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This article was downloaded by: [University of Sheffield], [David Rast]On: 13 February 2015, At: 03:05Publisher: RoutledgeInforma Ltd Registered in England and Wales Registered Number: 1072954 Registeredoffice: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK
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Self and IdentityPublication details, including instructions for authors andsubscription information:http://www.tandfonline.com/loi/psai20
Prototypical Leaders Do Not AlwaysGet Our Support: Impact of Self-Uncertainty and Need for CognitionDavid E. Rast IIIa, Michael A. Hoggb & Jessica J. Tomoryb
a Institute of Work Psychology, The Management School,University of Sheffield, Sheffield, UKb Department of Behavioral and Organizational Sciences,Claremont Graduate University, Claremont, CA, USAPublished online: 29 Sep 2014.
To cite this article: David E. Rast III, Michael A. Hogg & Jessica J. Tomory (2015) PrototypicalLeaders Do Not Always Get Our Support: Impact of Self-Uncertainty and Need for Cognition, Selfand Identity, 14:2, 135-146, DOI: 10.1080/15298868.2014.964755
To link to this article: http://dx.doi.org/10.1080/15298868.2014.964755
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Prototypical Leaders Do Not Always Get OurSupport: Impact of Self-Uncertainty and Need for
Cognition
David E. Rast III1, Michael A. Hogg2, and Jessica J. Tomory2
1Institute of Work Psychology, The Management School, University of Sheffield,
Sheffield, UK2Department of Behavioral and Organizational Sciences, Claremont Graduate University,
Claremont, CA, USA
Social identity theory of leadership research confirms that followers prefer group prototypical tonon-prototypical leaders. Drawing on uncertainty–identity theory, we argue that self-uncertaintyinteracts with need for cognition (NC) to influence this preference. Student participants (N ¼ 100)reported their self-uncertainty and NC before evaluating a prospective prototypical or non-prototypical student leader. We reasoned that self-uncertainty is a cognitive demand causing low NCparticipants to use prototypicality as a leadership heuristic—uncertainty strengthens the leaderprototypicality advantage. In contrast, high NC participants rely less on prototypicality as aheuristic—uncertainty weakens the leader prototypicality advantage. These hypotheses weresupported—elevated uncertainty strengthened the leader prototypicality advantage when NC waslow, but weakened it when NC was high.
Keywords: Leadership; Uncertainty; Social identity; Prototypicality; Need for cognition.
Deciding to support a group leader is an important decision with significant consequences.
Many factors can influence leader support. Social identity theory of leadership research,
for example, confirms that followers prefer prototypical to non-prototypical leaders (for an
overview, see van Knippenberg, 2011). This advantage afforded to prototypical leaders,
however, can be strengthened (Pierro, Cicero, Bonaiuto, van Knippenberg, & Kruglanski,
2005) or weakened (Rast, Gaffney, Hogg, & Crisp, 2012) by situational factors such as
self-related uncertainty. One possible reason why self-uncertainty may differentially
strength or weaken the leader prototypicality advantage is that uncertainty is a cognitive
load (e.g., Proulx & Inzlicht, 2012) to which people respond differently based on their
motivation to process information (i.e., their need for cognition, NC). That is, followers’
leadership preference might be affected by their capacity and motivation to process
prototype-relevant information about their leader in times of heightened uncertainty. This
short article provides an initial examination of how these three factors (uncertainty, NC,
and leader prototypicality) interact to influence leader support.
q 2014 Taylor & Francis
Correspondence should be addressed to: David E. Rast III, Institute of Work Psychology, The Management
School, University of Sheffield, Conduit Road, Sheffield S10 1FL, UK. E-mail: [email protected]
Received 21 January 2014; accepted 8 September 2014; first published online 29 September 2014.
We would like to thank Jeremy Dawson for his statistical advice and feedback about probing three-way
interactions in moderated regression analyses.
Self and Identity, 2015
Vol. 14, No. 2, 135–146, http://dx.doi.org/10.1080/15298868.2014.964755
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Social Identity Theory of Leadership
Leadership and influence are inextricable. Those who are most influential in a group
usually occupy a leadership role, and the study of effective leadership rests on the social
psychology of effective influence in a group (Hogg, 2010). Because leadership research
over the past several decades has primarily been conducted in the organizational and
management sciences (Goethals, Sorenson, & Burns, 2004), this natural connection
between leadership research and the social psychology of influence within a group has
been decoupled. However, in recent years, this has changed—primarily due to the
influence of the social identity theory of leadership’s focus on leadership as a social
identity and group membership-based influence process (Hogg, 2001; Hogg & van
Knippenberg, 2003; Hogg, van Knippenberg, & Rast, 2012; see also Haslam, Reicher, &
Platow, 2011).
