ICEKA J Z E N ~
University of Massachusetts-Amherst
Conceptual and methodological ambiguities surrounding the concept of perceived behavioral control are clarified. It is shown that perceived control over performance of a behavior, though comprised of separable components that reflect beliefs about self-efficacy and
about controllability, can nevertheless be considered a unitary latent variable in a hierarchical factor model. It is further argued that there is no necessary correspondence between
self-efficacy and internal control factors, or between controllability and external control
factors. Self-efficacy and controllability can reflect internal as well as external factors and
the extent to which they reflect one or the other is an empirical question. Finally, a case is
made that measures of perceived behavioral control need to incorporate self-efficacy as
well as controllability items that are carefully selected to ensure high internal consistency.
The theory of planned behavior (Ajzen, 1988, 1991) has emerged as one of
the most influential and popular conceptual frameworks for the study of human
action (Ajzen, 200 1). Briefly, according to the theory, human behavior is guided
by three kinds of considerations: beliefs about the likely consequences or other
attributes of the behavior (behavioral beliefs), beliefs about the normative expectations of other people (normative beliefs), and beliefs about the presence of factors that may further or hinder performance of the behavior (control beliefs). In
their respective aggregates, behavioral beliefs produce a favorable or unfavorable
attitude toward the behavior; normative beliefs result in perceived social pressure
or subjective norm; and control beliefs give rise to perceived behavioral control,
the perceived ease or difficulty of performing the behavior. In combination, attitude toward the behavior, subjective norm, and perception of behavioral control
lead to the formation of a behavioral intention. Finally, given a sufficient degree
of actual control over the behavior, people are expected to carry out their intentions when the opportunity arises. Intention is thus assumed to be the immediate
antecedent of behavior. However, because many behaviors pose difficulties of
execution that may limit volitional control, it is useful to consider perceived
‘1 am grateful to Paul Sparks for his comments on an earlier version of this article.
*Correspondence concerning this article should be addressed to Icek Ajzen, Department of Psychology, Tobin Hall-Box 37710, University of Massachusetts, Amherst, MA 01003-7710. E-mail:
aizen@psych.umass.edu
665
Journal ofApplied Social Psychology, 2002, 32,4, pp. 665-683.
Copyright 0 2002 by V. H.Winston & Son, Inc. All rights resewed.
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Perceived Behavioral Control, Self-Efficacy, Locus of
Control, and the Theory of Planned Behavior1
ICEK AJZEN
behavioral control in addition to intention. To the extent that people are realistic
in their judgments of a behavior’s difficulty, a measure of perceived behavioral
control can serve as a proxy for actual control and contribute to the prediction of
the behavior in question. Support for the theory in general is summarized in a
meta-analysis (Armitage & Conner, 2001), a review of the literature (Sutton,
1998), and a summary of its applications to health-related behavior (Conner &
Sparks, 1996). In addition, a review of recent research on the theory of planned
behavior can be found in Ajzen (2001).
The Concept of Perceived Behavioral Control
Notwithstanding the theory’s overall success, vexing problems remain
(Armitage & Conner, 1999b; Conner & Armitage, 1998; Sheeran & Orbell,
1999a; Sutton, 1998). The present article addresses one of these problems,
namely, the nature and measurement of perceived behavioral control. The theory
of planned behavior was derived from the theory of reasoned action (Fishbein &
Ajzen, 1975), which assumed that most human social behavior is under volitional
control and, hence, can be predicted from intentions alone. The construct of perceived behavioral control was added in an attempt to deal with situations in
which people may lack complete volitional control over the behavior of interest.
For example, consider a college graduate who intends to secure an advertised
position in a high-tech company. It is immediately apparent that carrying out this
intention is not completely under the person’s control. Although she may do
everything in her power to obtain the position-sending in her resume with a persuasive accompanying letter, calling the company’s personnel department, and
establishing contacts with current employees-she will be disappointed if the
employer decides to hire a different applicant who is perhaps more qualified or
who has connections inside the company. The lack of control in this case resides
in the fact that getting an advertised position requires action not only on the part
of the applicant but is also dependent on the actions of one or more other individuals. In fact, for this reason, getting a job would usually be classified as a goal,
not a behavior, whereas applying for the job might be considered a behavior performed to attain the goal.
