Academic confidence

and dyslexia at university

A doctoral thesis
Middlesex University, London


Andrew Dykes B.Ed, M.A, M.Sc, FHEA



Revised March 2020

This thesis is the account of the study, research processes, data analysis and discussion of an attempt to understand more about how the academic confidence of university students with dyslexia in the UK is affected by the identification of their dyslexia.

Data was collected from a sample of university students at a UK university to address an hypothesis that students with identified dyslexia presented lower levels of academic confidence when compared with their non-dyslexic peers. The conclusions supported the hypopthesis, and suggest that focusing on the syndrome as a disability, not least through the process of identification, may be academically counterproductive in the current teaching and learning regimes of UK higher education.



I acknowledge with thanks, the study support and academic guidance provided by the research community at Middlesex University, the Research Degrees Administration Team at the Department of Education and in particular, the advice, interest and encouragement of my supervisory team.

I also express gratitude to Middlesex University for the 3-year Research Studentship funding without which this research project would not have been possible.

Andrew Dykes B.Ed., M.A., M.Sc., CELTA, FHEA

Middlesex University, May 2019



Revised March 2020

This study explored how university students' academic confidence may be affected by them being identified as dyslexic. Contemporary views of dyslexia range from considering it primarily as a literacy-based, specific learning difficulty (BDA, 2017), to a multi-factorial information processing difference (Tamboer, 2016). Currently, dyslexia-identified students at university in the UK are entitled to receive academic support to enable equitable engagement with their studies by defining dyslexia as a disability.


Confidence is a robust dimensional characteristic of individual differences (Stankov, 2012) and academic confidence has been defined as the level of strong belief, firm trust, or sure expectation of responses to the demands of studying at university (Sander and Sander, 2006a). Academic confidence has been linked to academic capability and ultimately, to academic achievement (de la Fuente, 2013). In this study, academic confidence was gauged using the Academic Behavioural Confidence (ABC) Scale, a metric designed to explore and explain differences in the study behaviours and learning strategies of students at university (Sander and Sanders, 2003, 2006a, 2009). The ABC Scale draws from the Social Cognitive Theory (SCT) of Bandura, and particularly the application of SCT to learning through the concept of self-efficacy (Bandura, 1997), considered as the parent construct of academic confidence (op cit, 2006a).


Data was collected by self-report questionnaire from a sample of n=166 university students, who had declared either a dyslexic learning difference or not. By comparing differences in ABC between students with dyslexia and those with no identified dyslexia, evidence emerged that the non-dyslexic students showed significantly higher levels of academic confidence than their dyslexia-identified peers, principally indicated by a large effect size (=1.04). From the non-dyslexic group, a sub-group of quasi-students was identified, being those who presented attributes and characteristics that were similar to those in the dyslexic group. To achieve this, a fresh metric was developed, the Dyslexia Index (Dx) Profiler, which framed dyslexia through the lens of study skills and learning behaviours at university. Existing dyslexia screeners were considered to be ethically inappropriate for this study. The academic confidence of students in the quasi-dyslexic group was compared to those in the dyslexic group, and the remainder of the non-dyslexic group. The quasi-dyslexic students also had significantly higher levels of academic confidence in comparison to their dyslexia-identified peers, indicated by a moderate effect size (= 0.48). For students in the dyslexic group, significant differences in ABC were also revealed as a function of how these students were told of their dyslexia, with those whose dyslexia had been diagnosed as a disability showing the lowest levels of ABC. To further explore more nuanced differences between the groups, both principal component analysis and a tentative regression analysis were used.


The main conclusion drawn from attempts to explain the analysis outcomes is to suggest that identifying dyslexia in university students may be counter-productive, because doing so could negatively impact on academic confidence, and possibly on academic achievement.


Revised March 2020

1.1  Academic confidence and dyslexia at university

This study explores how the academic confidence of students at university is affected by dyslexia-ness, the term used throughout this thesis to describe an individual’s intensity of dyslexic characteristics or dimensions.


