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To extract the main characteristics of the original psychological assessment data, we first set up random variables in this paper. The probability values of the parameters are obtained based on significance tests after decomposing the covariance moments. The regression coefficients of the data are predicted using logistic regression after normalization. The accuracy of the assessment was improved by optimizing the parameters of different assessment indicators. Ninety-five children in a kindergarten were selected, and the highest score in the hyperactivity test based on multivariate statistical analysis intervention was 4, and the score indicators of the undesirable factors test all decreased substantially. Implementing psychological assessment of young children based on multivariate statistical analysis can effectively improve their adverse psychological problems and thus improve their psychological health.

The development of rural preschool education (RPE) is not only related to the healthy growth of rural preschool children, but also to social fairness and sustainable development. Therefore, the development of RPE not only involves the expansion of quantity, but also the improvement of its quality. At present, in China's RPE, the determination of value goals There are still many obstacles in terms of source supply, institutional mechanism construction, development mode selection, and external environment construction, which make the high-quality development of RPE lack good internal motivation and external support. In view of this situation, some researchers have begun to explore the high-quality and sustainable development of RPE differently. However, the high-quality development of RPE is a systematic reform project that needs to start from the present. From multiple perspectives such as reality and history, internal and external education, this paper examines the systematic and global nature of RPE reform and development. The development level evaluation of RPE is a MADM. In this paper, the generalized weighted Bonferroni mean (GWBM) decision operator and power average (PA) is designed to manage the MADM under single-valued neutrosophic sets (SVNSs). Then, the generalized single-valued neutrosophic number power WBM (GSVNNPWBM) decision operator is constructed and the MADM model are constructed based on GSVNNPWBM decision operator. Finally, a decision example for development level evaluation of RPE and some useful comparative studies were constructed to verify the GSVNNPWBM decision operator. [ABSTRACT FROM AUTHOR]