However, a moment’s reflection reveals that the “behaviors” leading up to
attainment of a goal must themselves be considered intermediate goals with their
own potential problems of execution. To return to the above example, applying
for the advertised position is arguably under greater volitional control than is getting it, but the application may still be thwarted by a variety of factors. The prospective applicant may find it impossible to obtain required letters of reference
and other documentation in time to meet the application deadline; or else, she
might be stricken by a serious illness, preventing her from preparing the application. In short, even mundane everyday behaviors can be subject to unforeseen
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obstacles, and volitional control over behavior is therefore best considered a matter of degree rather than kind, The concept of perceived behavioral control was
introduced into the theory of planned behavior to accommodate the nonvolitional
elements inherent, at least potentially, in all behaviors. Even when not particularly realistic, perceived behavioral control is likely to affect intentions. All else
equal, a high level of perceived control should strengthen a person’s intention to
perform the behavior, and increase effort and perseverance. In this fashion, perceived behavioral control can affect behavior indirectly, by its impact on intention. And when perceived behavioral control is veridical, it provides useful
information about the actual control a person can exercise in the situation and can
therefore be used as an additional direct predictor of behavior.3
Perceived Self-EfJicucy
The concept of perceived behavioral control is by no means new or original to
the theory of planned behavior. A similar idea appears in the health belief model
(Rosenstock, 1966), where it is termed barriers, and in the model of interpersonal
behavior (Triandis, 1977), where it takes the form of facilitating conditions. Perceived behavioral control owes its greatest debt, however, to Bandura’s work on
self-efficacy (Bandura, 1977, 1989, 1997).
Perceived self-efficacy refers to “people’s beliefs about their capabilities to
exercise control over their own level of functioning and over events that affect
their lives” (Bandura, 1991, p. 257). Defined at this general level, perceived selfefficacy differs greatly from perceived behavioral control, which is focused on
the ability to perform a particular behavior. However, efficacy expectation also is
defined as “the conviction that one can successfully execute the behavior
required to produce (certain outcomes)” and, consistent with this definition, perceived self-efficacy is said to refer to “beliefs in one’s capabilities to organize
and execute the courses of action required to produce given levels of attainments” (Bandura, 1998, p. 624). In these definitions, the concern is clearly with
control over the behavior itself, not with control over outcomes or events. Now a
central feature of social cognitive theory (Bandura, 1986), self-efficacy was
introduced to deal with coping behavior in the context of behavior modification
(Bandura, 1977). Like the clinical strategy of successive approximation to the
desired goal, a behavior is broken down into its successive elements, and selfefficacy is analyzed in terms of perceived ability to perform each step in the
3Logically, perceived behavioral control, rather than having a direct effect, is expected to interact
with attitudes and with subjective norms in determining intentions, and with intentions in its effects
on behavior (Ajzen, 1985). Empirically, however, interactions of this kind can be expected only if
values of the predictor variables cover the full range of possible scores, such that the product term is
fully expressed in the prediction. Research to date has revealed little evidence for the expected interactions, and the simpler additive model has been used in most applications.
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PERCEIVED BEHAVIORAL CONTROL
ICEK AJZEN
sequence or under a variety of circumstances (Bandura & Cervone, 1983;
Bandura & Schunk, 1981; Bandura & Wood, 1989).
It can be seen that perceived behavioral control and self-efficacy are quite
similar: Both are concerned with perceived ability to perform a behavior (or
sequence of behaviors). In retrospect, the decision to use the term “perceived
behavioral control” to denote this component in the theory of planned behavior
may have been misleading. This term has sometimes been taken to refer to the
belief that performance of a behavior affords control over attainment of an outcome. This, of course, is not the intended meaning. Perceived behavioral control
simply denotes subjective degree of control over performance of the behavior
itself. The distinction here is the same as that between efficacy expectation (i.e.,
the perceived ability to perform a behavior) and outcome expectation (i.e., the
perceived likelihood that performing the behavior will produce a given outcome;
Bandura, 1 977).4 To avoid misunderstandings of this kind, the term “perceived
behavioral control” should be read as “perceived control over performance of a
behavior.”
Measuring Perceived Behavioral Control
Like attitude and subjective norm, perceived behavioral control can be measured by asking direct questions about capability to perform a behavior or indirectly on the basis of beliefs about ability to deal with specific inhibiting or
facilitating factors. The great majority of studies performed to date have used the
direct approach, but belief-based measures have the advantage of providing
insight into the cognitive foundation underlying perceptions of behavioral control.
