short version includes the
following items: "My partner is perfectly honest and truthful with me," "My partner
treats me fairly and justly," "I feel that I can trust my partner completely," and "I feel
that my partner can be counted on to help me."
RESULTS
The first hypothesis predicted that relational uncertainty would be positively
related to jealousy, negatively related to the use of maintenance, and negatively
related to reported trust. Pearson correlations were computed, and the hypothesis was
supported; there were significant correlations between the variables in the predicted
fashion, and most of these correlations were moderately strong. Results are reported
in Table 1.
TABLE 1
Correlations Between Relational Uncerminlv. Jealousv. Maintenance,
and
Trust
Cog. Jeal
EmoJeal
Positivity
Open.
Assur.
Network
Tasks
Tnjst
Uncerl.
.51***
.23***
-.42***
-.26***
-.68***
-.23***
-.36***
-.67***
Cog.
Jealousy
.58***
-.22***
-.12*
-.31***
-.19***
-.12*
-.61***
Emo.
Jealousy
-.22***
-.10
-.09
-.21***
-.11
-.37***
Positivity
.24***
.38***
.42***
.31***
.43***
Open.
.57***
.08
.31***
.16**
Assur.
.45***
42***
Network
.41***
.31***
Tasks
.31***
Specifically, relational uncertainty
was
significantly, positively associated with
both measures
of
jealousy,
was
significantly, negatively associated with
the
five
maintenance behaviors,
and was
significantly, negatively associated with trust.
Further, although
not
hypothesized,
the
other relationships
in the
model proposed
in
Figure
1
between jealousy, maintenance,
and
trust were also
as the
model would
predict. That is, jealousy
and
maintenance were significantly, negatively correlated,
maintenance and trust were significantly, positively correlated, and jealousy and trust
were significantly, negatively correlated.
As
a
further test
of the
relationships between these variables,
the
jealousy,
maintenance,
and
trust measures were regressed
on
relational uncertainty. Because
there
is no
theoretical reason
to
suspect that
any one of
these variables would
be a
better predictor than any
of
the others,
a
forced entry was used. Results indicated that
all three classes
of
variables contributed
to
relational uncertainty
[F
(8, 284)
=
70.42,
p
<
.001],
with
an
adjusted R^
of
.66. Significant contributors included assurances
(^ =
-.54),
trust
(^ =
-.36), openness (/?
=
.16),
and
cognitive jealousy (j8
=
.18).
The second through fifth hypotheses predicted differences among
the
three
180
Dainton and Aylor
groups—LDRs with no face-to-face interaction, LDRs with some face-to-face
interaction, and GCRs—in their reported relational uncertainty, jealousy, use of
maintenance behaviors, and trust. Specifically, we predicted that relative to the other
groups, individuals in LDRs with no face-to-face interaction would report
experiencing significantly higher relational uncertainty, significantly more cognitive
and emotional jealousy, that they would report significantly less use of maintenance
behaviors, and that they would report significantly less trust. At the same time, we
predicted that relative to the other groups, individuals in GCRs would report
experiencing significantly less relational uncertainty, significantly less cognitive and
emotional jealousy, that they would report significantly greater use of maintenance
behaviors, and that they would report significantly more trust.
These hypotheses were tested using a series of planned linear contrasts. For the
tests of relational uncertainty and jealousy, LDRs with no face-to-face interaction were
assigned a contrast weight of 1, LDRs with some FTF were assigned a contrast weight
of 0, and GCRs were assigned a contrast weight of
-1.
These weights were reversed to
test the use of maintenance and trust, so that LDRs with no face-to-face interaction
received a
-1,
LDRs with some face-to-face interaction received a 0, and GCRs received
al.
The hypotheses were only partially supported. Specifically, hypothesis 2 centered
on differences among the groups on relational uncertainty. An ANOVA indicated a
significant difference between the three relational types [F [2, 303) = 3.70, p
<
.05, fj^ =
.02].
However, the contrast was nonsignificant [t (303) = -1.70, p = .09]. Tukey B tests
of comparison revealed that, as predicted, individuals in LDRs with no face-to-face
contact experienced more relational uncertainty (M = 6.41, SD = 3.42) than did
individuals in LDRs with some face-to-face interaction (M =
4.64,
SD
=
2.80). However,
those in GCRs were not significantly different than the other two groups (M =
5.41,
SD
= 3.38).