The research was about gauging how the dyslexia-ness of students with identified dyslexia, or with previously unidentified dyslexia-like profiles (termed quasi-dyslexia), may impact on their study strategies and processes in relation to their sense of academic purpose. This was achieved by exploring the confidence they express in meeting the academic challenges of university.


Thus, the objective was to determine whether an association exists between levels of dyslexia-ness and levels of academic confidence. The academic confidence of students with few or no indications of dyslexia were used for comparison. In the context of this project, dyslexia is viewed as a learning difference rather than a disability, notably by grounding the study in more recent approaches towards understanding dyslexia as a multifactorial condition (Tamboer et al, 2014; Tamboer et al., 2017). This is the contemporary view that the syndrome impacts on a range of literacy, cognitive and organizational competencies which, through variances in both degree and co-morbidity, can render the dyslexic individual at a disadvantage in conventionally delivered, literacy-based learning environments. This is discussed more comprehensively in Section 2, where a selection of literature pertaining to the nature and aetiology of dyslexia is discussed.


By taking the multifactorial approach to dyslexia, it was necessary to develop an innovative profiler to gauge dyslexia-ness in a way that did not focus on deficit-discrepancy models or on disability, and which avoided ethical issues of disclosure that would have arisen had an existing dyslexia screener been used. This profiler was built from dimensions of dyslexia that have been shown to be typical amongst university students with dyslexia, but which could also be relatable to study behaviours of non-dyslexic students. The development of this profiler is discussed in Section 3.

The study provided evidence to suggest that students who know about their dyslexia present lower levels of academic confidence in comparison to their non-dyslexic peers. The study also showed that the terminology used to tell newly-assessed students of their dyslexia may also have a significant effect on their academic confidence.

This project adds to the limited range of research relating to the academic confidence of university students from minority groups, especially those deemed to have learning disabilities however these might be defined. The outcomes of the study support a contemporary view favouring a shift in the delivery of university learning towards increased inclusivity and accessibility, and particularly to embrace greater learner adaptability and learning flexibility. Encouraging the design and development of more accessible curricula is argued to be preferable to retrofitting the curriculum to the learner (Lancaster, 2008) by way of 'reasonable adjustments' (discussed in sub-section 2.1(I)). An outcome could be that learners with dyslexia might feel more included and less 'different' (e.g.: Dykes, 2008; Thompson et al., 2015). This might be achieved by adopting the principles of Universal Design for Learning (UDL, Rose et al., 1999; Rose & Meyer, 2002), an original approach to redesigning classrooms and curriculum delivery to extend the rights of students with disabilities for better access to the general education curriculum. UDL provides a blueprint for institutions to become accessible and inclusive without the need for differentiation of learning spaces or curriculum delivery, previously thought as the most appropriate way to accommodate the atypical learning needs of disabled students. In UDL environments the principles of inclusivity are embraced, thus ameliorating an emerging disconnect between the 'one-size-fits-all' curriculum and increasingly more diverse communities of learners (Edyburn, 2010).

Thus, it is reasonable to suppose that the positive strengths and qualities that form part of a spectrum of apparent learning differences could be integrated into the development of the learner in ways that would encourage a greater sense of academic agency to emerge through stronger academic confidence. Hence, this may contribute positively towards better and more successful academic outcomes at university (Nicholson et al., 2013). Zimmerman spoke of academic confidence in the context of academic agency (discussed in Section 2), which he described as “a sense of [academic] purpose, this being a product of self-efficacy and academic confidence that is then the major influence on academic accomplishment” (1995, p202). It is through the lens of academic confidence, as a sub-construct of academic self-efficacy (Sander & Sanders, 2006a), that this research project has been tackled.

Hence, the stance of the research particularly draws from those aspects of the inclusion agenda in education contexts which advocate a rethink in the design and delivery of learning curricula to reduce the persistent reliance on literacy-based formats, claiming that this is inherently unjust. This is to argue for the re-framing of learning and teaching environments at university to accommodate learning diversity more equitably. This may then consign into redundancy the need for special conditions and reasonable adjustments for many students with unseen differences or disabilities.