Belief Based Measures
Pilot work is required to elicit salient or accessible control beliefs. Respondents are asked to generate a list of factors they believe could make it easier or
more difficult for them to perform the behavior. The questionnaire constructed in
the main part of the research then either uses the accessible factors generated by a
given participant (personal accessible belief), or a standard list of the most commonly mentioned factors (modal accessible beliefs). To obtain theory-relevant
information about these control factors, two sets of questions can be posed with
4Related to this issue, it has recently been suggested that perceived self-efficacy, as indexed by
judgments of easy-difficult, may be indistinguishable from attitude toward the behavior (Leach,
Hennessy, & Fishbein, 1999). Conceptually, however, the two constructs are quite distinct. Attitude
toward a behavior IS related to the subjective values of the behavior’s perceived outcomes-that is,
outcome expectancies, whereas self-efficacy or perceived behavioral control has to do with perceived
ability to perform the behavior (is., self-efficacy expectations).
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respect to each. Respondents can be asked to indicate (a) the perceived likelihood
(or frequency) of a given control factor being present (strength of control belief),
and (b) the extent to which the control factor’s presence has the power to facilitate or impede performance of the behavior (power of control belief).
For example, in the pilot phase of a study on leisure behavior (Ajzen &
Driver, 199l), college students identified four factors that could make mountain
climbing easier or more difficult for them: good weather, not having proper
equipment, living near mountains, and lacking skills and knowledge. In the main
study, a new sample of respondents indicated, with respect to each of these factors, the extent to which it was true for them and the effect it would have on their
ability to go mountain climbing. The following items illustrate the measurement
procedure with respect to one of the control beliefs.
Control belief strength (c). I don’t have the proper equipment for mountain
climbing.
True: 1 : 2 : 3 : 4 : 5 : 6 : 7 : F a l s e
Control beliefpower 0).
Not having the proper equipment makes mountain
climbing
Easier for me : I : 2 : 3 : 4 : 5 : 6 : 7 : More difficult for me.
In accordance with an expectancy-value formulation, a belief-based measure
of perceived behavioral control is obtained by multiplying belief strength and
power, and summing the resulting products over all accessible control factors, as
shown in the following equation.5
In a similar fashion, Armitage and Conner (1999b) elicited seven accessible
control factors related to eating a low-fat diet, factors involving time, cost, willpower, inconvenience, lack of knowledge, rumination, and familiarity. With
respect to each, the investigators used 7-point scales to measure belief strength and
power. In other behavioral domains, different types of control beliefs are found to
be relevant. Thus, in the area of academic achievement (Ajzen & Madden, 1986),
pilot work identified eight factors that could make obtaining a good grade easier or
more difficult: other classes with demands on time and energy, involvement in
extracurricular activities, stimulating subject matter, difficult text and reading
materials, difficult exams and other requirements, clear and well-organized lectures, the student’s skills and background, and availability of assistance. As can be
seen, some control factors are internal to the actor (e.g., skills, knowledge, background, willpower) while others are external (e.g., living near mountains; difficulty of assigned readings and exams; availability of assistance, time, and money).
50ptimal scaling procedures should be applied to determine unipolar or bipolar scoring of these
scales (Ajzen, 1991).
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PERCEIVED BEHAVIORAL CONTROL
ICEK AJZEN
Table 1
Direct Measures of Perceived Behavioral Control
Source
Sheeran and
Orbell
(1 999b,
Study 2)
Behavior
Items used
Taking a multi- For me to . . . would be very easyvitamin pill
very difficult
every day for If I want to I will easily be able to . . .
the next 3
The number of external influences
that may prevent me from . . .
weeks
How much control do you think you
have over your ability to . . .
Courneya,
Participating in For me to . . . is extremely difficultBobick, and regular physi- extremely easy
Schinke
cal exercise
How much control do you have over
(1 999,
…
If I wanted to I could easily . . .
Study 1)
Reliability
.90
.8 I
Conner and
McMillan
( 1999)
Using cannabis/ For me . . . would be difficult-easy
marijuana in How much control do you think you
the next 3
have over . . .
months
How much do you feel that whether
. . . is beyond your control
If I wanted to, I could easily . . .
.90
Conner,
Sheeran,
Norman,
and
Armitage
(2000)
Attending a
For me . . . would be difficult-easy
health check- I could easily . . . if I wanted to
measured on How much control have you over. . .
two occasions
.61,
.74
For me . . . is difficult-easy
If I wanted to I could easily. . .
How much control do you have over
whether you do or do not . . .
It is mostly up to me whether. . .
.76
Using acondom For me . . . would be very difficulteach time I
very easy
have sexual
If I wanted to I would make sure . . .
intercourse
I feel I would be capable of convincwith a new
ing my new partner t o . . .
partner in the
next 3
months-3
samples
.79,
.63,
.83
Netemeyer,
Voting in the
Burton, and October 24th
Johnston
governor’s
election pri(1991,
Study 1)
mary
Godin et al.