Hypothesis 3 centered on differences among the groups on cognitive and
emotional jealousy. ANOVAs failed to detect a difference among the groups on
cognitive jealousy [F (2, 301) = 2.92, p = .06] or emotional jealousy [F (2, 299) = 0.43, p
= .65]. The contrasts were also nonsignificant: for cognitive jealousy [t (301) = 1.73, p
= .09], and for emotional jealousy [t (299) =
-.51,
;' = .61].
Hypothesis 4 centered on differences among the groups on the use of maintenance
behaviors. A MANOVA provided partial support for this hypothesis [Wilks'
A
= .92, F
(10,
574) = 2.43, p < .05. rj- = .05]. Univariate tests indicated that the groups were
significantly different in their use of assurances [F (2, 291) = 3.34, p
<
.05, if = .02] and
sharing tasks [F (2,291) =
4.63,
p <
.01,
Tj^
=
.03].
However, only one of the contrasts was
significant-the contrast for the use of sharing tasks |/ (300) = 2.41, /' = .02]. Results of
the other contrasts were as follows; positivity [t (296) =
1.30,/)
= .20], openness {t (297)
= 0.37, p
=
.71], assurances [t (301) = 0.58, p
=
.57], and network [t (300) = 1.79, p
=
.07].
Tukey B tests of difference indicated that, as predicted, individuals in LDRs with
no face-to-face interaction reported the least use of assurances (M = 21.89, SD
=
5.71),
which was significantly less than individuals in LDRs with some face-to-face
interaction (M = 24.64, SD
=
4.89). However, counter to the prediction, individuals in
GCRs did not use significantly more assurances than either of the LDR groups (M =
22.77,
SD = 6.13).
A similar pattern was found for sharing tasks. Those in LDRs with no face-to-face
contact reported significantly less use of this behavior than the other two groups (M
LDRs 181
=
9.91,
SD = 3.20). However, there were no differences in the use of sharing tasks in the
GCR {M = 11.08, SD = 2.53) or LDR with face-to-face groups (M = 11.44, SD = 2.31).
Accordingly, hypothesis four was only partially supported; individuals in LDRs with
no face-to-face interaction did indeed use significantly less maintenance, but
individuals in GCRs did not use significantly more maintenance.
The final hypothesis predicted differences among the groups in trust. An ANOVA
indicated significant differences between the groups [F (2,303) = 4.36, p
<
.05,
Tf^
=
.03],
but again, the contrast was nonsignificant [t (303) =
.07,
p
=
.95]. Indeed, a Tukey B test
of difference found that individuals in LDRs with some face-to-face interaction (M =
25.26,
SD = 3.53) reported significantly higher trust than the other two groups (LDRs
with no face-to-face interaction M = 23.30, SD = 3.84; GCR M = 23.36, SD = 5.38).
Accordingly, this hypothesis was not supported.
DISCUSSION
The present study provides both good news and bad news for the uncertainty
framework articulated in this paper. On the positive side, the results of the tests of the
first hypothesis provide support for the theoretical links between relational
uncertainty, jealousy, maintenance, and trust described in Figure 1. In fact, although
the negative correlations between jealousy and maintenance were predicted, this is the
first test to date to actually support that theoretical link.
Not only were the correlations in tbe predicted directions, but the relationships
were generally substantial; the smallest correlations were .23 (between uncertainty
and emotional jealousy) and -.23 (between uncertainty and networks). Two
correlations were relatively strong. Uncertainty and trust were correlated at -.67, and
uncertainty and assurances were correlated at
-.68.
Finally, a substantial amount of the
variance in relational uncertainty —66%—was explained by four variables:
assurances (a negative predictor), trust (a negative predictor), openness (a positive
predictor), and cognitive jealousy (a positive predictor).
The extent to which relational uncertainty is associated with jealousy,
maintenance, and trust, and particularly to the four variables that entered the
regression equation, both supports and extends previous research. First, it is not
surprising that the use of assurances is a negative predictor of relational uncertainty.
