• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Complex Phonological Tests Are Useful for Diagnosing Reading Dysfunction

Complex Phonological Tests Are Useful for Diagnosing Reading Dysfunction

© iStock

HSE University researchers have confirmed that the level of phonological processing skills in children can impact their ability to master reading. Complex phonological tests are best suited to detect phonological impairment. The study was published on September 6, 2020, in the Journal of Research in Reading.

Phonological processing is the ability to distinguish phonemes (minimal distinctive linguistic sounds), analyse sound sequences, and perform various operations with phonemes. These are the skills children master at an early age. Numerous international studies have proven that there is a correlation between phonological processing and reading abilities, and this is true not only for the English language. Meanwhile, the correlation between phonological skills and reading in Russian remains an under-researched area. In addition, it has remained elusive which phonological tests are the most predictive for people’s reading skills.

To find this out, researchers from HSE University’s Center for Language and Brain developed seven phonological tests of varying complexity. The complexity of a given test wasmeasured as the number of linguistic processes involved for an individual’s successful performance on a particular task. In the simplest test, the participants answered whether the sound consequences they hear are different or the same, after listening to recording with, for example, the sound of ‘bom/pom’ or ‘eva/eva’. This only requires decoding  input sounds and minimum involvement of one’s working memory. For the most complex tests, children were asked to count phonemes in a word pronounced by a speaker, or replace one of the sounds in a pseudoword. This task requires the ability to decode input sounds, recognize words (i.e., involve lexical access), and involve one’s working memory, as well as perform sound analysis and other operations with phonemes.

The researchers invited 90 typically developing children aged seven to eleven from three schools in Moscow and Volgograd to participate in the experiment. All of them had confirmed normal hearing and vision, and had earlier successfully passed a screening for nonverbal intelligence. Each child took part in all seven phonological tests, followed by an assignment to evaluate their reading skills. For that, children had to read two short texts aloud, followed by questions on their contents. This allowed the researchers to assess children’s reading fluency (i.e., the number of words read accurately in the first minute) and reading comprehension (i.e., the number of correct responses to the questions).

It was shown that the more errors the participants made as the complexity of the phonological tests increased, the fewer words they were able to read in a single minute. More complex phonological tests were better in predicting an individual’s reading fluency, with less school students being able to pass them successfully. A specially developed statistical model demonstrated that the individual costs of adding one more linguistic process to a phonological test are significantly correlated with reading performance. Nevertheless, the question remains: how does reading comprehension correlate with phonological skills? This issue requires further investigation.

Svetlana Dorofeeva, Junior Research Fellow, Center for Language and Brain

‘Stand-alone probes are insufficient, since children without any phonological deficit can also make singular errors. Simple phonological tests may be not discriminative enough, as they do not allow to robustly distinguish typically developing children from those disposed to reading disorders. On the other hand, the completion of the whole battery of the seven tests, after phonological deficit was detected by most complex test, can help to determine the extent of the impairment, and choose the most effective intervention program to develop phonological skills in a specific child.’

The results of this study can help to improve the methods for diagnosing and dealing with reading difficulties, such as dyslexia. The researchers’ conclusions confirm that in order to manage the phonological deficit, which may lead to reading disorders, complex phonological tests are useful.

References:

Dorofeeva, S. V., Laurinavichyute, A., Reshetnikova, V., Akhutina, T. V., Tops, W., and Dragoy, O. (2020) Complex phonological tasks predict reading in 7 to 11 years of age typically developing Russian children. Journal of Research in Reading, 43: 516– 535. https://doi.org/10.1111/1467-9817.12327

See also:

HSE Researchers Identified the Age-Related Changes in Gamma-Band Oscillations in Auditory Cortex in Children

Researchers from the HSE Center for Language and Brain have identified previously unknown age-related changes in brain activity during the perception of auditory information in a group of children aged 7–12 years. The researchers used magnetoencephalography (MEG), an ultra-precise method of brain activity recording. The results obtained can be used to explore the impairments in language comprehension in children with autism. The study was published in the Human Brain Mapping.

HSE University Researchers Track Language Abilities of Russian Children with ASD

Researchers from the HSE Center for Language and Brain have, for the first time, described the language abilities of Russian children with Autism Spectrum Disorder (ASD) at all linguistic levels (e.g., phonology, lexicon, morphosyntax, and discourse), using a language test that takes into account the psycholinguistic variables most relevant for Russians. The study was published in Journal of Autism and Developmental Disorders.

Brain Activity Can Reveal the Severity of Autistic Traits

A team of researchers from Russia and Israel applied a new algorithm to classify the severity of autistic personality traits by studying subjects’ brain activity. The article ‘Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients’ is published in the Journal of Autism and Developmental Disorders.