(1996)
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670
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The belief-based measure of perceived behavioral control aggregates across all
accessible control factors, whether internal or external.
Direct Measures
In a parallel fashion, direct measures of perceived behavioral control are
designed to capture the perceived facilitating and inhibiting effects of all accessible control factors. A variety of direct questions have been used to elicit respondents’ perceptions of the extent to which they are capable of performing a given
behavior or attaining a behavioral goal. Table 1 displays items used in a sample
of recent studies, together with the reported reliabilities (usually alpha coefficients) of the composite scores. Clearly, there is considerable commonality in the
items employed, some dealing with the ease or difficulty of performing a behavior, others with the degree of control over performing it. In the set of studies
shown in Table 1, the internal consistencies or reliabilities of the measures were
quite high, ranging from .61 to .90. A meta-analysis of 90 studies that assessed
perceived behavioral control in the context of the theory of planned behavior
showed the average alpha coefficient to be about .65 (Cheung & Chan, 2000).
Interestingly, the meta-analysis also revealed that, in comparison to the reliabilities of attitudes and subjective norms, the alpha coefficients of perceived behavioral control measures varied considerably across studies. The measures used in
some studies had relatively low reliability while in other studies, their reliability
was very high. These findings suggest that it is possible to obtain high reliabilities with direct measures of perceived behavioral control, but this is not assured
and care must be taken in the formative stages of the research to formulate appropriate control items.6
Perceived Self-Eficacy Versus Controllability
Several investigators have questioned the unitary conception of perceived
behavioral control. Items concerned with the ease or difficulty of performing a
behavior, or confidence in one’s ability to perform it, are often said to measure
perceived self-efficacy and they are contrasted with items that address control
over the behavior, or the extent to which its performance is up to the actor
(Armitage & Conner, 1999b; Manstead & van Eekelen, 1998; Terry & O’Leary,
1995). The characterization of self-efficacy beliefs as confidence in one’s ability
6Because belief-based measures of perceived behavioral control rely on accessible beliefs generated by the research population, the question of reliability is of less relevance there. According to the
theory, perceived behavioral control is based on all accessible control beliefs, whatever their internal
reliability. Just as it is possible for attitudes to reflect an evaluatively ambivalent set of behavioral
beliefs, so too can perceived behavioral control reflect a set of control beliefs that are internally inconsistent-some implying high control, others low control.
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PERCEIVED BEHAVIORAL CONTROL
ICEK AJZEN
to perform a behavior is, in fact, quite consistent with Bandura’s (1997) use and
operationalization of the term. In work with the self-efficacy concept, participants are typically asked to rate their confidence in their ability to perform a
behavior under a variety of circumstances. For example, in a study of snake phobia, participants rated their capability of executing a series of 18 progressively
more threatening interactions with a boa constrictor (Bandura, Adams, & Beyer,
1977; see also Bandura, 1977). The ratings were made on a 100-point scale ranging, in 10-unit intervals, from 1 (great uncertainty) to 100 (complete certain@).
In another study using the same rating scale (Bandura & Schunk, 198 l), children
were shown 25 subtraction problems of varying difficulty levels and were asked
to rate their certainty that they could solve each. This approach is considered to
be the standard methodology for assessing efficacy beliefs (Bandura, 1997).
Empirical research provides considerable evidence for the distinction
between measures of self-efficacy (ease or difficulty of performing a behavior)
and measures of controllability (beliefs about the extent to which performing the
behavior is up to the actor). The meta-analysis of perceived behavioral control
mentioned earlier (Cheung & Chan, 2000) classified studies in terms of the type
of items employed. A small number of studies used only questions related to controllability. However, most employed either self-efficacy items alone, or a mixture of self-efficacy and controllability items. Perceived self-efficacy was found
to account for significant portions of variance in intentions, beyond attitudes and
subjective norms, and in behavior, over and above intentions. In contrast, controllability added significantly to the prediction of behavior but not to the prediction of intentions, while the mixed sets of items significantly improved prediction
of intentions but not of behavior.
The studies included in Cheung and Chan’s (2000) meta-analysis did not set
out to test the distinction between self-efficacy and controllability. In recent
years, several investigators have explored this distinction explicitly by examining
its discriminant validity and by comparing the predictive validities of self-efficacy and controllability measures in the same study. Table 2 summarizes the
types of items that have been used to distinguish between the two constructs, and
shows the reliabilities of the corresponding measures (except for the study by
Manstead and van Eekelen, 1998, which did not report reliability coefficients).
