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Elaboration of Screening Scales for Mental Development Problems Detection in Russian Preschool Children: Psychometric Approach

机译:俄罗斯学龄前儿童精神发育问题筛选尺度的阐述:心理测量方法

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摘要

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.
机译:背景:基于计算机的筛查通常用于早期发现儿童的心理发展问题。但是,俄罗斯没有这样的筛选。本研究旨在详细说明3岁的心理发展的快速监测尺度。方法:863名儿童参加了该研究,其中包括814名群体儿童常规,49名患有发育延迟(DD)的儿童,其中23名儿童具有自闭症谱系症状(ASD)。心理开发工具的多因素研究被用作数据集合纵向研究的软件复合体的一部分。本研究使用了一组足够适合3岁的233个任务。探索性和验证因子分析用于尺度的阐述和因子验证。使用结构方程模型改进尺度和年龄之间的关系的结构。结果:由于研究,阐述了筛选尺度:“逻辑推理”,“运动技能”,“一般意识”,“执行职能”。证明了秤的因子有效性和可靠性。揭示了区分“规范”和“DD”样品的尺度的高可怜性。开发的测试规范考虑了孩子的年龄,并允许识别“风险组”,预期预测准确性至少为90%。所获得的尺度符合其应用的心理测量要求,并允许在线筛选系统进行广泛应用。

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