Revised March 2020

1.2  Research Design and methodological overview

The study has been underpinned firstly by a review of a range of literature (in Section 2) on the nature, aetiology, identification and assessment of dyslexia, with dyslexia amongst university students framing the selection strategy. This informed the establishment of a fresh descriptor, dyslexia-ness, as one element of the research design. This is a measure of the intensity that the attributes and characteristics of dyslexia have on study behaviours at university. Dyslexia-ness has been operationalized through the development of a profiler (discussed in Section 3), which aimed to be valid across the wider student community rather than be focused specifically at students with identified dyslexia. This was key to the study as it enabled a test sub-group of quasi-dyslexic students to be established in a way that was ethically non-controversial, being those who appeared to be presenting many characteristics and attributes typically associated with dyslexia but who were not identified as dyslexic. Thus, comparisons could be made with both a control subgroup of students with formal identifications of dyslexia, and a base subgroup of non-dyslexic students, as determined by their low levels of dyslexia-ness in the profiler.


Secondly, a comprehensive review of the theory and previous research relating to academic confidence, principally operationalized through academic behavioural confidence, has been presented (also in Section 2). Academic confidence is located within the framework of the parent construct of academic self-efficacy, itself identified as an element of Social Cognitive Theory (SCT) in extensive earlier research by Bandura (e.g.: 1997b, 2000, 2001). SCT is outlined and selectively reviewed particularly in relation to education and learning. Hence, the use of academic confidence as a construct is discussed from the theoretical perspective, with data collected using the existing, Academic Behavioural Confidence (ABC) Scale, which sets out to gauge students’ actions and behaviours in academic study (Sander & Sanders, 2006a).


This was a primary research project using a mixed methods approach. Data collected from a sample of university students through an online, self-report questionnaire was largely quantitative, although additional qualitative responses were invited. Statistical analysis set out to explore research questions about the extent to which dyslexia-ness impacted on academic confidence (see below, sub-section 1.6). Null hypotheses are stated, and evidence to address these was based on effect size differences between research group and subgroup sample means, supported by conventional independent sample means’ p-value outcomes. The initial analysis outcomes suggested that principal component analysis might be explored to determine whether reducing the multifactorial data collected into sets of factors of both dyslexia-ness and academic confidence might add depth to the analysis. The outcomes were mixed, perhaps indicating that this approach may need a larger and/or more diverse sample for more convincing outputs to be generated. A regression analysis was also tentatively explored to determine whether the output might add substance to the analysis outcomes (see Section 4). These additional analyses are reported and discussed in the context of this study, although the results are used mainly to suggest possible directions for future research (see Section 6). Providing qualitative data was optional for participants with none being received from students in the non-dyslexic group. Hence rather than formally analysing these data for the dyslexic group alone, it was considered more appropriate to reserve this for a subsequent study. However, where apposite, these data have been used to contextualize some of the statistical outcomes and conclusions in the discussion element of this thesis (Section 5).


Revised March 2020

1.3  Research Importance

No peer-reviewed studies were found that specifically explore how the academic confidence of dyslexic students at university may be affected by their dyslexia when compared to their quasi-dyslexic and non-dyslexic peers. Searching across journals databases revealed only an unpublished dissertation (Asquith, 2008) which explored how dyslexia was related to self-esteem and to academic confidence. This study hypothesized that dyslexic students who were receiving support would present higher levels of each of these constructs in comparison to dyslexic students who were not. A significant feature of the study was an assumption that a proportion of the apparently non-dyslexic students recruited into the study may present characteristics of dyslexia, as determined by use of the Vinegrad Adult Dyslexia Checklist (Vinegrad, 1994). Hence, three research subgroups were established: dyslexic students, non-dyslexic students and quasi-dyslexic students although this term was not used. Although discussed more fully later (Section 2), briefly, Asquith identified significant differences in mean values of academic confidence (evaluated using the ABC Scale), between dyslexic and non-dyslexic students. Investigating differences between dyslexic and quasi-dyslexic, or non-dyslexic versus quasi-dyslexic students did not appear to have been attempted. Nothing was said about how ethical tensions were resolved in relation to apparently identifying dyslexic students previously considered to be non-dyslexic, and how this may have been disclosed or not.