Terry and O’Leary (1995) applied the theory of planned behavior to the prediction of regular exercise (at least 20 min three times a week for 2 weeks). Perceived controllability was assessed by means of four items, and perceived selfefficacy by means of three items. Participants reported their actual exercise
behavior 2 weeks following administration of the theory of planned behavior
questionnaire. Structural equation modeling confirmed the two-factor structure
of perceived behavioral control: A model that contained self-efficacy and controllability as separate latent variables provided a significantly better fit to the
data than did a model that combined the seven indicators of perceived behavioral
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672
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Table 2
Self-Eficacy Versus Controllability
Sample items
Source
Behavior
Terry and
O’Leary
(1995)
Engaging in
regular
exercise in
next two
weeks
Self-efficacy
Controllability
Reliabilitya
~~
For me t o . . . is
How much
.80
35
very diacultcontrol do you
very easy
have. . .
I feel in complete
If I wanted to, it
would be easy for control over. . .
I- B*
me t o . . . I* B-
Manstead and Attaining at
For me . . . is very
van Eekelen least a grade 7 difficult-very
easy
(1 998)
in History,
English, and I am certain that I
Physics class
can. . . I* B*
. . . is completely
n/a
up to me
How much
control do you
have over. . .
I- B-
.83
Armitage and Eating a low-fat I believe I have the How much
Conner
diet in next
ability to . . .
personal control .71
(1999a,
month
How confident are
do you feel you
Time 1)
you that you will
have over. . .
be able to . . . I* Whether or not
. . . is entirely up
B*
to me I- B.83
Armitage and Eating a low-fat I believe I have the Whether or not
Conner
diet in the
ability to . . .
. . . is entirely up .70
(1999b,
future
To what extent do
to me
Time 1)
you see yourself How much do you
as capable o f . . .
feel that . . . is
I* Bbeyond your
control I- BSparks et al.
(1997, two
studies)
For me to . . . would It is mostly up to .90
Reducing the
.83
me whether or
amount of red be easydifficult
meavfrench How certain are you not I . . .
fries that I eat that you could . . . How much
fromnow on
I*
control do you
have over. . . I-
Note. I*, B* = significant effect on intention or behavior, respectively. I-, B- = nonsignificant effect on intention or behavior, respectively.
“The first reliability coefficient refers to the self-efficacy scale, the second to the controllability scale.
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PERCEIVED BEHAVIORAL CONTROL
ICEK AJZEN
control into a single latent variable. As can be seen in Table 2 , the sets of items
comprising the two constructs each had high reliability (a = .80 and .85, respectively); the reliability of the combined measure was not reported. As to predictive
validity, the self-efficacy measure revealed a strong and significant path to intentions but not to behavior, whereas perceived controllability had no effect on
intentions but was a significant predictor of actual behavior.
A conceptually similar study was reported by Manstead and van Eekelen
(1 998) who asked high school students to respond to a theory of planned behavior questionnaire concerning the goal of attaining at least a 7 (out of 10) in
upcoming exams in History, English, and Physics classes. The questionnaire
included six items designed to assess perceived behavioral control. A principal
components analysis followed by oblique rotation revealed two factors, one comprised of self-efficacy items, the other of controllability items (see Table 2 for
examples). Multiple regression analyses were performed to test the predictive
validity of the two control factors. Contrary to the findings reported by Terry and
O’Leary (1995), self-efficacy was found to make significant contributions to the
prediction of intentions as well as actual grade attainment in all three classes,
whereas controllability predicted neither.
Two studies by Armitage and Conner (1 999a, 199913) looked at eating a lowfat diet in different populations. In one study (Annitage & Conner, 1999b), a theory of planned behavior questionnaire was administered at two points in time,
while in the other (Armitage & Conner, 1999a) behavior was assessed 1 month
after administration of the initial questionnaire. In each study, principal components analysis of the self-efficacy and controllability items, followed by orthogonal rotation, revealed that the two expected factors and alpha coefficients
(ranging from .70 to .87) of the factor-based scores were satisfactory. With
respect to the prediction of intentions and behavior, the two studies revealed
somewhat different patterns. In the first study (Armitage & Conner, 1999b),
when the two measures were entered into a regression equation together with the
other variables in the theory of planned behavior, only perceived self-efficacy
accounted for independent variance in intentions, and neither measure added to
the prediction of behavior. In the second study (Armitage & Conner, 1999a),
self-efficacy added to the prediction of intentions and behavior, while controllability had little effect.
