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Accident Analysis and Prevention 43 (2011) 1660–1665
Contents lists available at ScienceDirect
Accident Analysis and Prevention
journal homepage: www.elsevier.com/locate/aap
Do young novice drivers overestimate their driving skills more than experienced
drivers? Different methods lead to different conclusions
S. De Craen a,∗ , D.A.M. Twisk a , M.P. Hagenzieker a,b , H. Elffers c , K.A. Brookhuis b,d
a
SWOV Institute for Road Safety Research, Duindoorn 32, 2262 AR Leidschendam, the Netherlands
Delft University of Technology, Faculty Technology, Policy and Management, Jaffalaan 5, 2628 BX Delft, the Netherlands
c
Netherlands Institute for the Study of Crime and Law Enforcement NSCR, PO Box 71304, 1008 BH, Amsterdam, the Netherlands
d
University of Groningen, Department of Psychology, Faculty of Behavioural and Social Sciences, Grote Kruisstraat 2-1, 9712 TS Groningen, the Netherlands
b
a r t i c l e
i n f o
Article history:
Received 18 March 2009
Received in revised form 22 March 2011
Accepted 25 March 2011
Keywords:
Road safety
Young novice drivers
Assessment of skills
On-road driving assessment
a b s t r a c t
In this study we argue that drivers have to make an assessment of their own driving skills, in order
to sufficiently adapt to their task demands in traffic. There are indications that drivers in general, but
novice drivers in particular, overestimate their driving skills. However, study results differ on the subject
of self-assessment of skills. The objectives of this paper are (1) to study whether novice drivers indeed
overestimate their driving skills more than experienced drivers; and (2) to evaluate the influence of the
method to measure self-assessment of skills (i.e. comparison to ‘average’ and ‘peer’ driver versus independent measures of own performance). The results show that the conclusion of whether novice drivers
overestimate their driving skills is highly affected by the method chosen to measure self-assessment of
skills. When drivers are asked to compare themselves to the average and peer driver, we can conclude that
novice drivers are not as optimistic about their driving skills as has been reported in the past. They seem
to recognize that they are not as skilled (yet) as the average driver. However, when comparing their selfassessment with their actual behaviour there are indications that they overestimate their driving skills.
© 2011 Elsevier Ltd. All rights reserved.
1. Introduction
Young, novice drivers have a higher crash rate than all other age
categories in motorised countries (see e.g.: Engström et al., 2003;
Mayhew et al., 2006; OECD - ECMT, 2006). Since the driving task
is “self-paced”, a driver can reduce task demands (e.g. by reducing speed or increasing following distance), and thus making the
driving task easier (Fuller, 2005, 2008). In theory, this strategy may
be successful in overcoming the limitations of novice drivers’ performance; a novice driver can decrease task demands to fit his/her
(deficient) level of driving skills. However, in order to sufficiently
adapt task demands, a driver has to make a correct assessment
of his/her own driving skills. There are indications that especially
young novice drivers are not very accurate in the assessment of
their driving skills (OECD - ECMT, 2006), and that their overestimation of driving skills in particular, is related to the high crash
risk of young, novice drivers (Gregersen, 1996).
In the past, overestimation of skill, also called the optimism
bias (Svenson, 1981; Deery, 1999; Weinstein and Lyon, 1999) or
self-enhancement bias (Brown, 1986; Walton, 1999), has been
∗ Corresponding author. Tel.: +31 70317 3333; fax: +31 70320 1261.
E-mail address: Saskia.de.Craen@swov.nl (S. De Craen).
0001-4575/$ – see front matter © 2011 Elsevier Ltd. All rights reserved.
doi:10.1016/j.aap.2011.03.024
investigated by simply asking drivers to compare their skills with
the ‘average driver’ in a questionnaire. Results show that drivers
rate themselves to be better drivers than the average driver
(Mccormick et al., 1986; Mckenna et al., 1991; Delhomme, 1996).