The social identity theory of leadership defines a group prototype as those beliefs,
attitudes, feelings, and behaviors that characterize a group and distinguish it from other
groups. It argues that as group membership becomes subjectively more important as a
basis of self-conception and identity, prototypical ingroup members are perceived as
increasingly more reliable sources than less-prototypical members of group- and social
identity-relevant information. This endows prototypical members with disproportionate
influence over the attitudes, identity, and behavior of other ingroup members—they thus
display leadership. Leader prototypicality refers to the extent to which a leader is
perceived to embody the defining attributes of the group and thus its corresponding social
identity (Hogg, 2001). This differs from other social-cognitive theories of leadership (e.g.,
leader categorization theory, Lord & Hall, 2003), which define leader prototypicality as
the degree to which a leader matches a global or more situation- and task-specific schema
or stereotype of effective leadership (e.g., people generally think masculine leader
attributes are superior to feminine leader attributes; see Koenig, Eagly, Mitchell, &
Ristikari, 2011).
The most basic hypothesis of the social identity theory of leadership is that when group
membership is salient, important, and central to self-definition, effective leadership
increasingly hinges on the extent to which other members consider the leader to be a
prototypical member of the group. Members assess the leader’s prototypicality and
support prototypical leaders more than less prototypical leaders, and view them as being
more effective. Numerous lab and field studies convincingly confirm this prediction (for
review, see Hogg et al., 2012; van Knippenberg, 2011).
The social identity theory of leadership is framed by social identity theory’s meta-
theory (Abrams & Hogg, 2010), and grounded in the cognitive focus of self-categorization
theory (Turner, Hogg, Oakes, Reicher, & Wetherell, 1987) and its analysis of identity-
based influence processes in groups (e.g., Abrams & Hogg, 1990; Hogg & Turner, 1987).
Despite these cognitive credentials (cf. Rosch, 1978; Turner, 1982; Turner, Oakes,
Haslam, &McGarty, 1994) of the social identity theory of leadership, cognition is rarely if
ever discussed in regards to leader prototypicality and leader preference (see van
Knippenberg (2011) for a comprehensive summary and example).
Self-Uncertainty and NC
In this article, we examine how self-uncertainty and NC moderate preferential support for
prototypical over non-prototypical leaders. Uncertainty–identity theory (Hogg, 2007,
2012) argues that feelings of uncertainty, particularly about or related to self-conception
and identity, are aversive and people are motivated to reduce such uncertainty. Identifying
D. E. Rast III et al.136
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more strongly with one’s group is an effective way of doing this because social
categorization of self and others depersonalizes attitudes, feelings, and behaviors around a
group’s prototype. Groups provide a social identity that renders self and others relatively
predictable, while providing a clear and prescriptive definition of attitudes, values,
boundaries, and behaviors for its members. It is through this cognitive-motivational
process that uncertainty is reduced. There is now substantial evidence for these processes,
and in particular that self-uncertainty strengthens group identification (for review, see
Hogg, 2007, 2012).
Research confirms that self-uncertainty moderates the relationship between leader
prototypicality and support. However, the nature of the moderation is unclear—findings
are inconsistent (for in-depth discussion that goes beyond the scope of the current article,
see Hogg et al., 2012; Rast, in press). For example, focusing on dispositional factors
associated with a desire to reduce uncertainty [i.e., need for cognitive closure (NCC)1],
Pierro et al. (2005) found that uncertainty strengthened preference for a prototypical
leader, amplifying the leadership advantage of being prototypical. Conversely, when
focusing directly on self-related uncertainty, Rast et al. (2012) found that increased
uncertainty weakened (and even negated) the leader prototypicality advantage.
This discrepancy suggests that the role of uncertainty in leadership support may itself
be moderated by some other variable. One possibility lies in how uncertainty impacts
cognitive capacity or is affected by people’s cognitive processing motivation. That is, the
effect of uncertainty on prototype-based leadership judgments might be affected by
people’s orientation towards cognition—the extent to which they enjoy and are
comfortable with expending cognitive effort or prefer to rely on heuristics. The NC
(Cacioppo & Petty, 1982; Petty, Brinol, Loersch, & McCaslin, 2009) may play a role.
However, as mentioned earlier, the cognitive-motivational aspect of the social identity
framework is relatively underexplored. Uncertainty–identity theory provides a possible
resolution to integrate persuasion research to help address this nexus. Self-uncertainty
makes group membership more self-definitionally important and thus redirects cognitive
resources from other activities onto evaluating self and group membership—people need
to spend disproportionately more cognitive effort on self-evaluation. This reasoning is
consistent with recent research demonstrating that uncertainty can impair or bottleneck
cognitive and neurological responses (Proulx & Inzlicht, 2012; Tullett et al., 2013).
In conjunction with the well-supported idea that people have limited cognitive processing
capacity (e.g., Miller, 1956), it is not implausible to assume that self-uncertainty is a
cognitive load (e.g., Tversky & Kahneman, 1974), and therefore it is experienced and
reacted to differently as a function of NC. That is, leadership preference should be affected
differently by followers’ motivation or desire to processes prototype-relevant information
(i.e., NC) in times of heightened uncertainty, which impairs their cognitive capacity.