By definition, relational assurances are efforts to reassure the partner about the
individual's commitment to the relationship (Stafford & Canary, 1991). Scale items
operationalizing assurances include statements such as "I have stressed my
commitment to my partner," and "I have implied that our relationship has a future,"
both of which directly speak to the stability and the future of the relationship (i.e.,
relational uncertainty). Conceptually, then, assurances reflect a direct means of
reducing relational uncertainty. Moreover, it is consistent with past research, which
has found a negative relationship between the use of assurances and relational
uncertainty (Ficara & Mongeau, 2000).
The potency of trust in predicting uncertainty is a bit more novel. Traditional
means for uncertainty reduction include passive, active, and interactive strategies
(e.g., Berger & Bradac, 1982). Trust does not clearly fit into any of these categories.
However, Emmers and Canary (1996) found that in established relationships, a fourth
strategy emerged, which they called "uncertainty acceptance." Among the examples
for this uncertainty response they included "trusting partner." However, Emmers and
Canary found that this class of responses was used relatively infrequently (10% to
13%
182 Dainton and Ayior
of the time), and that there was no evidence that uncertainty acceptance was any more
effective for relational repair than the traditional interactive, active, and passive
strategies. The present study confirms that trust may be a means for reducing
relational uncertainty. However, going beyond previous research, the results of the
present study suggest that trust may be a potent means for reducing relational
uncertainty, and should be considered an important uncertainty reduction strategy
for those in established relationships.
The relationship between openness and relational uncertainty is a bit more
puzzling. The Pearson correlation indicates a negative relationship between
uncertainty and openness, which would lead one to believe that openness might be a
means of uncertainty reduction. Indeed, this comports with previous research, which
suggests that direct discussions are an interactive means of reducing uncertainty (e.g.,
Berger & Bradac, 1982; Emmers & Canary, 1996). However, when entered into a
regression equation, openness emerged as a negative predictor of relational
uncertainty, suggesting that the more open an individual was, the more uncertain he
or she was. There are several explanations for this pattern. First, previous research has
established that in contrast to the predictions of URT, high levels of uncertainty in
established relationships inhibit direct communication (Afifi & Reichert, 1996;
Planalp et al., 1988). Accordingly, openness may not be the force for uncertainty
reduction in established relationships that it is in initial interactions. Further, the use
of the multiple regression procedure itself might explain the result; as Stafford and
Canary (1991) explain, once the variation due to reassuring communication is
removed (i.e., assurances), the remaining openness is likely to be either neutral or
negative in nature. Indeed, it is easy to imagine a scenario where a relational partner's
negative disclosures might increase an individual's relational uncertainty (e.g., a
partner discloses "I don't love you as much as I did.").
Finally, the extent to which the presence of cognitive jealousy predicted relational
uncertainty is consistent with previous research (Afifi & Reichert, 1996). Moreover, it
is not surprising that cognitive jealousy was associated with relational uncertainty to
a greater extent than was emotional jealousy. Recall that cognitive jealousy refers to
suspicious thoughts or worries about a perceived threat to the relationship (Pfeiffer &
Wong, 1989). The operationalization of relational uncertainty used in this study also
referred to an individual's thoughts about the stability and future of the relationship.
On the other hand, the measure of emotional stability references emotional responses
such as anger, anxiety, or envy. The variations in the experience of these emotions may
very well be due to things other than relational uncertainty alone, such as personality
or self-esteem (Salovey & Rodin, 1985).
Finally, in discussing the results of this regression equation, it should be noted that
a causal relationship between the aforementioned four variables (assurances,
openness, trust, and cognitive jealousy) and relational uncertainty cannot be made.
Although there are theoretical reasons to suspect that the use of assurances, for
example, might reduce relational uncertainty, it is also plausible that individuals with
little relational uncertainty might be more inclined to use assurances. Future research
should strive to uncover the causal links between these variables.