Particularly novice drivers are assumed to have an even poorer perception of their actual ability, they overestimate their ability more
than experienced drivers do (OECD - ECMT, 2006). However, not
all studies into overestimation of skills reach the same conclusion.
Mayhew and Simpson (1995) provide an extensive overview of
studies into the assessment of skill. They have found studies indicating that young drivers are especially overconfident. However,
other studies indicated that young drivers do not differ from older
drivers in self-assessment, or have shown that young drivers are
overconfident, but not in all driving situations. Finally, Mayhew and
Simpson also report studies showing that young drivers express
less overconfidence than older drivers. More recently, Waylen et al.
(2004) found that expert police drivers overestimate their skill to
the same degree as novices. However, it should be noted that the
‘novice’ drivers in this study had their drivers licence for 9.7 years
on average and their mean age was 28.2 years. A longitudinal questionnaire study in the United Kingdom (Grayson and Elliott, 2004),
reported varying levels of confidence, dependent on the amount of
time novice drivers held their drivers’ license. Immediately after
passing their exam drivers reported having much confidence in
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S. De Craen et al. / Accident Analysis and Prevention 43 (2011) 1660–1665
their driving skills. After a few months, participants probably developed a more realistic view of the demands of traffic and their own
skills, because six months and twelve months after passing the driving test, their confidence level decreased significantly. After a year
of driving experience the confidence level started to increase again,
but it never reached the high level just after passing the driving test.
Most of the disagreement in the studies can be explained by
the method used to measure overconfidence (see also Sundström,
2008b, for a review on the measurement of self-assessment). Sometimes drivers had to compare themselves with ‘the average driver’,
sometimes they had to compare themselves with ‘someone from
their peers’. With this method, respondents were not only asked
to make an assessment of their own driving skill, but they also
had to make an assessment of the driving skill of an ‘average
driver’ or a ‘peer’. But who is the ‘average driver’? As Groeger
(2000) points out, ‘average’ may be a negative rather than neutral
descriptor, and traffic would be very unsafe if the average driver
is only a mediocre driver. Besides this theoretical problem, the
interpretation of results also differs. If a certain group expresses
high confidence in their own skills, it is frequently assumed that
this assessment is incorrect. But what if their actual skill level is
indeed higher than the comparison group? For example, Mathews
and Moran (1986), show results indicating that a group of young,
novice drivers express about the same confidence in comparison
with the average driver as an older, more experienced group. However, the authors reason, as the group of young, novice drivers have
a higher crash risk, their expressed confidence is further from the
truth that the confidence of the experienced group.
The solution to these difficulties with interpretation can be
resolved, by letting drivers make an assessment of their own driving
skills and compare this with their actual driving skills. In domains
other than driving, self-assessment of skills has been related to a
more objective measure of the skill, rather than group average.
For example, Kruger and Dunning (1999) compared actual performance with assessed performance, and found that participants
scoring in the bottom quartile on tests of humour, grammar, and
logic reasoning grossly overestimated their test performance and
ability. In some studies concerning driving skills, self-assessment
was also compared to an independent measure. Delhomme and
Meyer (2000) compared male drivers’ expectation on how many
cones they would knock over on a track with their actual performance. The results showed that less experienced drivers had higher
levels of expected performance on the task than the more experienced drivers in the study. Horrey et al. (2008, 2009) conducted a
series of experiments in which they compared younger and older
drivers’ expectations about the effect of distraction (completing a
series of tasks on a cell phone) with their actual performance while
driving around a course in an instrumented vehicle. The results
showed that drivers were generally not able to assess the magnitude of the distraction effects. More specifically, Horrey et al. (2008)
found that young male drivers who thought they performed better in a stopping task actually performed worse than others. No
such difference between estimated and actual performance loss
was found for the older male drivers or the female drivers. Overall,
these studies indicate that, for these very specific tasks on a track,
young, novice and male drivers overestimate their performance on
these tasks. This could be an indication that young novice drivers
also overestimate their general driving skills.