People with high NC enjoy expending cognitive effort thinking about, processing, and
elaborating information in a systematic manner, whereas those with low NC prefer to
avoid expending cognitive effort in this way and instead prefer to come quickly to a
decision through reliance on heuristics. Given that self-uncertainty accentuates people’s
need for leadership to give direction to self-definition, (a) low NC would be expected to
encourage greater automatic reliance on how prototypical the leader is (cf. Pierro et al.’s
2005 finding), whereas (b) high NC would encourage less automatic reliance on how
prototypical the leader is, and more careful, deliberative and critical consideration of
prototype-related information to ascertain the group’s prototype (see Rast et al.’s 2012
finding).
This rationale is consistent with recent advances in the elaboration likelihood model
and metacognitive model of persuasion (Petty & Brinol, in press). Horcajo, Brinol, and
Leadership and Uncertainty 137
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Petty argued for and found that “source status affects persuasion by serving as a simple
peripheral validity cue under low-elaboration conditions, and by validating thoughts—a
metacognitive process—under high-elaboration conditions” (2012, p. 1). Followers are
likely to equally think about the merits of the leader regardless of his/her group
position, and are less likely to derogate the source/leader based on biased or
illegitimate reasons, such as the source’s group status (e.g., Tormala, DeSensi, & Petty,
2007). In short, when presented with a single leadership option, high NC followers
are likely to put more thought and effort into their leader preference decision, and
be relatively supportive of a prototypical and non-prototypical in heightened
uncertainty.
The Present Study
To test this general hypothesis, we conducted an experiment with three predictor
variables—we measured participants’ feelings of self-uncertainty and their NC, and used a
text-based vignette to manipulate leader prototypicality. The dependent variable was a
measure of how strongly participants would support their leader. Consistent with the social
identity theory of leadership and with previous research, we predicted (H1) a main effect
for leader prototypicality—participants would support the prototypical leader more than
the non-prototypical leader.
Our key novel prediction (H2) was that this effect would be moderated by the
interaction of self-uncertainty and NC, both of which have been shown to differentially
and independently impact judgments about group prototypes: the effect would be
accentuated by self-uncertainty among those low in NC (greater reliance on
prototypicality as a heuristic), mainly due to elevated support for a prototypical leader;
and attenuated by uncertainty among those high in NC (less reliance on prototypicality as a
heuristic), mainly due to depressed support for a prototypical leader.
Method
Participants and Design
Participants were 34 male and 57 female students (9 participants did not indicate their sex;
N ¼ 100; see the “Discussion” section for discussion of sample size) from a consortium of
five small liberal arts colleges in southern California. They ranged in age from 18 to 29
with a mean age of 20 years. The majority self-reported being Caucasian (n ¼ 51), Asian-
American (n ¼ 14), and Hispanic-American (n ¼ 11), with the rest falling into smaller
ethnic/racial categories. The research was introduced as a study of student evaluations of
student leader candidates for an on-campus, student–faculty liaison position. There were
three predictor variables: the NC and self-uncertainty were measured, and leader
prototypicality was manipulated (high vs low). The dependent variable was a multi-item
measure of leader support.
Procedure
Participants were recruited at a campus dining hall by a member of the research team and
asked to participate in a study regarding a student leader candidate for a student–faculty
liaison position. Those who agreed were provided with the experimental materials.
First, they rated how uncertain they felt—a six-item scale modified from previous
uncertainty–identity theory research (e.g., Hogg, 2007; Rast et al., 2012; Rast, Hogg, &
D. E. Rast III et al.138
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Giessner, 2013). Items included “How uncertain do you feel about the kind of person you
are?” and “How uncertain are you about your place in society as a whole?” (1 ¼ not very
much, 9 ¼ very much, a ¼ .79). Next, participants completed the standard 18-item NC
questionnaire (Cacioppo, Petty, & Kao, 1984). They responded to statements such as “I
prefer complex to simple problems” and “Thinking is not my idea of fun” (reverse-coded),
with 1 ¼ extremely uncharacteristic, 9 ¼ extremely characteristic, a ¼ .88.
Participants then read about and evaluated a student leader ostensibly to provide the
University’s Office of Career Services feedback about the type of student leader to be
selected for a newly created student–faculty liaison position at the university. Participants
were randomly assigned to read a statement from either a prototypical (78 words) or non-
prototypical (75 words) student leader candidate. The candidate was described as sharing
attributes with and being typical and representative of other students at the university, or as
not sharing so many attributes and being less typical of other students. This slighted
revised manipulation of leader prototypicality has been successfully used in previously
published research (for details, see Rast et al., 2012). After reading this short passage,
participants evaluated their support for the leader on seven items adapted from previous
research (Rast et al., 2012; Rast et al., 2013). They responded to statements such as “This
student will be a very effective student leader if selected for a leadership position” and
“I will be a strong supporter of this student, if he/she is elected for the leadership position,”
with 1 ¼ strongly disagree, 9 ¼ strongly agree, a ¼ .95.
Because the prototypicality manipulation has been successfully piloted and employed
in previously published research (see Rast et al., 2012), it was checked by only a single
item adapted from van Knippenberg and van Knippenberg’s (2005) leader prototypicality
scale: “this student leader is representative of a typical student at your college”
(1 ¼ strongly disagree, 9 ¼ strongly agree). Finally, participants provided demographic
information, and were then thanked and debriefed.
