5 research outputs found
Screening Young Children at Risk for Reading Failure
Reading and reading difficulties are some of the most researched topics in the literature in regard to psychology and education. Additionally, some specific subjects such as prediction and prevention attract research interest as well. These issues are discussed in the present chapter that focused on the screening measures and their characteristics towards significance and effectiveness. More specifically, discrimination accuracy, sensitivity, and specificity as well as validity and reliability were taken into consideration. Some well-known studies were examined revealing a range of methodological issues, which affected the effectiveness of using measures in the extant research. Although the findings were consistent with literature, they continued to be scant and not widely accepted, affected by several limitations regarding the sampling and the experimental design
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Potential discriminative factors for dyslexia: A predictive statistical model based on the Pavlidis questionnaire distinguishing 8-9 year-old dyslexic and non-dyslexic-control Greek children. Validity's and potentialpredictive efficiency's considerations potential predictive efficiency's considerations
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonThe aim of the thesis was to identify the most significant early signs of dyslexia, independent of
reading and to use them to differentiate between diagnosed dyslexic and non-dyslexic-control
Greek children, 8-9 years old. Many authors (e.g., Nicolson & Fawcett, 1996; Muter, 1996;
Singleton, et al. 1995; Grogan, 1995; Wenner, 1995; Hurford et al. 1994; Coleman & Dover,
1993) highlighted the importance and advantage of early identification, in terms of human and
financial resources. Educationally, most teachers acknowledge the greater ease of working with
younger children who have not yet experienced excessive frustration and feelings of failure.
The findings of this thesis noted that could screen the dyslexics from non-dyslexics on the basis
of a non-reading procedure, based on the parent-reported information for their children. The
information was originated from a quick, economical, easy to administer, sensitive checklist
related to the developmental history; laterality; sequential problems; behaviour and personal
traits; ADD characteristics and family's history (heredity). This checklist, named Pavlidis
Checklist could be used as screening tool for dyslexia. It could correctly discriminate the
dyslexics with 95.2% accuracy, the non-dyslexics-controls with 97% and the overall accuracy
was 96.3%.
The validity of this predictive tool was tested using the comparison of the discrimination rate
between this predictive tool and the spelling errors of dyslexics and non-dyslexics. Spelling errors
could discriminate these two groups, because it is widely accepted (Hornsby, 1995;
Megalokonomos 1983) that they are (spelling errors) a part of the diagnostic procedure for
dyslexia. The results showed that this tool had the similar, very high, overall discriminative
accuracy with the spelling errors, so, it was accepted as valid. Moreover, the within-test
consistency of this checklist was very high too and also it seemed to be potential predictive
efficient
Teaching self-regulation strategies with SOLVE IT to two students with learning disabilities: Effects on mathematical problem-solving performance
International audience1 [email protected], 2 [email protected], 3 [email protected], 4 [email protected] The purpose of the present study was to investigate whether teaching self-regulation strategies via "Solve it" to students with learning disabilities could affect their problem-solving performance in mathematics. The mathematical problems involved four mathematical operations with natural and decimal numbers. Also, the present study investigated the effect of "Solve it" instruction on students' self-efficacy and value related to mathematics. It was a single-subject design with a pre-test, four repeated post-tests and a maintenance test. The results indicated that the students' problem-solving performance was improved and their self-efficacy and value attributed to mathematics were increased