Recently, Sundström (2008a) compared novice drivers’ performance on the theory and practical driving test with drivers’
assessment on how well they would perform on these tests. Sundström found only a weak relationship between predicted and actual
performance on these tests, with performance on the theory test
having the strongest relationship with perceived performance. In
contrast, Mynttinen et al. (2009) concluded on the basis of a similar
study, that a large proportion of driving candidates made realistic
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self-assessments of their driver competence. Between 40% and 50%
of respectively Dutch and Finnish candidates made realistic assessments and “only” 40% to 30% overestimated their competence. Both
studies, however, made no comparison between novice and experienced drivers. Therefore, it is still inconclusive whether novice
drivers overestimate their skills more than experienced drivers do.
In addition, it is not very clear how these results should be interpreted: If approximately half of the novice drivers make a realistic
assessment, does this indicate that novice drivers as a group are
accurate in their assessment or the opposite: that they are not?
To sum up, results of previous studies differ considerably on
the subject of self-assessment of driving skills. This can (partly)
be explained by different approaches used; (a) comparison of a
drivers’ assessment with the group average or (b) comparison of
the assessment of each driver to an independent measures of skills.
The current study elaborates on results presented at the Young
Researchers Seminar (De Craen et al., 2007a) and aims (1) to study
whether novice drivers indeed overestimate their driving skills
more than experienced drivers; and (2) to evaluate the influence of
method effects (i.e. comparison to ‘average’ and ‘peer’ driver versus
independent measures of own performance).
2. Method
2.1. Participants
Two groups of drivers, novice and experienced, were selected
for this study. In collaboration with the CBR, the Dutch Driving
Test Organisation, all drivers under the age of 25, who had passed
their driving test in September 2005, were invited to participate in
this project. Within two weeks we contacted 553 drivers of whom
509 agreed to participate. This is a response rate of 92% for the
novice drivers. The experienced drivers were recruited differently.
RDW, the Dutch Vehicle Technology and Information Centre, randomly provided the names of 999 experienced drivers, who had
held their licence for more than 10 years and were not older than
50. The first 179 drivers that responded positively to our invitation
to participate were included in the study.
After some initial drop-out (12%) the total sample consisted
of 607 drivers; 173 experienced drivers (drop-out = 3%) and 434
novice drivers (drop-out = 15%). The experienced drivers had a
mean age of 41 (SD = 5.6 years), had held their license for more
than 10 years (M = 20; SD = 5.7 years), and 49% of the experienced
drivers were male. The novice drivers had only two weeks of driving experience when they completed the first questionnaire; they
had a mean age of 20 (SD = 1.8 years), 52% being male.
2.2. Design
The results reported here were collected within a larger longitudinal study, in which novice and experienced drivers completed
questionnaires over a two-year period. With such a longitudinal design it is possible that drivers who, on a regular basis, fill
in questionnaires about traffic behaviour and traffic safety will
become more aware of the risks of driving than drivers who perhaps never even think about traffic safety (Falk, 2010). In order to
rule out these and other learning effects (e.g. Bouchet et al., 1996)
as alternative explanations for our results, the novice drivers were
randomly divided into two groups. A total of 297 novice drivers
(Novice I) started filling in questionnaires and diaries in October
2005, the remaining 137 novice drivers (Novice II) were selected
for participation in September 2005, but did not start filling in the
questionnaires until May 2006.
A total of 130 drivers (83 novice drivers and 47 experienced
drivers) were randomly drawn from the sample, and invited to par-
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S. De Craen et al. / Accident Analysis and Prevention 43 (2011) 1660–1665
ticipate in an on-road driving assessment. Because not all novice
drivers in the longitudinal study started at the same time, half of
the novice drivers (Novice I) filled out the questionnaire first and
then participated in an on-road driving assessment, and half of the
novice drives (Novice II) first participated in the driving assessment
and then filled out the questionnaire. All experienced drivers first
filled out the questionnaire and then participated in the driving
assessment.