Results
There were three predictor variables (self-uncertainty and NC were measured, leader
prototypicality was manipulated), a prototypicality manipulation check, and one
dependent variable (a multi-item measure of support for the leader). Following Aiken
and West (1991), predictor variables were mean-centered, interaction terms were
calculated, and simple slopes analyses were conducted for significant interactions. Table 1
displays reliabilities, means, SDs and inter-correlations of these variables. Nine of the 100
participants failed to complete the questionnaire and were removed from the regression
analysis via listwise deletion.
TABLE 1 Reliabilities, Means, SDs, and Inter-Correlation of All Variables
Variable a M SD 2 3 4 5
1. Leader prototypicality – 1.51 .50 .10 .01 .22* .32**2. Uncertainty (six items) .79 3.64 1.47 – 2 .22* .18 .043. Need for cog (18 items) .88 6.25 1.11 – 2 .13 .084. Leader support (seven items) .95 4.95 1.73 – .49**5. Manip check (one item) – 5.26 2.34 –
Notes: Means (N ¼ 100) can take values between 1 and 9, with 9 indicating more of the propertydescribed, except for leader prototypicality, which is a binary variable with values of 1 (non-prototypical) and 2 (prototypical). * p , .05, **p , .01.
Leadership and Uncertainty 139
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Background Variables and Manipulation Checks
The regression of age, gender, ethnicity and other background variables revealed no
significant effects on leader support; these variables were excluded from subsequent
analyses. The regression of prototypicality, uncertainty, and NC onto the prototypicality
check revealed only one significant effect—for the prototypicality manipulation, b ¼ .32,
t(87) ¼ 3.16, p ¼ .002. The manipulation was effective and clean—the prototypical
leader was considered significantly more prototypical than the non-prototypical leader
(Ms ¼ 6.00 and 4.50).
Leader Support
Hierarchical linear regression (see Table 2) of leader prototypicality, uncertainty, and NC
onto leader support was marginally significant at Step 1, R 2 ¼ .08, F(3, 87) ¼ 2.57,
p ¼ .06. As predicted under H1, participants supported the prototypical leader
significantly more strongly than the non-prototypical leader (b ¼ .21, t(87) ¼ 1.97,
p ¼ .05). Uncertainty and NC were not significantly associated with leader support.
Uncertainty and NC were, however, significantly and negatively correlated (r ¼ 2 .22,
p ¼ .032), supporting the notion that self-uncertainty is a cognitive demand. Inclusion of
the two-way interactions at Step 2 did not account for significant additional variance
(R 2 ¼ .11, DR 2 ¼ .03, F(3, 84) ¼ 0.78, p ¼ .51), but inclusion of the three-way
interaction at Step 3 did, R 2 ¼ .14, DR 2 ¼ .05, F(1, 83) ¼ 4.23, p ¼ .043.
As predicted under H2, the three-way interaction between leader prototypicality,
uncertainty, and NC accounted for significant variance in leader support, b ¼ 2 .22,
t(83) ¼ 2.06, p ¼ .043 (see Figure 1). Analyses of simple slopes revealed as predicted
under H2 that among low NC participants (Figure 1, Panel A), uncertainty significantly
strengthened support for the prototypical leader (b ¼ .55, t(83) ¼ 2.51, p ¼ .014). The
relationship between prototypicality and support was not significant under low uncertainty
but became marginally significantly positive under high uncertainty (b ¼ .33,
t(83) ¼ 1.70, p ¼ .09). Also as predicted under H2, among high NC participants
(Figure 1, Panel B) the positive relationship between prototypicality and support was
significant under low uncertainty (b ¼ .36, t(83) ¼ 2.03, p ¼ .045), but attenuated to non-
significance under high uncertainty. The attenuation was due to a non-significant increase
in support for the non-prototypical leader and a reduction in support for the prototypical
leader. This pattern of results is consistent with the pattern predicted under H2. No other
TABLE 2 Hierarchical Linear Regression for Leader Prototypicality, Uncertainty, and Need forCognition onto Leader Support at Step 3 with All Main Effects, Two-Interactions, and Three-WayInteraction in the Model
Variable R 2 DR 2 F b SE b t
Final step .15 .08 4.23Leader prototypicality .49 .18 .14 1.34Uncertainty .19 .13 .16 1.43Need for cognition 2 .12 .17 2 .08 2 .71ProtoXUnc .24 .26 .10 .90UncXNC 2 .11 .10 2 .11 21.10ProtoXNC .37 .33 .12 1.11ProtoXUncXNC* 2 .42 .21 2 .22 22.06
Notes: Although not depicted in this table, Step 1 included all main effects, Step 2 included the maineffects and the three two-interactions, and Step 3 included the main effects, the three two-wayinteractions, and the three-way interaction. *p , .05.
