Background. While various screening systems are used worldwide for early detection of developmental delay (DD), Russia still does not have such a screening system in place, even though a good prognosis for the cognitive development of a child with DD depend strongly on the time of the diag nosis. Objective. The objective of this study was to create a system to rapidly monitor the mental development of four-to five-year-old Russian children, a system that allows for the use of modern information technologies to obtain reliable results. Design. This study was carried out with a sample of 1,232 children. For data collection, the multifactor study of mental development tool was used as a part of a software complex for longitudinal research. This tool included a much more extensive set of tasks than in traditional tests of abilities, allowing for a wider variation of the factor structure. For the 4-year-olds, 236 tasks were used and 349 for the 5-year-olds. Factor and discriminant analysis were carried out to construct scales for each age group (6-7 points in each), which most accurately predict the diagnosis (Norm/DD). Structural equation modeling (SEM) was used to verify the prediction model. Results. Two scales were elaborated, which coincided with the type of variables combined in each of them regardless of age (for 4-years-simpler and for 5-years-more complex): logical reasoning, motor skills, and general awareness (listed in descending order of contribution to the prediction). SEM confirmed that the selected scales are indicators of the general ability factor, which is the main predictor of the diagnosis. Conclusions. Two short scales for the rapid diagnosis of DD in preschool children were constructed, allowing the use of computer technology to timely identify the risk group among 4-and 5-year-olds with high sensitivity and specificity of the forecast (not lower than 95%).

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Психодиагностика риска задержки психического развития детей дошкольного возраста Коллектив авторов http://izd-mn.com/ Психодиагностика риска задержки психического развития детей дошкольного возраста Коллектив авторов http://izd-mn.com/ 2 УДК 159.92:159.96:159.97 ББК 88 Н 314 Монография рекомендована к изданию Научной комиссией в области психологических наук Санкт-Петербургского государственного университета Рецензенты: Мамайчук Ирина Ивановна-доктор психологических наук, профессор кафедры медицинской психологии и психофизиологии СПбГУ. Глозман Жанна Марковна-доктор психологических наук, профессор, ведущий научный сотрудник лаборатории нейропсихологии факультета психологии МГУ им. М.В. Ломоносова. Наследов, Андрей Дмитриевич Мирошников, Сергей Александрович Ткачева, Любовь Олеговна Защиринская, Оксана Владимировна Н 314 Психодиагностика риска задержки психического развития детей дошкольного возраста. Монография-М.: Мир науки, 2019.-Сетевое издание. Режим доступа: https://izd-mn.com/PDF/43MNNPM19.pdf-Загл. с экрана.

Background: computer-based screenings are usually used for early detection of a child’s mental development problems. However, there are no such screenings in Russia yet. This study aimed to elaborate scales for rapid monitoring of mental development of 3-year-olds. Methods: 863 children took part in the study, among them 814 children of the group Norm, 49 children with developmental delay (DD), including 23 children with symptoms of autistic spectrum disorder (ASD). The multifactor study of mental development tool was used as a part of a software complex for longitudinal research for data collection. This study used a set of 233 tasks that were adequate for 3-year-olds. Exploratory and confirmatory factor analysis was used for the elaboration and factor validation of the scales. The structure of the relationship between scales and age was refined using structural equation modeling. Results: as a result of the research, screening scales were elaborated: “Logical reasoning”, “Motor skills”, “General awareness”, “Executive functions”. The factor validity and reliability of scales were proved. The high discriminability of the scales in distinguishing the “Norm” and “DD” samples was revealed. The developed test norms take into account the child’s age in days and allow identifying a “risk group” with an expected forecast accuracy of at least 90%. The obtained scales meet psychometric requirements for their application and allow creating an online screening system for wide application.