2.3. Instruments
2.3.1. Questionnaire
The participants completed questionnaires on a website that
was designed for this study. In addition to some background information (age, occupation, etc.) the questionnaire contained eight
questions on driver confidence. Two questions asked participants
how confident they are as a driver, and how much danger they
perceive in traffic, without any reference to other drivers. The
respondents rated on a five-point scale whether they were: (1)
very confident, (2) confident, (3) neutral, (4) insecure or (5) very
insecure. Regarding traffic safety, they responded with either: (1)
traffic is very dangerous, (2) traffic is quite dangerous, (3) neutral,
(4) traffic is quite safe, or (5) traffic is very safe. In the remaining
six questions the participants were asked to compare themselves,
with the average and peer driver, on their driving skill, ability to
cope with hazards, and their risk of being involved in a crash. They
indicated on a five point scale whether they viewed themselves as
either (1) a much better, (2) a better, (3) not a better nor a worse,
(4) a worse, or (5) a much worse driver compared with the average
or peer driver.
2.3.2. On-road driving assessment
The driving assessment consisted of half an hour driving on different road types. The rides were carried out at two Dutch Driving
Test locations in the cities of Rotterdam and Rijswijk. In both cities
the participants drove a fixed route, which was selected in such a
way that the routes in Rijswijk and Rotterdam were as comparable
as possible. Because of traffic jams, on a few occasions an alternative
route was driven. In order to make the ride resemble an ordinary
trip, the participants were instructed to follow signposts on part of
the route (e.g., “Use the sign posts to find your way to the station”).
For the remaining part, “go left/go right” instructions were used.
The driving assessments were conducted by three professional
driving license examiners. Previous to the actual drives, each examiner drove both routes in Rotterdam and Rijswijk three times, with
different participants. The purpose of these ‘pilot-drives’ was to
familiarize the examiners with the routes, and to standardize the
assessments of the examiners. The driving examiners were aware
of the objective of the study. As this could bias their assessment
(e.g. young drivers are ‘most likely novice drivers’), the examiners
were explicitly informed that the group consisted of different types
of drivers, some older who rarely drove, and some younger who
drove on a regular basis (e.g. as a professional courier). In addition,
the participants were instructed not to mention anything about
their prior driving experiences to the examiner.
The examiners were asked to rate the drivers on a scale from 0 to
10; on their ‘ability to drive safely’, 5.5 being the pass-fail criterion
in a real driving test. This scale of ‘ability to drive safely’ reflects the
scale on which candidates are assessed in the Dutch driving test and
resembles how school performance is graded in the Netherlands
(i.e. a score of 10 would equal an A+, and a score of 6 would equal
a ‘just passed’ C). Although a certain level of vehicle manoeuvring
skills is necessary, the ‘safe driving’ score is meant to reflect mostly
higher-order-skills, such as appropriate speed choice, hazard perception and anticipating on other road users.
80%
75%
Novice
70%
Percentage of responses
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Experienced
60%
53%
50%
40%
32%
30%
20%
14%
10% 10%
10%
4%
1%
1% 0%
0%
Very
Confident
Neutral
confident
Insecure
Very
insecure
Fig. 1. Confidence in own driving skills. Experienced drivers (n = 166) are more
confident about their own driving skills than novice drivers (n = 421).
2.4. Data analysis
Respondents answered the questions about confidence and danger in traffic on a five-point scale, resulting in ordinal variables. The
difference between experienced and novice drivers on these ordinal variables was analysed using Chi-square tests. Spearman’s Rho
was used to calculate bivariate correlation coefficients between
these ordinal variables. The safe driving scores provided by the
examiner were analysed as an interval variable. F-test univariate
analysis of variance (ANOVA) was used to test for significant differences between experienced and novice drivers. Besides significance
of the results (˛ = .05), also the effect size (Partial èta squared, 2 )
was considered with 2 ≈ .01 as a small, 2 ≈ .06 as a medium, and
2 ≈ .14 as a large effect size (Cohen, 1988).