D. E. Rast III et al.140
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simple slopes were statistically significant. Simple interaction analyses (Hayes, 2013)
indicated that the interaction between leader prototypicality and uncertainty was
significant among low NC (21 SD), b ¼ .71, SE ¼ .35, t ¼ 2.00, p , .05, but not high
NC followers (þ1 SD), b ¼ 2 .24, SE ¼ .34, t ¼ 20.71, ns. Condition effects analysis
further revealed the main effect of leader prototypicality was significant only for high NC
followers (þ1 SD) at low (21 SD; b ¼ 1.26, SE ¼ .51, t ¼ 2.04, p , .05) and moderate
(þ0 SD; b ¼ .91, SE ¼ .51, t ¼ 1.79, p ¼ .07) levels of self-uncertainty.
Following recent recommendations (Dawson & Richter, 2006), we further explored the
moderation effect to test the a priori three-way interaction hypothesis. This procedure
allows us to compare one simple slope against another (analogous to simple main effects
testing in ANOVA). We hypothesized that high uncertainty would strengthen the leader
prototypicality advantage when NC was low, but weaken it when NC was high. That is, we
expected a significant slope difference in the high leader prototypicality and low NC
versus high leader prototypicality and high NC slopes as a function of increased
uncertainty. This is precisely what we found (t ¼ 22.15, p ¼ .035) and is consistent with
the simple slope analyses in supporting H2.
Previous research demonstrates that messages from or information about prototypical
ingroup members is processed centrally while information about or messages from
Panel A: Low Need for Cognition
1
2
3
4
5
6
7
8
9
Non-prototypical Prototypical
Lead
er S
uppo
rt
Leader prototypicality
High uncertaintyLow uncertainty
Panel B: High Need for Cognition
High uncertaintyLow uncertainty
1
2
3
4
5
6
7
8
9
Non-prototypical Prototypical
Lead
er S
uppo
rt
Leader prototypicality
FIGURE 1 Leader support as a function of leader prototypicality for high and low
uncertainty participants.
Leadership and Uncertainty 141
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outgroup or non-prototypical ingroup members are processed peripherally (McGarty,
Haslam, Hutchinson, & Turner, 1994; van Knippenberg & Wilke, 1992). We only found
this effect under low uncertainty. A significant slope difference emerged between the low
uncertainty and high prototypicality versus low uncertainty and low prototypicality slopes
as NC increased, t ¼ 2.28, p ¼ .025.
Discussion
The social identity theory of leadership focuses on the identity function of leadership
(Hogg et al., 2012). Because followers look to their leaders to clarify the group’s attributes
and thus its members’ social identity, followers pay greater attention to and are influenced
more by leaders who are prototypical of the group than those who are not—prototypical
leaders are supported more strongly than non-prototypical leaders. There is substantial
empirical support for this basic prediction.
We drew on uncertainty–identity theory (Hogg, 2012) and the construct of NC
(Cacioppo & Petty, 1982) to investigate how self-uncertainty and NC interact to affect the
leadership advantage of prototypicality. We reasoned that self-uncertainty would be
experienced as a cognitive demand (e.g., Proulx & Inzlicht, 2012; Tversky & Kahneman,
1974) because it invites cogitation, and that how people deal with this depends on their NC.
Those with low NC prefer to avoid expending cognitive effort and instead come
quickly to a decision through reliance on heuristics—under self-uncertainty they would
rely more strongly on prototypicality as a basis of their leadership support. In contrast
those with high NC enjoy expending cognitive effort thinking about, processing, and
elaborating information—under uncertainty they would rely less on prototypicality as a
heuristic guiding their leadership support. In both cases, uncertainty might have a slightly
stronger effect on prototypical than non-prototypical leader support as group membership
would also be salient.
We tested this analysis by measuring self-uncertainty and NC, and manipulating leader
prototypicality to investigate their effects on leader support. As predicted, and in line with
previous research, there was indeed a significant leadership advantage in being viewed as
prototypical (H1). However, this main effect was significantly moderated as hypothesized
(H2)—among low NC participants, self-uncertainty greatly strengthened support for the
prototypical leader and thus accentuated the leadership advantage of being a prototypical
leader. Among high NC participants, uncertainty erased the leadership advantage of being
prototypical, due to some weakening of support for the prototypical leader and
strengthening of support for the non-prototypical leader.
The finding that uncertainty strengthened low NC participants’ support for a
prototypical leader is consistent with related research by Pierro et al. (2005) where NCC
was associated with increased prototypical leader support (NCC is an epistemic motivation
that is weakly related to, but distinct from, the NC—Webster & Kruglanski, 1994).
The results of our study were supportive of our hypotheses, and overall conceptual
analysis. However, although the key three-way interaction was significant as predicted, not
all predicted simple main effects within the interaction were statistically significant—one
very obvious reason for this is our relatively small sample. The only puzzling finding was
that the low uncertainty, low NC participants did not show significant preference for the
prototypical leader. There is no obvious reason why they did not behave like their high NC
counterparts who did show the expected significant preference for the prototypical leader.