Finally, in an investigation of reducing red meat consumption, Sparks,
Guthrie, and Shepherd (1997) started with a set of 25 perceived behavioral control items culled from published research. Cronbach’s alpha for the total set of
items was .93, indicating very high internal consistency. Nevertheless, a principal
components factor analysis, followed by orthogonal rotation of the first two factors, helped to create separate measures of self-efficacy and controllability. The
five items loading highest on each of the two factors were selected (see Table 2
for examples). The reliabilities of these measures were .90 and .83. However,
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neither of the two measures made a significant contribution to the prediction of
intentions to reduce red meat consumption over and above attitudes and subjective norms. Perceived self-efficacy had a marginally significant effect, as had the
overall measure of perceived behavioral control based on the 25 original items.
However, in a second study that used the two 5-item scales derived in the first
study, self-efficacy significantly improved prediction of intentions to eat french
fries whereas perceived controllability had virtually no effect.
To summarize briefly, five studies explicitly designed to examine the factorial structure of perceived behavioral control in the context of the theory of
planned behavior provided consistent support for the proposed distinction
between self-efficacy and controllability. Confirmatory as well as exploratory
factor analyses revealed two clearly separable factors, and there was very good
agreement on the type of items that load highly on these factors. Furthermore, the
scales derived for the two factors demonstrated high internal consistencies.
Inspection of Table 2 also shows that the two factors differed considerably in
their predictive validity. Whereas the addition of perceived self-efficacy always
improved prediction of intentions and, in two instances, the prediction of behaviors, perceived controllability had no significant effects on intentions and in only
one case did it account for a significant proportion of variance in behavior. These
findings are to some degree compatible with the results of the meta-analysis by
Cheung and Chen (2000). This analysis showed that self-efficacy measures
accounted for additional variance in intentions as well as behaviors, but controllability items predicted intentions only when combined with self-efficacy items.
A pure measure of perceived controllability did, however, account for additional
variance in behavior.
Perceived Behavioral Control Versus Locus of Control
Many factors may facilitate or impede performance of a behavior. Some of
these factors, including skills and willpower, are internal to the individual while
other factors, such as task demands and the actions of another person, are located
externally (Ajzen, 1985). The distinction between internal and external causes of
a behavior can have important implications. For instance, responsibility for success or failure is attributed to the actor when perceived as caused by internal factors (ability or effort), but less so when perceived to be due to external factors
(task difficulty or luck; Weiner, Frieze, Kukla, Reed, & Rosenbaum, 1971;
Weiner & Kukla, 1970). Unfortunately, the internal versus external locus of a
control factor is often confused with control or lack of control over performance
of the behavior. This confusion can perhaps be traced to the concept ofperceived
locus of control (Rotter, 1966). People are said to differ in the extent to which
they view rewards, punishments, or other events in their lives as caused by their
own actions or by factors beyond their control. In a somewhat misleading
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PERCEIVED BEHAVIORAL CONTROL
fashion, perceived behavioral control over outcomes is termed internal locus of
control whereas the perception that outcomes are determined by nonbehavioral
factors is termed external locus of control. However, closer analysis reveals that
perceived control over an outcome or event is independent of the internal or
external locus of the factors responsible for it. For instance, fear of flying is an
internal factor but people may nevertheless feel that they have little control over
it. Conversely, cooperation by another person is external, yet we may believe that
we would encounter little difficulty in securing the needed cooperation. In fact,
the same factor C for example, ability, an internal factor C is viewed by some
people as malleable and potentially under volitional control, and by other people
as immutable and hence not amenable to control (Dweck & Leggett, 1988; Hong,
Chiu, Dweck, Lin, & Wan, 1999).
