Khokhlov, N.A.
Developer Psychologist, Scientific and Methodical Department, Centre for Testing and Development “Humanitarian Technologies”.
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Psychometric Battery “Multifactorial Investigation of Neuropsychological Development” (MIND)Lomonosov Psychology Journal, 2024, 1. p. 150-183read more894
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Background. Russian neuropsychology lacks a standardised set of methods for quantifying the development of higher mental functions (HMF) from pre-school to high school age. Its application could improve the objectivity of neuropsychological diagnosis.
Objectives. The study seeks 1) to create a psychometric battery of methods for multifactorial investigation of neuropsychological development (MIND) in children and adolescents aged 4–17; 2) to describe the trajectories of age-related development of HMF.
Sample. 860 participants aged 4–17 (M = 10; SD = 3.7), including 558 boys and 302 girls took part in the study.
Methods. Neuropsychological assessment was performed using 40 techniques and measuring 171 variables. These variables were standardised and age-adjusted. Exploratory and confirmatory factor analysis was used to find latent variables. The resulting model was applied to age-unadjusted variables to identify developmental trajectories.
Results. A model was built with 106 indicators and 21 factors. Four variables were used to construct an additional verbal-logical thinking scale. The general level of development can be reliably measured using 50 variables. These scales are described as age dependent.
Conclusions. The MIND psychometric battery for neuropsychological assessment of children and adolescents aged 4–17 has been created. The quantitative evaluation is based on a mathematical description of the age-related development of HMF components.
Keywords: neuropsychological assessment; child neuropsychology; differential neuropsychology; quantitative evaluation; mental functions DOI: 10.11621/LPJ-24-07
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Neuropsychological predictors of poor school performanceLomonosov Psychology Journal, 2020, 3. p. 291-313read more5063
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Relevance. Underachieving schoolchildren are characterized by underdevelopment of higher mental functions (HMF) as compared to well-performing pupils. At the same time, there is a lack of explicit data on which dysfunctions are the most specific to underachievers.
It is unknown how much particular neurocognitive dysfunctions affect school performance and what are the possibilities to compensate for isolated defects.
Objectives. To identify the predictors of poor academic performance in school and to evaluate capabilities for children with certain neurocognitive dysfunctions for better progress at school.
Method. The neuropsychological examination was used to evaluate the characteristics of neurocognitive development. Four daily routine activities, fourteen HMF, and the overall level of neurocognitive development were assessed. The index of isolation-multiplicity of neurocognitive dysfunctions was calculated. To evaluate academic performance (average grade for all disciplines) interviews with pupils and their parents were conducted, school exercise-books and assignment books were thoroughly studied. The study involved 427 children (292 boys and 135 girls) aged from 6 to 17 years, (11.7 ± 3).
Results. The results of neuropsychological diagnostics explain 24% variance in the academic performance in school grades 1–4 and 18% variance in grades 5-11. Underachievement is predominantly related to the reduction in thinking, attention, audio-verbal memory, and overall level of neurocognitive development. Time orientation turns out to be more reduced than other everyday functions in underachievers. Certain mental functions in underperforming elementary school pupils can spontaneously improve through education. Isolated neurocognitive dysfunctions (up to 3) do not result in poor school performance.
Conclusion. Thinking, attention, and audio-verbal memory dysfunctions against the background of the low overall level of neurocognitive development are most specific to underachieving schoolchildren. Under-development of attention is the most significant predictor of poor school performance in 1–4 school grades, low level of thinking – in 5–11 grades. Isolated neurocognitive dysfunctions (up to 3) that can be compensated for have no negative impact on educational performance.
Keywords: developmental neuropsychology; learning difficulties; school disadaptation; minimal brain dysfunctions DOI: 10.11621/vsp.2020.03.13
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