It could simply be that the conjunction of low self-evaluative load (low self-uncertainty)
and little general inclination to reflect deeply (low NC) reduced overall processing of the
group leadership-related information as a whole that was presented in the study.
D. E. Rast III et al.142
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The present study shows that prototypical leaders of self-relevant groups are not always
supported more than non-prototypical leaders. Self-uncertainty, which is typically
associated with increased group identification (Hogg, 2007, 2012), plays a role. For
example, a pair of studies by Rast et al. (2012) has shown that leadership evaluations of a
non-prototypical leader were significantly improved by self-uncertainty, but only when
such a leader was evaluated alone and not in comparison to a prototypical leader.
However, in the present study, self-uncertainty plays a slightly different role, not the
simple identification-mediated role one might expect (i.e., strengthening prototype-based
leadership support). Rather it can play a more cognitive role associated with the fact that
high self-uncertainty involves greater cognitive work than low self-uncertainty. As such,
people’s orientation towards cognition, their level of NC, affects the way they address
elevated self-uncertainty—low NC favors prototype-based leadership support, more than
does high NC. Importantly, the results also provide a potential boundary condition
regarding when prototype-relevant information will be processed and elaborated
systematically versus heuristically. The findings demonstrate how uncertainty–identity
theory (Hogg, 2007) stipulates when these interactive effects will emerge.
This research also addresses the under-exploration of the cognitive-motivational aspect
of the social identity framework. The limited research in this area has produced mixed
findings. On the one hand, researchers have shown that prototype-relevant leadership
information may be processed centrally rather than heuristically (McGarty et al., 1994;
van Knippenberg & Wilke, 1992). On the other hand, it has been argued that prototype-
based leadership judgments may rely on prototypicality as a heuristic that circumvents
more laborious systematic inductive information processing (e.g., Leicht, Crisp, &
Randsley de Moura, 2013). Our findings show that uncertainty moderates how people
process prototype-relevant information centrally versus heuristically. We found support
for he former only when uncertainty was low, but support for the latter among low NC
followers when uncertainty was high.
A promising new direction to take this research on the more cognitive impact of
uncertainty on leadership evaluation and support invokes the language and logic of
Blascovich’s biopsychosocial model of challenge and threat (Blascovich & Tomaka,
1996). If self-uncertainty is considered a cognitive demand then, when we believe our
cognitive resources to deal with the demand are adequate, we feel a cognitively enriched
sense of challenge. But when we believe our resources are inadequate, we feel a
cognitively constrained sense of threat. Future research could manipulate uncertainty in
the context of another cognitive resource variable that affects whether uncertainty is
subjectively experienced as a challenge or a threat. The NC may be one such variable, but
others might include the availability or complexity of identity-related information, or the
extent to which people have a complex or simple identity structure that provides
alternative identities (e.g., Roccas & Brewer, 2002). Threat might be associated with
greater reliance on prototypicality as a leadership support heuristic, whereas challenge
might be associated with more deliberative leadership assessment in which prototypes are
less relied on or in which prototype information is more exhaustively considered.
There are some limitations in the current study. A sample size of 100 might be
considered “small” for testing a three-way interaction in regression. Studies with smaller
samples can produce artificial effects, particularly if these studies employ scales with low
reliability, examine relationships with small effect sizes, have a poor N to k ratio, or if
multicollinearity is problematic (Aguinis & Stone-Romero, 1997; Evans, 1985). However,
recent research demonstrates that smaller sample sizes can be accurate when the
previously mentioned shortcomings are absent (e.g., Dawson & Richter, 2006). This is
true of the current study where the sample size is considered small but the measures are
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moderately to highly reliable, effect sizes are medium to large, and the key variables are
not significantly intercorrelated.
Another possible limitation is the focus on potential or emerging leaders, rather than
incumbent leaders. Changing the status of the leader from an emerging to an incumbent
leader would likely affect the results. For example, Abrams, Randsley de Moura, Marques,
and Hutchison (2008) found that newly appointed or future leaders were given more
leeway to be innovative—this ‘innovation credit’ is not accrued by established or
incumbent leaders. The present findings are also in line with findings in the attitude change
literature, where NC is a trait often examined within the Elaboration Likelihood Model:
NC is typically associated with attitude change, but not necessarily attitude formation
(Petty & Wegener, 1998). For instance, one could predict that if people have not yet
formed an attitude about their leader, then they will be more lenient when evaluating a
deviant, anti-normative, or non-prototypical leader than when evaluating a leader about
whom they already have formed an attitude. The attitude formation and leadership
literatures have yet to be empirically tested in conjunction, and thus future research would
benefit from exploring the overlap between them. The present study provides initial
evidence showing how self-uncertainty, NC, and leader prototypicality interact to affect
leader evaluations, irrespective of the source’s message. Given the preliminary nature of
the present study integrating leadership and attitude change research, many directions are
available for future research, such as examining whether a leader is advocating a strong
versus weak message further moderates our findings.
