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Screening for ADHD and Dyslexia in undergraduate university students. Dr Debbie J. Pope Learning and Literacy Research Unit Department of Psychology UCLAN PLAT2006. Contributors. Dr Helen Whiteley Dr Chris Smith
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Screening for ADHD and Dyslexia in undergraduate university students Dr Debbie J. Pope Learning and Literacy Research Unit Department of Psychology UCLAN PLAT2006
Contributors DrHelen Whiteley Dr Chris Smith Ms Rachel Lever Dr Debbie Pope Dr Delia Wakelin Dr Helen Dudiak Dr Hazel Dewart Supported by the Higher Education Academy Psychology Network
Aims • To gain a broader picture of the incidence of dyslexia and ADHD characteristics in Psychology undergraduates • To consider links between ADHD and dyslexia screening scores and academic achievement • To explore when/why undergraduates do/do not seek help and to identify outcomes from support or lack of it • To consider the implications for retention and progression
Definitions Dyslexia can be described as a combination of abilities and difficulties that affect the learning process in one or more of reading, spelling, writing. Accompanying weaknesses may occur in areas of speed of processing, short-term memory, sequencing and organisation, auditory and/or visual perception, spoken language and motor skills. ADHD is a common developmental and behavioural disorder characterized by poor concentration, distractibility, hyperactivity, and impulsiveness
Measures - Dyslexia 1. British Dyslexia Association (BDA) Adult Dyslexia Checklist • 20-items • 5 minutes to complete • 9 or more YES answers indicates potential ‘difficulty’
Measures - ADHD 2. Connors’ Adult ADHD Rating Scales – Self-Report: Screening Version (CAARS) • 30 items • 10 minutes to complete • 3 DSM-IV symptom measures (inattentive, hyperactive/impulsive, total ADHD)+ ADHD Index score • Age and gender are taken into account • A score of 66+ indicates 95th percentile or above, which indicates the possibility of a significant problem
1st Year 643 2nd Year 541 Total 1,184
Male 246 Female 938 Total 1,184
Results – Dyslexia Characteristics • 144 (12.1%) students scored ‘at risk’ • 12 students (1%) scored very highly (15+) • 30 students had previously indicated that they were dyslexic - 21 (70%) of these scored 9 or above
Results – ADHD Characteristics • 174 (14.5%) students scored highly on inattentive scale • 82 (6.9%) students scored highly on hyperactive/impulsive scale • 140 (11.8%) students scored highly on ADHD total scale • 82 (6.9%) students scored highly on ADHD Index scale • No student had previously indicated that they had been diagnosed with ADD/ADHD
Results • 110 (9.2%) students scored ‘at risk’ on BDA checklist and at least one of the CAARS ADHD scales • Strong significant positive correlation between BDA checklist scores and 4 ADHD rating scores
Academic Achievement • Data for the student academic year 2004/5 was collected • An average mark for the year was calculated • Overall mark comprised of marks from a range of modules and types of assessment – differences between universities (exams - essay, MCQ, practicals, essays, etc.)
Results • No relationship between academic achievement and dyslexia checklist • Overall, a highly significant negative relationship was found between academic achievement and each of the four ADHD rating scales • Results indicate that those who score higher on the ADHD scales, are performing more poorly than their peers who score lower on the ADHD scales • Similar trend across three universities (UCLan, Teeside, Northumbria) but no relationship between achievement and screening scores at Westminster
PS2700 Methods (n=238)Assessment – coursework only * p < 0.05 ** p < 0.01
PS2200 Developmental Psychology (n=185)Assessment – coursework (essay, practical), exam (essay) * p < 0.05 ** p < 0.01
PS2400 Cognitive Psychology (n=213)Assessment – coursework (practical) and exam (essay and MCQ) * p < 0.05 ** p < 0.01
Existing Provision • Students declare learning difficulty on entrance to university • Student may be reassessed by psychologist in Learning Support Unit • Individual provision provided as necessary • CLaSS Project
Learning Difficulty among Sample? • Question – “Have you ever been diagnosed with a learning difficulty” – 47 replied “Yes” • 30 = dyslexia • 17 = other (deafness, dyspraxia, scotopic sensitivity, non-specific learning difficulties) • No student mentioned ADD/ADHD or difficulties of an attentional nature
General Difficulties at University • Exams – can’t concentrate, unable to write fast enough, anxiety beforehand, poor memory and short attention span • Lectures – concentration problems, short attention span, easily distracted • Time management – too many deadlines • Organisation problems • Poor study skills • Literacy problems • Lack of motivation • Memory problems – poor short term memory, slow learner
Why not sought help? • Discrimination – don’t want to jeopardise career by being judged or labelled • Asked but didn’t receive help • Don’t know where to get help from • Embarrassed, lack confidence • Feel others will laugh or see as laziness • It can’t be helped – need to try harder, work faster, do more practice, pay more attention • Thought it was my problem that no one would be interested in helping with
Summary 1 • High incidence of undiagnosed students in ‘at risk’ categories for both dyslexia and ADHD characteristics • No correlations between achievement data and dyslexia scores • Strong negative association between CAARS scores and academic grades • UCLan 2nd Year module results indicate that specific modes of assessment (MCQs) may pose particular problems for high inattentive / ADHD scorers
Summary 2 • Suggests a need to focus on the identification and provision of support for students with problems related to ADHD characteristics – implications for organisation, note-taking, focusing in lengthy lectures, etc. • Indicates that many students, other than those who ‘declare’ learning difficulties would benefit from further support • Concerns from student comments regarding their reluctance to seek help and the response when help was actively sought
Future Directions 1 • Continue to analyse different assessment measures in relation to dyslexia/ADHD screening results e.g. exams, MCQs, coursework • Determine whether departmental differences exist – i.e. whether results dependent on subject/course specific areas • Look at feasibility of incorporating results into existing systems (e.g. CLaSS Project) and improvement of other existing student support mechanisms
Future Directions 2 • Incorporate findings into staff development programmes • Identify students who perform well academically and who score highly on the rating scales in order to identify strategies that may be of use to other students (mentoring, incorporation into CLaSS Project, etc.)