The scores of three variables in which the participants compared
themselves with the average driver were added up to form a new
variable ‘self-assessed comparison to the average driver’. The internal consistency, or Cronbach’s alpha, of .72 suggested that the three
original variables measured the same construct and adding was a
valid handling of the data. The Cronbach’s alpha of the three variables that measured how participants compared themselves with
peer drivers was .81. The scores on these variables were also added
up to form the new variable ‘self-assessed comparison to peers’.
Finally, these new compound variables were ranked and compared
to the ranking of safe driving scores from the driving assessment.
3. Results
There were no significant differences between the Novice I and
Novice II drivers on demographic variables, responses to the questionnaire or ‘ability to drive safely’ as rated by the examiners. These
drivers were analysed as one group of novice drivers for the remaining analyses.
3.1. Perceived confidence and danger
Experienced and novice drivers did not differ in the amount of
danger they perceived in traffic. There was, however, a difference
in how much confidence drivers had in their own driving skills (see
Fig. 1). Experienced drivers were more confident about their driving
skills than novice drivers (2 (3, N = 587) = 27.89; p < .001)1 .
1
Due to low frequencies, the categories ‘Insecure’ and ‘Very insecure’ were combined into one category.
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S. De Craen et al. / Accident Analysis and Prevention 43 (2011) 1660–1665
Table 1
Comparison of novice drivers (n = 421) and experienced drivers (n = 166) to ‘the
average driver’ and peers; and Chi-square analysis results.
Novice
Experienced
Significance
I am a (much) better driver compared with. . .
Average
32%
51%
Peers
49%
41%
p < .000
n.s.
I have (much) less risk in traffic compared with. . .
Average
30%
44%
Peers
45%
33%
p < .001
p < .009
I am (much) better in coping with hazards in traffic compared with. . .
Average
37%
57%
p < .000
Peers
44%
43%
n.s.
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Table 3
Spearman Rho correlations of self-assessments and examiners ‘safe driving’ score.
Novice (n = 83)
Experienced (n = 47)
.16
−.07
How confident are you concerning
your own driving skills?
What is your opinion about traffic
.19
risks?
I am a (much) better driver compared with. . .
Average
.03
Peers
.18
.07
−.01
I have (much) less risk in traffic compared with. . .
Average
.10
Peers
.32**
−.06
.10
.17
I am (much) better in coping with hazards in traffic compared with. . .
Average
−.09
.02
Peers
.14
−.08
3.2. Comparison with ‘average’ driver and peers
Significant correlations are indicated: *p < .05; **p < .01.
The participants were asked to compare themselves with the
average driver and to their peers. Table 1 shows the percentages of
positive answers; for example the percentage of drivers believing
to be ‘better drivers’ or ‘much better drivers’.
The difference between novice and experienced drivers was
tested using Chi-square analysis. The right-hand column of Table 1
shows the significance level of these tests. When comparing with
the average driver, a significant higher proportion of experienced
drivers see themselves as ‘(much) better drivers’, having ‘(much)
less risk in traffic’, and being ‘(much) better in coping with hazards’.
However, when comparing to peer drivers, experienced drivers
are less positive and novice drivers are more positive, resulting
in a small, not significant, difference between novice and experienced drivers. Only regarding their perceived risks in traffic, novice
drivers are significantly more optimistic than experienced drivers
(see Table 1).
3.3. Comparison with expert’s opinion
The drivers’ assessments were also compared to the examiner’s
opinion of driving skills. Table 2 shows the statistics of the grade for
safe driving. ANOVA showed that this grade was significantly higher
for experienced drivers (F(1, 126) = 29.34; p < .001). The effect size
(2 = .16) indicates that this is a large effect. Table 2 furthermore
shows that 70% of the novice drivers would have passed if the driving assessment was an actual driving test, compared to 94% of the
experienced drivers.
Spearman’s correlation coefficients were calculated to test for
correlation between the safe driving scores and the drivers’ perception of skills and risks in traffic (see Table 3). In general, no
correlation was found between drivers’ perception of skills or risks
and the examiner’s ‘safe driving’ score. One exception was the positive relationship indicating that novice drivers, who believe they
are less at risk in traffic than their peers, were indeed rated as being
safer in the driving assessment.