However, Asquith’s study has been a useful example of one of the earliest uses of the ABC Scale, notably with dyslexic students.


This current study takes a more robust approach to developing clearly focused research questions (see 1.6, below), addressed by a research design (Section 3) grounded in an extensive review of the pertinent literature (Section 2), together with a more elaborate analysis of data collected (Section 4). Hence this study fills a gap in the existing research.



Revised March 2020

1.4  Terminology, Principal Definitions, and Register

I      Academic Confidence

Academic confidence is set as the dependent variable in this study. The position will be adopted that academic confidence is a sub-construct of academic self-efficacy (Sander & Sanders, 2003), and is concerned with a student's belief about their capability to perform a task at a particular level to attain a specific goal. Along with self-esteem, self-confidence, and notably, self-efficacy, these beliefs and attitudes form the core of our self-concept, and at university, act to guide students through the academic challenges that university study presents (Sander & Sanders, 2006a). Academic confidence is rooted in the self-efficacy component of Social Cognitive Theory (SCT) (Bandura, e.g.: 1977, 1986, 1997a), itself concerned with how human actions and behaviours are self-regulated. Increasingly, components of the self, and more particularly, self-beliefs, are being cited as key indicators of students' motivation in learning environments (Zimmerman, 2000; Pajares & Schunk, 2002; McGeown, et. al., 2014). Academic confidence is likely to emerge primarily as a result of mastery experiences (Skaalvik & Skaalvik, 2002), this being one of the four components of SCT, and is about achievements built on positive prior experiences in related, relevant contexts. The others are vicarious experiences - formed largely through gaining a sense of capability in comparison with others engaged in the same undertaking; verbal persuasion, notably through encouragement by people significant to the individual; and physiological and affective states, that is, how we feel when we are engaged in an activity or endeavour. Academic self-efficacy focuses on the features of self-efficacy which are presented in learning contexts. The research contributions of Zimmerman, Schunk and Pajares have been selected to demonstrate how SCT can be applied in educational settings, not least due to their relevance to university contexts. In particular, Zimmerman placed academic self-efficacy as a central component of the learning process through learners' beliefs in their capabilities to self-regulate their learning and master academic challenges, acquire new ideas and communicate their knowledge. Zimmerman (1990) evidenced that students who are competent self-regulators achieve stronger academic outcomes than their otherwise comparable peers who are poor self-regulators. All of these concepts and constructs are discussed in Section 2.



II     Academic Behavioural Confidence

Academic behavioural confidence is used to operationalize academic confidence (Putwain et al., 2013) through the Academic Behavioural Confidence (ABC) Scale where academic confidence has been proposed as a construct that may be distinct but related to the parent construct of academic self-efficacy (Sander & Sanders, 2003). ABC emerged from attempts to explain differences in the reasons provided by university students from two different cohorts to defend their preferences for particular pedagogical processes, namely learning through role-play or through peer-group presentations. Academic confidence was proposed as “a mediating variable between the individual's inherent abilities, their learning styles and the opportunities afforded by the academic environment of higher education” (ibid, p4). It was first operationalized as the Academic Confidence Scale which was later revised into the Academic Behavioural Confidence Scale because it was better seen to be gauging confidence in behaviours, actions and plans related to academic study (Sander & Sanders, 2006a). The ABC Scale is designed to be a general measure of students' confidence about their academic work at university.

III    Research groups and subgroups

This project is a primary research study and data have been collected through a self-reported questionnaire from participants who agreed to provide information about their study at university. 183 responses were received from university students predominantly at one HE institution in the UK. Of these, 166 students provided good quality data. 17 were rejected due to them being more than 50% incomplete. Research groups and subgroups were subsequently established and the definitions of these are set out in the Research Design Section (3) of this thesis.

