Comparing Study On Statistical Methods Which Were Applied To Analyze The Relationship Between Social-Psychological Factors And Stress Of Freshmen

ObjectiveThe aims of this study are to understand the psychological stress state of freshmen at present, and probe into the relevant influential factors and find out the inherent relation of the factors through the questionnaire investigation, then set up the neural network model of psychological stress and suggest the measures of stress management.MethodsThe questionnaire in regard to psychological stress and its correlative factors were used to evaluate health state of the freshmen by means of statistical technique, such as analysis of covariance, multiple stepwise regression analysis, principal component regression analysis, logistic regression, BP neural network model and so on. According to the results, we analyze the influential factors, and set up the neural network model, which will predict psychological health and higher accuracy.ResultsThe population of this study is the freshmen. The number of the total utility questionnaire is 785. Through principal component analysis,the equation is y=2.74+ 1.20relationships+ 1.46study +0.80punished+ 0.59 forfeiture+1.44adoption+1.35 others-0.50 positive+1.36negative -1.00subjectively-0.79objectively-1.23utilizeation-0.86e+1.41N+1.12p.Setting up the artificial neural network model of psychological stress,which is proved that there is a good statistical forecast function through training and optimization.