Continuing with the "good news," the present study provides further evidence
that not all LDRs are the same. The results of this study confirm that LDRs are not
homogeneous, and that the amount of time spent in face-to-face interaction can
successfully distinguish between LDR types (Dainton & Aylor, in press). The
LDRs 183
importance of this pattern of findings should be emphasized. Most examinations of
LDRs have considered distance relationships as a homogeneous relational type, and so
comparisons have been limited to GCRs versus LDRs. The current findings clearly
suggest that LDRs with periodic face-to-face contact are significantly different from
LDRs with no face-to-face contact. Moreover, LDRs with periodic face-to-face contact
were quite similar to GCRs. Clearly, then, future research seeking to explore the nature
of LDRs should include amount of face-to-face contact as a central variable.
Despite the importance of this distinction, however, the aforementioned results
also point to some "bad news" in the present study. Clearly, and in direct contradiction
of previous research (Emmers & Canary, 1996; Ficara & Mongeau, 2000; Knobloch &
Solomon, 1999), the physical distance did not lead to increased relational uncertainty
for individuals in LDRs with some face-to-face interaction. Of course, this might be an
artifact of our sample. It may be that we just happened to tap into a group of
individuals who were extremely well adjusted and who happened to have unusually
good relationships. Previous research sheds doubt on this likelihood, however. For
example, Stephen (1984) found that LDRs had a significantly higher rate of survival
over a two-year period than did GCRs. Stafford and Reske (1990) found similar results.
Moreover, research has found that individuals in LDRs report the same level of
satisfaction, trust, and commitment to their relationship as those in GCRs (e.g.,
Guldner & Swensen, 1995). Accordingly, the relational success of the LDRs with some
face-to-face interaction in our sample seems consistent with previous research.
Instead, it may be that the physical distance is somehow facilitative of relational
stability for those who occasionally see each other face-to-face, but that physical
distance combined with lack of face-to-face interaction does indeed increase relational
uncertainty, with correspondingly negative effects on the relationship .such as
increased jealousy and lack of trust.
Much of the previous work on LDRs has proposed that the relative satisfaction and
stability of LDRs might be a function of idealization (Dainton & Kilmer, 1999; Stafford
& Reske, 1990). Given that the present study used self-report methods, we cannot say
for certain that idealization is not the reason for the relatively high levels of relational
certainty, trust, and maintenance, and the relative lack of jealousy among those in
LDRs with some face-to-face interaction. However, it is puzzling that individuals in
LDRs without face-to-face interaction would not also experience such idealization.
After all, such relationships are even more "mental creations" than LDRs with
occasional face-to-face contact (Duck, 1986). Perhaps periodic interaction allows
idealization to be maintained. For example, partners might be on their "best behavior"
during infrequent visits, which would facilitate idealization (Stafford & Reske, 1990).
Simultaneously, it may be that a lack of face-to-face interaction engenders negative
relational rumination, which is associated with increased jealousy and decreased trust
(Carson & Cupach, 2000). Thai is, it may be that the negative ruminations might
supercede the tendency to idealize in LDRs with no face-to-face interaction. Future
research should assess the extent to which lack of face-to-face interaction might be
associated with idealization and rumination.
Turning back to the specific results of our study, hypotheses three, four, and five
predicted differences in the experience of jealousy, the use of maintenance behaviors,
and the experience of jealousy among those in LDRs with no face-to-face contact, LDRs
with some face-to-face contact, and those in GCRs. Regarding the use of maintenance,
results indicated that those in LDRs with no face-to-face contact were significantly less
184 Dainton and Aylor
likely to use assurances and sharing tasks as maintenance strategies than were
individuals in LDRs with some face-to-face interaction. The fact that individuals in
LDRs with no-face-to-face interaction used fewer assurances makes sense from a
relational uncertainty framework. Reassuring communication is strongly, negatively
associated with relational uncertainty (Fiacara & Mongeau, 2000). Becau.se
individuals in LDRs with no-face-to-face interaction experienced the greatest
relational uncertainty, it follows that they would also utilize the least amount of
assurances.