Conclusion
In conclusion, the research reported in this article accomplishes two significant objectives:
(a) it adds to a growing literature identifying conditions under which the leadership
advantage of being prototypical in a salient group is diminished and (b) it represents the
first empirical test of an extension of uncertainty–identity theory that argues that the
effects of self-uncertainty on group behavior, including leadership evaluations and
support, may be different as a function of people’s level of NC. Returning to our opening
questions, we can now say that being a group prototypical leader is advantageous,
particularly where followers are self-uncertain and have a low NC. But, being prototypical
is less advantageous where followers are self-uncertain and have a high NC.
Note
1. NC and NCC have been examined, and compared/contrasted by others (e.g., Webster &
Kruglanski, 1994), as have NCC and self-uncertainty (Hogg, 2007). We do not wish to add
to this discussion. Need for cognitive closure is an epistemic motivation related to one’s
desire for order, rules, stability, and predictability. This is different from our
conceptualization of NC and self-uncertainty, and we do not wish to further discuss the
relationship between these variables.
References
Abrams, D., & Hogg, M. A. (1990). Social identification, self-categorisation, and social influence.
European Review of Social Psychology, 1, 195–228.
Abrams, D., & Hogg, M. A. (2010). Social identity and self-categorization. In J. F. Dovidio,
M. Hewstone, P. Glick, & V. M. Esses (Eds.), The SAGE handbook of prejudice, stereotyping
and discrimination (pp. 179–193). London: SAGE.
D. E. Rast III et al.144
Dow
nloa
ded
by [
Uni
vers
ity o
f Sh
effi
eld]
, [D
avid
Ras
t] a
t 03:
06 1
3 Fe
brua
ry 2
015
Abrams, D., Randsley de Moura, G., Marques, J. M., & Hutchison, P. (2008). Innovation credit:
When can leaders oppose their group’s norms? Journal of Personality and Social Psychology,
95, 662–678.
Aguinis, H., & Stone-Romero, E. F. (1997). Methodological artifacts in moderated
multiple regression and their effects on statistical power. Journal of Applied Psychology, 82,
192–206.
Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions.
Newbury Park, CA: Sage Publications.
Blascovich, J., & Tomaka, J. (1996). The biopsychosocial model of arousal regulation.
In M. P. Zanna (Ed.), Advances in experimental social psychology (Vol. 28, pp. 1–51). San
Diego, CA: Academic Press.
Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social
Psychology, 42, 116–131.
Cacioppo, J. T., Petty, R. E., & Kao, C. F. (1984). The efficient assessment of need for cognition.
Journal of Personality Assessment, 48, 306–307.
Dawson, J. F., & Richter, A. W. (2006). Probing three-way interactions: The development and
application of a slope difference test. Journal of Applied Psychology, 91, 917–926.
Evans, M. T. (1985). A Monte Carlo study of the effects of correlated method variance in moderated
multiple regression analysis. Organizational Behavior and Human Decision Processes, 36,
305–323.
Goethals, G. R., Sorenson, G. J., & Burns, J. M. (Eds.). (2004). Encyclopedia of leadership.
Thousand Oaks, CA: Sage.
Haslam, S. A., Reicher, S. D., & Platow, M. J. (2011). The new psychology of leadership: Identity,
influence and power. New York, NY: Psychology Press.
Hayes, A. F. (2013). An introduction to mediation, moderation, and conditional process analysis:
A regression-based approach. New York, NY: The Guilford Press.
Hogg, M. A. (2001). A social identity theory of leadership. Personality and Social Psychology
Review, 5, 184–200.
Hogg, M. A. (2007). Uncertainty-identity theory. In M. P. Zanna (Ed.), Advances in experimental
social psychology (Vol. 39, pp. 69–126). San Diego, CA: Academic Press.
Hogg, M. A. (2010). Influence and leadership. In S. T. Fiske, D. T. Gilbert, & G. Lindzey (Eds.),
Handbook of social psychology (Vol. 2, 5th ed., pp. 1166–1207). New York, NY: Wiley.
Hogg, M. A. (2012). Uncertainty-identity theory. In P. A. M. Van Lange, A. W. Kruglanski, &
E. T. Higgins (Eds.), Handbook of theories of social psychology (pp. 62–80). Thousand Oaks,
CA: Sage.
Hogg, M. A., & Turner, J. C. (1987). Social identity and conformity: A theory of referent
informational influence. In W. Doise & S. Moscovici (Eds.), Current issues in European social
psychology (Vol. 2, pp. 139–182). Cambridge: Cambridge University Press.
Hogg, M. A., & van Knippenberg, D. (2003). Social identity and leadership processes in groups.
In M. P. Zanna (Ed.), Advances in experimental social psychology (Vol. 35, pp. 1–52). San
Diego, CA: Academic Press.
Hogg, M. A., van Knippenberg, D., & Rast, D. E. III (2012). The social identity theory of leadership:
Theoretical origins, research findings, and conceptual developments. European Review of
Social Psychology, 23, 258–304.
Koenig, A. M., Eagly, A. H., Mitchell, A. A., & Ristikari, T. (2011). Are leader stereotypes
masculine? A meta-analysis of three research paradigms. Psychological Bulletin, 137,
616–642.
