Mathematical anxiety (MA) is a feeling of apprehension and fear related to mathematics
(e.g., Ashcraft, 2002). High levels of MA have serious implications for a person's
life prospects, as they can lead to an avoidance of elective maths courses, which,
in turn, affects people's career opportunities (e.g., Hembree, 1990). The societal
importance of MA is also underlined by the fact that, according to the latest report
of the Organization for Economic Co-operation and Development, on average 30.6% of
adolescents get very nervous when they have to do maths problems (OECD, 2015).
Research in this area has shown an exponential growth in recent years, with the number
of papers dealing with MA increasing from 60 in the year 2000 to 330 papers published
in 2015 (based on Scopus statistics accessed on 20/06/2016). Over half of these papers
have reported research carried out in North America, mostly in the United States,
whereas less than 20% of this work was conducted in Europe. The majority of these
papers appeared in educational journals, with a smaller proportion published in cognitive
or developmental journals, and even fewer in neuroscience journals or in specialist
journals on emotion or stress.
Against this backdrop, it is easier to see the contribution of this collection of
papers to the literature. Most of the contributors are from European countries, and
many papers deal with relatively less-investigated issues, including the relationship
between MA and social influences, the measurement of MA, the physiological correlates
of MA, and MA outside the classroom. The Topic also includes a number of review papers
that, besides summarizing existing findings, highlight some important gaps in our
current knowledge and make recommendations for future investigations. Finally, some
papers present methodological innovations.
MA research: the first 60 years and beyond
Dowker et al. summarize many of the most important MA-related findings since the first
publication on the topic almost 60 years ago. Dowker et al. discuss the separability
of MA from other related constructs (e.g., general- and test-anxiety, and attitudes
to mathematics), as well as some issues regarding the measurement of MA. Dowker et
al. also explore some other correlates of MA (e.g., physiological and socio-cultural
processes), and tentative approaches to reduce or prevent MA. Finally, the paper also
points to directions for future research, some of which (e.g., the relationship between
gender stereotypes and MA, and the “chicken or egg” question of the link between MA
and mathematics performance) were in the focus of other contributions.
MA and basic processing of numbers
Another review paper by Artemenko et al. provides an overview of the neural correlates
of MA. Artemenko et al. argue that whereas behavioral studies mostly observe an influence
of MA on difficult maths tasks, neurophysiological studies show that processing efficiency
is also affected in basic number processing. This conclusion is in line with Dietrich
et al. who replicated previous findings by Maloney et al. (2011) and Núñez-Peña and
Suárez-Pellicioni (2014) by showing a larger symbolic distance effect in maths anxious
individuals. At the same time, Dietrich et al. question earlier conclusions that maths
anxious individuals have a deficient approximate number system.
MA, attentional resources, working memory, and inhibition
Artemenko et al. also discuss the neurological evidence supporting Eysenck et al.'s
(2007) attentional control theory. According to this theory, attentional, and processing
resources are impaired by worry, and this can only be compensated by increased cognitive
effort. Four contributions within the Topic address related issues. Both Rubinsten
et al. and Suárez-Pellicioni et al. present behavioral evidence for an attentional
bias in MA toward threatening (i.e., maths-related) stimuli. These authors argue that
this bias could lead to the exacerbation of MA, as it could result in an overestimation
of the level of threat in maths-related situations. In another contribution, Núñez-Peña
and Suárez-Pellicioni also present evidence from event-related potentials for attentional
and processing differences between high- and low-MA individuals, while they perform
multi-digit additions.
Passolunghi et al. compare the academic achievement and cognitive profiles of secondary
school students with high and low MA. Passolunghi et al. show that, besides lower
achievement in mathematics, students with high MA perform less well in verbal short-term
memory and working memory tasks, and are less able to inhibit irrelevant information.
Additionally, measures of inhibitory control and fact retrieval were the best predictors
for identifying students with high or low MA. A notable methodological feature of
the studies by Núñez-Peña and Suárez-Pellicioni, Passolunghi et al., and Suárez-Pellicioni
et al. is that they recruited participants with particularly high/low levels of MA,
and compared these extreme groups.
The relationship between MA and maths performance
Whereas it is well-established that there is a moderate negative relationship between
MA and maths performance (see Hembree, 1990 and Ma, 1999 for meta-analyses), the evidence
regarding the direction of a possible causal link is mixed. In the previous sections
we described evidence for the potential of MA to disrupt mathematical performance,
and even very basic maths-related processing. Besides evidence for this Debilitating
Anxiety Model, Carey et al. also review the findings supporting the Deficit Theory
(i.e., that poor maths performance might elicit MA; cf., Tobias, 1986). Carey et al.
propose that instead of trying to decide between these proposals, a Reciprocal Theory
(where the causal link between MA and maths performance is bidirectional) seems most
plausible. Nevertheless, they also point to the scarcity of longitudinal research
that could provide further evidence for the Deficit Theory.
The only paper in the Topic dealing with Statistics Anxiety (SA; Macher et al.) also
discusses the link between anxiety and performance. Macher et al. propose that although
during examinations SA might disrupt performance, SA could be related to greater motivation
to avoid failure, and, thus, could be positively linked to the effort invested into
exam preparation. In other words, SA can both support and hinder performance, although
these effects might arise at different points in time. The question of expectations
about maths performance prior to testing is further addressed by Erickson and Heit.
Identification with maths, maths confidence, and MA
Erickson and Heit investigate the link between self-confidence and actual performance
in maths, biology and literature in university undergraduates. Erikson and Heit compare
students' performance estimates before and after a test in each subject. Students
generally overestimated their performance when they made predictions before completing
the tests, but this tendency was strongest in the case of maths. This overconfidence
in maths is interesting, given that Study 2 demonstrated high levels of MA in participants.