IV     Register

Following conventional academic protocols, the majority of this thesis is written objectively and in the third-person. However, some sections relate more of the personal and reflective elements of the learning journey of the researcher, and hence are narrated in the first person. This also serves to distinguish between the reporting of the evidence-based outcomes of the project and my stance as a practitioner-researcher in the field of education and learning development at university. Where direct quotations have been taken from other literature, these are shown in double quotation marks; single inverted commas are used as marks of emphasis (e.g.: ‘reasonable adjustments’); direct quotations from participants in this, and other studies are italicized when presented in the narrative, or shown in a reduced font-size when part of a bulleted list.


Revised March 2020

1.5  The preceding small-scale enquiry

The legacy of outcomes from the researcher's preceding Masters' dissertation (Dykes, 2008) has had a significant impact on the development of this current project. This was a small-scale enquiry conducted within the dyslexic student community at a UK university. The aim was to try to understand why some students with dyslexia strongly advocated the learning support value of a dedicated learning technology suite staffed by dyslexia and disability specialists; whilst others with apparently similar dyslexic profiles appeared ambivalent. This was evidenced through the former making frequent use of the suite and services whereas the others were only infrequent visitors despite initially registering for access. It was hypothesized that this disparity might, in part at least, be due to differences in the attitudes and feelings of students with dyslexia to their own dyslexia, but particularly to their perceptions about how it impacted on their access to, and their engagement with their learning at university.


The analysis outcomes were mixed, making it difficult to establish clear conclusions, revealing that the issue was far from straightforward. This could have been attributable to the small sample sizes of the research groups, but also to a research design which, with hindsight, could have been better developed. However, two influential aspects emerged from this study: firstly, lessons were learned about constructing online survey questionnaires and in particular how to design and incorporate Likert-style scale items into questionnaire design; secondly, considerable value was ascribed to the development of profiling charts to visualize quite complex interrelationships between variables. An important aspect of these were the opportunities they afforded to spot patterns, similarities and contrasts, not so much between the profiles of individual respondents, but how respondents could be grouped into subsets. It is the legacy of this profiling process that has been carried forward into this current study.


Research questions

1.6  Research questions and hypotheses

Research questions were formulated thus:

Firstly, do students who know about their dyslexia present different levels of academic confidence to that of their non-dyslexic peers? If so, can factors in their dyslexia be identified as those most likely to account for these differences, and are these factors absent or less-significantly impacting in non-dyslexic students?

Secondly, do students with no formally identified dyslexia, but who show evidence of a dyslexia-like learning and study profile, that is, present quasi-dyslexia, present different levels of academic confidence to that of their dyslexia-identified peers? If so, are the outcomes sufficient to suggest that identifying dyslexia in student learners is detrimental to their academic confidence?


Hence these research questions enabled two, corresponding hypotheses to be formulated:

  • Ho(1) = There is no difference between dyslexic and non-dyslexic students' levels of academic confidence;

  • AH(1) = Non-dyslexic students present a higher level of academic confidence than their dyslexic peers.


  • Ho(2) = There is no difference between dyslexic and quasi-dyslexic students' levels of academic confidence;

  • AH(2) = quasi-dyslexic students present a higher level of academic confidence than their dyslexic peers.


Furthermore, amongst students with identified dyslexia, does the manner in which these students have learned of their dyslexia impact on their levels of academic confidence? Is there evidence more specifically, that students whose dyslexia has been diagnosed to them as a disability present lower levels of academic confidence than those whose dyslexia has been reported to them in other ways, for example, identified as a difference. If so, this may imply that insufficient merit is accorded to the importance of not presenting dyslexia in clinical terminology, arguably a legacy of the out-dated, medical model of disability.


Hence these subsidiary questions prompted a further hypothesis:

  • Ho(3) = Amongst students with dyslexia, there is no difference in academic confidence between students whose dyslexia was formally diagnosed to them as a disability, and those who formally learned of their dyslexia in other ways;

  • AH(3) = Students who were formally diagnosed with dyslexia as a disability present lower levels of academic confidence than their dyslexic peers who formally learned of their dyslexia in other ways.

Andrew Dykes B.Ed., M.A., M.Sc., CELTA, FHEA

Academic confidence and dyslexia at university

A PhD Research Project October 2014 - May 2019

Middlesex University, London

Andrew Dykes B.Ed, M.A, M.Sc, FHEA;

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