The mistaken equation of control over performance of a behavior with internal locus, and lack of control with external locus, is also apparent in discussions
of self-efficacy versus controllability. Self-efficacy beliefs are said to reflect
internal factors whereas beliefs about the controllability of the behavior are
assumed to deal with external factors (e.g., Armitage & Conner, 1999b;
Manstead & van Eekelen, 1998; Terry & O’Leary, 1995). To be sure, the empirical evidence leaves little doubt that perceived self-efficacy differs substantially
from perceived controllability. Items that load highly on the self-efficacy factor
deal with the ease or difficulty of performing a behavior, with people’s confidence that they can perform it if they want to do so. On the other hand, controllability involves people’s beliefs that they have control over the behavior, that
performance or nonperformance of the behavior is up to them. However, the fact
that self-efficacy beliefs can be reliably distinguished from perceived controllability tells us very little about the nature of these constructs. Specifically, no
independent evidence has been provided for the view that self-efficacy reflects
internal barriers and facilitators whereas perceived controllability reflects beliefs
about the operation of external factors. The ease or difficulty of performing a
behavior is conceptually independent of internal versus external locus. I may
believe that it would be easy for me to eat a low-fat diet because I have familiarized myself with the fat contents of various foods (an internal factor) or because
low-fat foods are readily available (an external factor). Similarly, I may believe
that I have limited control over eating a low-fat diet because I have little willpower (an internal factor) or because the dining hall where I have most of my
meals provides no information about the fat content of the food that is served (an
external factor). Most likely, perceived ease or difficulty of performing a behavior reflects beliefs about the presence of internal as well as external factors that
may further or impede performance of a behavior, and the same is true of perceived controllability.
Consistent with this line of reasoning, perceived behavioral control in the theory of planned behavior refers generally to people’s expectations regarding the
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676 ICEK AJZEN
677
degree to which they are capable of performing a given behavior, the extent to
which they have the requisite resources and believe they can overcome whatever
obstacles they may encounter. Whether these resources and obstacles are internal
or external to the person is immaterial. The theory is concerned only with the
extent to which they are believed to be present and are perceived to facilitate or
impede performance of the behavior under consideration. When people believe
that they have the required resources and opportunities (e.g., skills, time, money,
cooperation by others), and that the obstacles they are likely to encounter are few
and manageable, they should have confidence in their ability to perform the
behavior and thus exhibit a high degree of perceived behavioral control. Conversely, when they believe that they lack requisite resources or that they are
likely to encounter serious obstacles, they should judge performance of the
behavior to be relatively difficult and hold a low level of perceived behavioral
control. This is true, whether the resources and obstacles in question are located
internally or externally.
There is also no indication in Bandura’s theorizing that self-efficacy beliefs
are restricted to internal factors (see Bandura, 1997, for an in-depth discussion of
self-efficacy). This is confirmed by examining specific control beliefs sometimes
assessed in work with the self-efficacy construct. For example, in a study dealing
with the ability to find a job and housing (Epel, Bandura, & Zimbardo, 1999),
homeless people were asked to rate, on a 9-point scale, the strength of their
beliefs that they can construct a resum&,impress employers and rental agents,
and get others to help them, all factors that could influence attainment of the
behavioral goals. The ability to construct a rtsumt and impress others could be
considered internal factors, but receiving help from others usually would be classified as an external factor.’
To be sure, it is possible that respondents confronted with questions about
their ability to perform a behavior (self-efficacy items) consider mainly internal
rather than external factors, and that beliefs about external factors are more
readily accessible when respondents ponder whether performance of the behavior
is completely up to them (controllability questions). However, whether this is in
fact the case is an empirical question and cannot be taken for granted. Of the five
studies summarized in Table 2, only one (Armitage & Conner, 1999b) examined
the relation of specific beliefs to the separate measures of self-efficacy and controllability, and it demonstrated the problematic nature of the distinction between
internal and external locus of causality. Seven control beliefs were identified in
this study and were used to predict self-efficacy and controllability by means of
multiple regressions. Some of the beliefs seemed to tap internal factors (e.g., “To
’Note that respondents were asked about their ability to attain control over the external factor.
Thus, although receiving help from others is an external factor whose presence would facilitate performance of the behavior, the crucial issue for perceived control over the behavior is whether people
believe that it is within their power to secure the needed help.
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PERCEIVED BEHAVIORAL CONTROL
ICEK AJZEN
eat a low-fat diet requires willpower”), others external factors (e.g., “Eating a
low-fat diet costs too much money”). Still other beliefs would be difficult to classify. For example, the belief that “eating a low-fat diet is inconvenient” may refer
to an internal disinclination to prepare low-fat foods or to external lack of availability. Similarly, “I don’t always know which foods are low in fat” may reflect a
failure to obtain the needed information (internal) or its lack of availability
(external). As might be expected, therefore, the results of the study were rather
ambiguous. In general, there was considerable overlap between control beliefs
that predicted controllability and self-efficacy. Two beliefs considered to reflect
internal factors (“I do not have enough time to eat a low-fat diet” and “I have
always eaten a low-fat diet”) had significant regression weights in the prediction
of self-efficacy as well as controllability, and examination of the zero-order correlations revealed significant associations between all seven beliefs and each of
the two control indices.