In this study the nature of the lack of correlation between the
drivers’ self-assessments and the examiners opinion is of special
interest. In order to graphically depict this (lack of) relationship, the
measures of self-assessment and the examiners opinion were converted into percentiles. That is, the total group of 130 drivers was
sorted on the basis of their performance on the driving assessment
Table 2
Mean grade and pass rate on-road driving assessment.
N
Mean score
Standard deviation
Pass rate
Novice drivers
Experienced drivers
83
5.8
1.2
70%
47
6.8
0.9
94%
and was assigned a rank. For example, falling in the 5th percentile in the driving assessment indicates that the driver belongs
to the worst 5% of drivers. The same was done for the compound
variables ‘self-assessed comparison to the average driver’ and ‘selfassessed comparison to peers’. The dotted lines in Fig. 2 indicate
the driver’s percentile on the grades provided by the examiner. The
solid lines represent the percentile on the drivers’ self-assessments.
The whole sample was divided into four groups, each with about
25% of all drivers in the sample, displayed on the x-axes of Fig. 2.
All drivers scoring less than 5.5 on the driving assessment form one
group. These are drivers who would have failed the driving assessment if it were an actual driving test. The second group is formed by
drivers who scored between 5.5 and 6 on the driving assessment.
The third group scored between 6 and 7. And the final group performed best on the driving assessment, with a score higher than 7.
Note that the dotted line only serves as a reference line of ‘actual’
performance to which the drivers’ assessments are compared. In
general, less distance between the dotted and solid line indicates
more agreement between drivers’ assessments and examiners’ safe
driving scores.
Fig. 2 shows the relationship between the self-assessed comparison to the average or peer driver and the examiner’s opinion.
The higher the solid line, the more drivers believe they are better
drivers, better in coping with hazards and are less at risk in traffic
than the average driver. The left-hand side of the figure shows a
more optimistic view of the novice drivers who failed the driving
test; and a moderate view of experienced drivers performing best
on the driving test when drivers compare themselves to the average driver. When novice drivers compare themselves with their
peers (right-hand side of Fig. 2) the figure is more similar to the
examiner’s opinion, although the drivers that just barely passed
the driving test (score between 5.5 and 6) are still more optimistic
about their driving skills and risks in traffic than the assessment by
the examiner.
4. Discussion
The objectives of this paper were (1) to study whether novice
drivers indeed overestimate their driving skills more than experienced drivers; and (2) to evaluate the influence of method effects
(i.e. comparison to ‘average’ and ‘peer’ driver versus independent
measures of own performance). The results show that the conclusion of whether novice drivers overestimate their driving skills
more than experienced drivers is highly affected by the method
chosen to measure this overestimation of skills. When drivers
are asked to compare themselves with ‘the average driver’ on
confidence and perceived danger in traffic, it seems that novice
drivers are modest. That is, experienced drivers are more optimistic
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S. De Craen et al. / Accident Analysis and Prevention 43 (2011) 1660–1665
Average
Peers
Observed
(examiner)
Perceived
Driving assessment score
Fig. 2. Observed driving skills versus self-assessed comparison to the average driver (left) and comparison to peers (right). The dotted lines indicate the grades provided by
the examiner, the solid lines represent the percentile on the drivers’ self-assessments.
about their driving skill and risks in traffic than novice drivers. If
compared with the average driver, significantly more experienced
drivers see themselves as ‘(much) better drivers’, having ‘(far) less
risk in traffic’, and being ‘(much) better in coping with hazards’. If
compared to ‘peer drivers’, however, novice drivers are more optimistic and experienced drivers are more pessimistic. In addition,
novice drivers are significantly less concerned than experienced
drivers with the risks in traffic.