Erikson and Heit point out that both MA and overconfidence could lead to avoidance
behaviors, such as spending less time on exam preparation or missing classes.
Necka et al. introduce a single-item measure of self-maths overlap, modeled on Aron
et al.'s (1992) the Inclusion of Other in Self Scale. Necka et al. demonstrate that
self-maths overlap is negatively related to MA. Moreover, MA is more strongly related
to maths performance in individuals with low self-maths overlap (i.e., in individuals
who perceive maths as less self-relevant). Notably, this difference appears to be
only partially explained by the tendency of individuals with high self-maths overlap
to overestimate their maths ability.
Jansen et al. present a new scale to measure the tendency to use maths in everyday
life, and they also investigate its relationship with maths skills, perceived maths
competence and MA in a large adult sample. Jansen et al. report gender differences
in all of these constructs, showing a male advantage. In both genders, perceived maths
competence mediated the link between maths skills and everyday use of maths. In women
only, MA was an additional mediator of the link between maths skills and everyday
use of maths. This study adds to the limited literature on gender differences in the
link between MA and maths performance (e.g., Devine et al., 2012; Hill et al., 2016).
Social influences, gender stereotypes, and MA
The relationship between the development of MA and social influences, such as parents'
endorsement of maths-related gender stereotypes (e.g., Tomasetto et al., 2015) is
a relatively neglected issue within the MA literature. Two contributions to the Topic
have investigated parental influences. Casad et al. demonstrate that parents' MA interacts
with their child's MA to predict the child's self-efficacy, classroom maths performance,
and maths-related attitudes.
Bosman and De Smedt further argue that MA might reflect a maladaptive affect-regulation
mechanism that is characteristic of insecure attachment relationships. Their hypothesis
was supported by the finding that individual differences in MA were related to insecure
attachment, independent of age, sex, and IQ. Additionally, mathematics achievement
was associated with insecure attachment and this effect was mediated by MA.
Bieg et al. extend previous work by Goetz et al. (2013) that showed higher trait MA
in females, but no gender difference in state MA. Bieg et al. demonstrate that the
discrepancy between state and trait MA (i.e., the tendency to overestimate MA) was
stronger in females who endorsed the gender stereotype of maths being a male domain.
Measurement of MA and cross-cultural validity of measurement scales
As most MA scales have been developed in North America, it is important to establish
the cross-cultural validity of these instruments. Cipora et al. investigate the psychometric
properties of the Polish adaptation of the Abbreviated Math Anxiety Scale (AMAS; Hopko
et al., 2003), a widely used 9-item scale. Cipora et al. demonstrate high reliability,
as well as very good construct, convergent and discriminant validity. This adds to
previous work that demonstrated the excellent psychometric properties of the Iranian
(Vahedi and Farrokhi, 2011) and Italian (Primi et al., 2014) adaptations of the AMAS.
Pletzer et al. present the psychometric analysis of a German adaptation of the MARS30-brief
(Suinn and Winston, 2003), and propose that a five-factor model (including Evaluation
Anxiety, Learning Mathematics Anxiety, Everyday Numerical Anxiety, Performance Anxiety,
and Social Responsibility Anxiety) is the best fitting and most parsimonious representation
of the factorial structure of the scale. They also establish the measurement invariance
of the scale across genders, and show that gender differences are specific to Evaluation
Anxiety, Learning Mathematics Anxiety, and Performance Anxiety.
Conclusions and looking ahead to the next 60 years
Extending contributions from North American researchers, the present collection of
papers brings European research into MA to the forefront, while exploring some novel
and less-researched issues, such as MA and basic numerical processing; the social
determinants of MA; and the links between MA, self-concept, and self-confidence.
This Topic also offers some methodological innovations, including comparisons between
extreme groups of high- and low-MA participants, and new measures of self-maths overlap,
as well as using maths in everyday life. Investigating MA in everyday situations could
be an important direction for future research, as recent studies indicate that the
effect of MA extends beyond educational contexts. Specifically, MA has been found
to be linked to decision-making skills (Morsanyi et al., 2014; Silk and Parrott, 2014).
Nevertheless, there are also some topics that remained partially or wholly unaddressed
by these contributions. Although the origins of MA are not well-understood, research
into MA with young children remains scarce (although see e.g., Berkowitz et al., 2015;
Maloney et al., 2015; Ramirez et al., 2016). Longitudinal studies with young children
(e.g., Cargnelutti et al., 2016) would be particularly important for a better understanding
of the origins of MA.
Further investigations into the measurement of MA are also necessary. Researchers
use various instruments (ranging from single-item scales to instruments that consist
of 30 or more items). The psychometric properties of these scales might differ considerably,
and this can result in inconsistencies between the findings of studies. It is also
common that studies with young participants use scales developed for adults, or instruments
that were developed to measure MA in educational contexts are administered to adults
who are no longer in education. Rolison et al. (2016) presented a scale to measure
MA outside academic contexts. Investigations into MA in everyday life could make it
possible to extend this work to new populations (e.g., older adults) and new contexts,
such as decisions about investments, consumer behavior or lifestyle choices.
Author contributions
All authors listed have made substantial, direct, and intellectual contribution to
the work, and approved it for publication.
Funding
The writing of this paper was supported by a Royal Society International Exchanges
grant to KM and CT (reference number: IE150463).
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial
or financial relationships that could be construed as a potential conflict of interest.