A Hierarchical Model of Perceived Behavioral Control
Control over execution of a behavior depends on the presence of various
internal and external factors that may serve to facilitate or interfere. The fact that
it is possible to distinguish reliably between two different types of control-selfefficacy and controllability-does not invalidate the unitary nature of the construct. To take a more familiar example, few would dispute the claim that it is
possible to distinguish between analytical and verbal types of intelligence. In
fact, finer distinctions can and have been made. Yet, at the same time, we can
usefully think of overall intelligence as a higher-order category with analytical
and verbal components. By the same token, global attitudes are often conceptualized as containing discriminable components of cognition and affect (Rosenberg,
1956), and the same case has been made with respect to attitudes toward a behavior (Ajzen & Driver, 1991). In short, a hierarchical model may best describe the
relations among perceived self-efficacy, perceived controllability, and perceived
behavioral control, as shown in Figure 1. In this model, self-efficacy and controllability are two separate components each assessed by means of different indicators. Yet, together they comprise the higher-order concept of perceived
behavioral control.
This hierarchical model implies that although perceived self-efficacy and perceived controllability can be reliably distinguished, they should nevertheless be
correlated with each other. Unfortunately, the studies that have provided evidence for the discriminant validity of self-efficacy and controllability have failed
to examine convergence. Still, the findings reviewed earlier strongly suggest that
thc two components are correlated. First, control beliefs that are presumed to
reflect one or the other of the two factors are actually found to overlap (Armitage
& Conner, 1999b). Second, the fact that an oblique factor solution can provide a
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678
679
Perceived
behavioral
control
controlla-
Figure 1. Hierarchical model of perceived behavioral control.
good fit to the data (Manstead & van Eekelen, 1998) suggests a substantial
correlation between the components. Finally, mixed measures that contain selfefficacy as well as controllability items show considerable internal consistency
(Cheung & Chan, 2000). In fact, the highest internal consistency was reported for
a large set of mixed items (Sparks et al., 1997).
Often adapting items used in prior investigations, most studies reported in the
literature have assessed perceived behavioral control by means of a few arbitrarily
selected questions whose reliability was not established in prior research, a practice that is contrary to recommended scale construction procedures (Fishbein &
Ajzen, 1975). My colleagues and I are guilty of similarly negligent practices in
our own research. As a result, measures of perceived behavioral control have often
lacked high internal consistency. The findings reviewed earlier indicate that this is
not an inevitable property of inclusive measures. Careful selection of control items
in formative research can produce measures of perceived behavioral control that
reflect self-efficacy as well as controllability, yet have good psychometric properties. For some purposes, it will be sufficient to compute a single overall index of
perceived behavioral control, but at other times the objectives of a research program may require separate measures of self-efficacy and controllability.
Summary and Conclusions
Perceived control over performance of a behavior can account for considerable variance in intentions and actions. However, ambiguities surrounding the
concept of perceived behavioral control have tended to create uncertainties and to
impede progress. The present article attempted to clarify conceptual ambiguities
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PERCEIVED BEHAVIORAL CONTROL
ICEK AJZEN
and resolve issues related to the operationalization of perceived behavioral
control. Recent research has demonstrated that the overarching concept of perceived behavioral control, as commonly assessed, is comprised of two components: self-efficacy (dealing largely with the ease or difficulty of performing a
behavior) and controllability (the extent to which performance is up to the actor).
Contrary to a widely accepted view, it was argued that self-efficacy expectations
do not necessarily correspond to beliefs about internal control factors, and that
controllability expectations have no necessary basis in the perceived operation of
external factors. Instead, it was suggested that self-efficacy and controllability
may both reflect beliefs about the presence of internal as well as external factors.
Rather than making a priori assumptions about the internal or external locus of
self-efficacy and controllability, this issue is best treated as an empirical question.
Also of theoretical significance, the present article tried to dispel the notion
that self-efficacy and controllability are incompatible with, or independent of,
each other. Although factor analyses of perceived behavioral control items provide clear and consistent evidence for the distinction, there is sufficient commonality between self-efficacy and controllability to suggest a two-level hierarchical
model. In this model, perceived behavioral control is the overarching, superordinate construct that is comprised of two lower-level components: self-efficacy and
controllability. This view of the control component in the theory of planned
behavior implies that measures of perceived behavioral control should contain
items that assess self-efficacy as well as controllability. Depending on the purpose of the investigation, a decision can be made to aggregate over all items,
treating perceived behavioral control as a unitary factor, or to distinguish
between self-efficacy and controllability by entering separate indices into the
prediction equation.
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