The child's mental development can be described as how a child transforms over time and integrates physical, intellectual, and language development and emotional and social development. Child mental development involves the vision, observation, recollection, creativity, reflection, solution of problems, and intellect and expression. Socioeconomic status (SES) affects young children's academic, linguistic, psychological, physical, and emotional growth. The connections between lower SES and learning disorders or other negative psychological effects affecting university achievements are supported by increasing evidence. Hence in this paper, a Statistical method-based psychological analysis model (SM-PAM) has been proposed to evaluate the children's psychological measures to improve children's mental health. Without communicating with the computation support mechanism, the proposed statistical models explain the patterns of children's neural behaviours. The experimental results show that SM-PAM achieves a 62.45% mean in overall child development. Subsequently, SM-PAM improves children's cognitive development and enhances socioeconomic status compared to other methods.

儿童的心理发展可以被描述为儿童如何随着时间的推移而转变，并将身体、智力和语言发展以及情感和社会发展整合在一起。儿童心理发展涉及视觉、观察、回忆、创造力、反思、问题的解决、智力和表达。社会经济地位 (SES) 会影响幼儿的学业、语言、心理、身体和情感成长。越来越多的证据支持较低的 SES 与学习障碍或其他影响大学成就的负面心理影响之间的联系。因此，本文提出了一种基于统计方法的心理分析模型（SM-PAM）来评估儿童的心理措施，以改善儿童的心理健康。在不与计算支持机制通信的情况下，所提出的统计模型解释了儿童神经行为的模式。实验结果表明，SM-PAM 在儿童整体发展中达到了 62.45% 的平均值。随后，与其他方法相比，SM-PAM 改善了儿童的认知发展并提高了社会经济地位。