The general result reported in the introduction that the majority of drivers rate themselves to be better drivers than the average
driver (Svenson, 1981; Mccormick et al., 1986; Delhomme, 1996),
was not replicated in this study. Partly, this can be explained by the
structure of the questionnaire. In our study, participants assessed
their skills on a five point scale, whereas, for example, Svenson
(1981) and Mccormick et al. (1986) used respectively ten and seven
point scales. In addition, our method differs from the abovementioned studies in that we used a website to collect our data, instead
of participants being in the same room with the researcher and
other participants. Groeger and Brown (1989) replicated Svenson’s
results, but explained most of the overconfidence as an artefact;
“people seek not to respond accurately, but to appear in a good
light with respect to their peers”. On the other hand, Mckenna et al.
(1991) used a mail system to collect their data anonymously, and
still found that drivers overestimate their skills in different driving scenarios. In conclusion, our deviant results can only partly be
explained by the different methods used.
In our second approach, self-assessment of skills was compared with a more independent measure of these skills, instead of
the group averages. The results indicate little correlation between
drivers’ perception of risks and driving skills and expert assessment
of ‘ability to drive safely’. With the exception of the positive relationship indicating that novice drivers who believe they are more
at risk in traffic than their peers performed better on the driving
assessment. It is important to realize that the absence of a correlation between self-assessment and the expert opinion does not
necessarily prove that there is no relationship. It merely shows that
the relationship was not found in this particular study. The statistical significance of results is for example also related to the number
of participants, which was rather low in the current study. Because
it is not possible to statistically test the absence of a relationship, the
assessments of the driver and the examiner were compared visually. This comparison suggests that the group of novice drivers who
performed worst on the driving assessment (failed the test) have an
average level of confidence. Experienced drivers failing the driving
test were less confident about their driving skills. For experienced
drivers there was a difference between self-assessment and performance, in the group who performed best on the driving assessment.
These drivers were less positive as compared to their performance
on the driving assessment.
The limitation of comparison with this type of ‘independent’
measure lies in the quality of the assessment. There have been some
doubts about the reliability and validity of a driving assessment
(Maycock, 2002; Baughan et al., 2005; Senserrick and Haworth,
2005). On the other hand, there are indications that driving
behaviour during a driving assessment is less influenced by the
presence of an observer than has been suggested in the past
(Quimby et al., 1999; Grayson et al., 2003). An additional problem
with the use of the driving assessment as an independent measure of driving skills was that the examiners were aware of the
age of the participants. As this could bias their assessment (e.g.
young drivers are ‘most likely novice drivers’), some precautions
were taken. For example, the examiners were explicitly informed
that the groups consisted of different types of drivers, some older
who rarely drove, and some younger who drove on a regular basis
(e.g. as a professional courier). The participants were also instructed
not to mention anything about their prior driving experiences to
the examiner. In addition, because of these concerns, a small scale
experiment was designed to study how observers are influenced by
the appearance of drivers (De Craen and Van Der Zwan, submitted
for publication). No evidence for a possible bias as a result of the
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S. De Craen et al. / Accident Analysis and Prevention 43 (2011) 1660–1665
apparent age of the participants was found, however, could neither
be ruled out completely.
When comparing the results from the two approaches we can
conclude that novice drivers are not as optimistic about their driving skills as has been thought in the past. They seem to recognize
that they are not as skilled (yet) as the average driver. However,
when comparing their self-assessment with the expert’s opinion
there are indications that they overestimate their driving skills
more than experienced drivers. In addition, this study shows that
the method chosen to measure self-assessment of driving skills has
a major impact on the conclusions of the study. Because of the theoretical issues associated with asking drivers to compare themselves
with the average or peer driver, it seems indispensable to compare
the drivers’ assessment to an independent measure of driving skills
in future studies on self-assessment of driving skills. Concluding,
whether or not drivers overestimate (or underestimate) their driving skills is only relevant for traffic safety when it leads to deviant
traffic behaviour. As was mentioned in the introduction, adequate
assessment of driving skills is necessary to sufficiently adapt to task
demands. Other results of our longitudinal study suggest that overconfident drivers indeed adapt their behaviour less to the traffic
situation and reported more violating behaviour (De Craen et al.,
2007b; De Craen, 2010).
Acknowledgement
This study was facilitated by the Dutch Driving Test
Organisation.
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