The difference in the use of sharing tasks also makes sense; although tasks can be
accomplished over distance, they are more likely to be completed when in proximity
to the partner. The fact that individuals in LDRs with some face-to-face contact did not
differ in the use of tasks from those in GCRs is a bit surprising, however. On the one
hand, it may be that sharing tasks is simply an infrequently used maintenance strategy,
so the differences in time spent together might not have an impact on the relative use
of the behavior. Yet, Dainton and Stafford (1993) found that sharing tasks is the most
frequently used routine maintenance behavior, which would suggest that this is not a
reasonable explanation. Indeed the mean score for sharing tasks in this sample (5.5 on
a scale of 1 to 7) suggests that this behavior was performed frequently. On the other
hand, it may be that, as suggested above, individuals in LDRs with some face-to-face
interaction are idealized regarding their relationship (Stafford & Reske, 1990). That is,
the "best behavior" that is enacted during periodic visits might include the cheerful
performance of instrumental tasks that might not be so cheerfully performed —or
performed at all—if the couple saw each other on a more regular basis.
There are several limitations of the present study. First, this sample was primarily
young and relatively homogeneous. Given the large percentage of college students in
distance relationships, however, one might argue that such a sample is appropriate for
the current study. Second, sci/-reports of jealousy, trust, and use of maintenance
behaviors were used in the current study. This is consistent with an uncertainty
framework; Zak, Gold, Ryckman, and Lenney (1998) found that an individual's
oii'}i
relational behaviors influenced trust more than did the partner's behavior. However,
Wieselquist, Rusbult, Foster, and Agnew^ (1999) have developed an interdependence
model of the associations between commitment, pro-relationship behavior, and trust.
These authors found support for their contention that perceived partner use of pro-
relational behavior accounts for more of the variance in trust than do self-reports of
behavior. Future research should seek to ascertain the interrelationships between
one's own trust, jealousy, and maintenance activities, as well as perceptions of the
partner's maintenance activities, in predicting relational uncertainty.
Finally, our measure of relational uncertainty focused on the stability and future
of the relationship. However, previous research has found that relational uncertainty
is multi-dimensional (Knobloch & Solomon, 1999). Additional elements of relational
uncertainty include behavioral norms (i.e., uncertainty about how to behave around
the partner) and mutuality (i.e., uncertainty about the extent to which relational
partners share the same degree of feelings). It would be of interest to determine if these
additional elements of relational uncertainty might affect the patterns of relationships
between uncertainty, jealousy, maintenance, and trust. For example, it may be that
individuals experiencing uncertainty about mutuality might experience more
jealousy than individuals who are simply uncertain about the future of their
relationship. Similarly, uncertainty about behavioral norms might inhibit the use of
LDRs 185
maintenance behaviors to a greater extent than uncertainty about relational stability
alone. Future research should explore these possibilities.
NOTE
'Tests were performed
to
determine if there were significant differences between the two samples.
Results indicate that the respondents solicited from freshmen classes weresignificantly younger
than those recruited by the research class IF
(1,
304) = 106.5, p
<
.001],
and that the freshmen
were in relationships of shorter duration than those recruited by the research class [F
(1,
294)
= 10.86,;;
<.OO1].
However, there were no differences in the two samples by sex
IX^
(1) = .53,
p =
.31],
race
[X^
(4) = 3.16, p
=
.53],
or in the number of individuals in LDRs versus GCRs [X^
(1) = 3.19, p
=
.07]. Accordingly, it was deemed appropriate to combine the samples.
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188 Dainton and Aylor
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... If the future of the relationship is uncertain, individuals might be less likely to invest because they would not want to put time, energy, and resources into a relationship that might not last. This can be seen in the multitude of studies showing inverse relationships between uncertainty and various types of relational communication (e.g., Knobloch & Solomon, 2005) and relational maintenance behaviors (Dainton & Aylor, 2001). Consequently, as uncertainty increases, investments in romantic relationships should decrease. ...
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... Long-distance marital relationships refer to intimate relationships between two couples who are married but do not live in the same house or in the same geographical area (Cameron & Ross, 2007;Dainton & Aylor, 2001, 2002Guldner & Svensen, 1995;Sahlstein, 2004;Stafford, 2005). Long-distance married couples are also often referred to as commuter marriages, which mean couples who live far apart but have a specific set of times to meet such as once a week or once a month (Bergen, 2010;Reuschke, 2010;Rhodes, 2002). ...
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Thesis
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Chapter
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