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A Validation Of The Dyslexia Adult Screening Test (DAST) in A Post Secondary Population.

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Presentation on theme: "A Validation Of The Dyslexia Adult Screening Test (DAST) in A Post Secondary Population."— Presentation transcript:

1 A Validation Of The Dyslexia Adult Screening Test (DAST) in A Post Secondary Population

2 Dyslexia Adult Screening Test DAST  Developed by Fawcett & Nicholson in UK  Published by Psych corp 1998  Normative data collected on 550 “normal” students & 618 adults (age 17-65).  ?  ? # Dyslexic subjects-No reference at all.  At Risk Quotient (ARQ) calculated based on performance on 11 subtests

3 The Dyslexia Adult Screening Test (17+ yrs)

4 DAST cut-offs  ARQ of.7 or more = slightly at risk  ARQ of 1 or more = highly at risk Fawcett & Nicholson used the cut off of 1.0 in their normative study!

5 Problems with initial norms  “Dyslexic Student” data consists of only 15 people  Dyslexia validated by ADI: ACID pattern on WAIS; spelling, nonsense passage reading & previous hx dyslexia.  ARQ calculated dividing by 9 instead of 11  How well can DAST accurately identify Dyslexic students based on this limited sample?

6 Current study  LOTF project in Ontario, Canada  Improve services & supports for “Dyslexic” students in post-secondary.  Pilot students had to meet rigorous diagnostic criteria for inclusion:  2 std dev difference between measure of intellectual potential & achievement &/or specific information processing skill, + consistent history

7 Subjects  117 “well validated” Pilot students  122 volunteer controls  Sex ratio equal in Pilot students, but 75% of controls were female.  Mean age of two groups equal

8 Results Using.7 as cut off (mild risk):  85% of Dyslexics correctly identified  15% missed. 3 subjects had ARQ < 0.01  25% “controls” identified as mild risk Using 1.0 (high risk) as cut off:  74% Dyslexics correctly identified  15% controls identified as high risk

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10 Hit rate by subtest( ARQ>.99) DAST subtestDyslexic students (N=117) Incidence (%) Control Students (N=122) Incidence (%) Rapid Naming 4721.7 One Minute reading 79.131.7 Postural stability 6751.7 Phonemic Segmentation 86.140.8 2 minute spelling 85.231.7 Backward Digit span 64.329.2 Nonsense passage 91.330.8 Non-verbal reasoning 6055.8 1 minute writing 77.433.3 Verbal fluency 27.814.2 Semantic fluency 14.86.7

11 Information about control subjects  Recruited from first-year courses, posters, and work-study student population  Completed self-rating scales & DAST  Correlation between self-rated reading pleasure and ARQ=.40  Correlation between self-rated reading skills and ARQ=.52

12 Relationship Between Pleasure from Reading and ARQ (Control gp only) R 2 = 0.1585 0.00 0.50 1.00 1.50 2.00 2.50 3.00 12345 Self-rated reading enjoyment (1=very pleasurable; 5=no pleasure) At Risk Quotient (ARQ) Highly at risk cut off

13 Relationship Between Self-rated Reading Skills and ARQ (control gp only) R 2 = 0.2722 0.00 0.50 1.00 1.50 2.00 2.50 3.00 12345 Self-rated Reading skill (1=strongest; 5=poorest) At Risk Quotient (ARQ) Highly at risk cut off

14 Self-reported Academic Weaknesses (Control group) Area of academic difficulty Percentage who endorsed Math43.4% Study skills26.2% Memory21.3% Spelling18% No area of difficulty16.4% Organizational skills11.5% Reading9%

15 ARQ scores for control subjects who reported reading problems ARQ 0.20 0.36 0.63 0.27 0.36 0.18 0.82 0.90 1.45 1.09

16 Recalculation of DAST  Remove postural stability (least consistent & lowest inter-rater agreement)  Remove subtests with largest group overlap  Remove subjects with NVLD  Recalculate ARQ based on 7 subtests

17 Recalculated DAST (Excluding subtests 3, 8 & 11 + NVLD) Using.7 as cut off (mild risk):  88 % of Dyslexics correctly identified  12 % missed.  27 % “controls” identified as mild risk Using 1.0 (high risk) as cut off:  77 % Dyslexics correctly identified  17 % controls identified as high risk

18 Conclusions  DAST in present form is not acceptable as screening for LD  Good screening test should identify almost ALL of true Dyslexic subjects. This does not.  Removal of subtests with questionable discriminate validity improves hit rate slightly, but still misses 12% of Dyslexic students  Relationship between ARQ & criterion variables (such as self-rated reading skill) an issue

19 Suggestions  Investigation of IQ-ARQ correlation  Establish criterion validity of ARQ & subtests in non-disabled control group  Recalculation of normative scores and cut offs using larger Dyslexic sample.  Don’t throw the baby out with the….


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