Leicht, C., Crisp, R. J., & Randsley de Moura, G. (2013). Need for structure predicts leadership
preference. Group Dynamics: Theory Research and Practice, 17, 53–66.
Lord, R., & Hall, R. (2003). Identity, leadership categorization, and leadership schema. In D. van
Knippenberg & M. A. Hogg (Eds.), Leadership and power: Identity processes in groups and
organizations (pp. 48–64). London: Sage.
McGarty, C., Haslam, S. A., Hutchinson, K. J., & Turner, J. C. (1994). The effects of salient group
memberships on persuasion. Small Group Research, 25, 267–293.
Leadership and Uncertainty 145
Dow
nloa
ded
by [
Uni
vers
ity o
f Sh
effi
eld]
, [D
avid
Ras
t] a
t 03:
06 1
3 Fe
brua
ry 2
015
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for
processing information. Psychological Review, 63, 81–97.
Petty, R. E., & Brinol, P. (in press). The elaboration likelihood and meta-cognitive
models of attitudes: Implications for prejudice, the self, and beyond. In J. Sherman,
B. Gawronski, & Y. Trope (Eds.), Dual-process theories of the social mind. New York, NY:
Guildford Press.
Petty, R. E., Brinol, P., Loersch, C., & McCaslin, M. J. (2009). The need for cognition.
In M. R. Leary & R. H. Hoyle (Eds.), Handbook of individual differences in social behavior
(pp. 318–329). New York, NY: Guilford Press.
Petty, R. E., & Wegener, D. T. (1998). Attitude change: Multiple roles for persuasion variables.
In D. Gilbert, S. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (4th ed.,
pp. 323–390). New York, NY: McGraw-Hill.
Pierro, A., Cicero, L., Bonaiuto, M., van Knippenberg, D., & Kruglanski, A. W. (2005). Leader
group prototypicality and leadership effectiveness: The moderating role of need for cognitive
closure. The Leadership Quarterly, 16, 503–516.
Proulx, T., & Inzlicht, M. (2012). The five ‘A’s of meaning maintenance: Making sense of the
theories of sense-making. Psychological Inquiry, 23, 317–335.
Rast, D. E. III (in press). Leadership in times of uncertainty: Recent findings, debates, and potential
future research directions. Social and Personality Psychology Compass.
Rast, D. E. III, Gaffney, A. M., Hogg, M. A., & Crisp, R. J. (2012). Leadership under uncertainty:
When leaders who are non-prototypical group members can gain support. Journal of
Experimental Social Psychology, 48, 646–653.
Rast, D. E. III, Hogg, M. A., & Giessner, S. R. (2013). Self-uncertainty and support for autocratic
leadership. Self and Identity, 12, 635–649.
Roccas, S., & Brewer, M. B. (2002). Social identity complexity. Personality and Social Psychology
Review, 6, 88–109.
Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and
categorization (pp. 27–48). Hillsdale, NJ: Erlbaum.
Tormala, Z. L., DeSensi, V. L., & Petty, R. E. (2007). Resisting persuasion by illegitimate means:
A meta-cognitive perspective on minority influence. Personality and Social Psychology
Bulletin, 33, 354–367.
Tullett, A. M., Prentice, M., Teper, R., Nash, K., Inzlicht, M., & McGregor, I. (2013).
Neural foundations of meaning and threat. In K. Markman, T. Proulx, & M. J. Lindberg (Eds.),
The psychology of meaning (pp. 401–419). Washington, DC: American Psychological
Association.
Turner, J. C. (1982). Toward a cognitive redefinition of the social group. In H. Tajfel (Ed.), Social
identity and intergroup relations (pp. 15–30). Cambridge: Cambridge University Press.
Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., &Wetherell, M. S. (1987). Rediscovering the
social group: A self-categorization theory. Oxford: Blackwell.
Turner, J. C., Oakes, P. J., Haslam, S. A., & McGarty, C. (1994). Self and collective-cognition and
social-context. Personality and Social Psychology Bulletin, 20, 454–463.
Tversky, A., & Kahneman, D. (1974). Judgments under uncertainty: Heuristics and biases. Science,
185, 1124–1131.
van Knippenberg, D. (2011). Embodying who we are: Leader group prototypicality and leadership
effectiveness. The Leadership Quarterly, 22, 1078–1091.
van Knippenberg, B., & van Knippenberg, D. (2005). Leader self-sacrifice and leadership
effectiveness: The moderating role of leader prototypicality. Journal of Applied Psychology,
90, 25–37.
van Knippenberg, D., & Wilke, H. (1992). Prototypicality of arguments and conformity to ingroup
norms. European Journal of Social Psychology, 22, 141–155.
Webster, D. M., & Kruglanski, A. W. (1994). Individual differences in need for cognitive closure.
Journal of Personality and Social Psychology, 67, 1049–1062.
D. E. Rast III et al.146
Dow
nloa
ded
by [
Uni
vers
ity o
f Sh
effi
eld]
, [D
avid
Ras
t] a
t 03:
06 1
3 Fe
brua
ry 2
015