Analysis of SEM Model for Student Employment Choice in the Era of Big Data

Abstract

At present, Zhoushan's natural population growth rate is the lowest in Zhejiang, and the ageing in the province is the most serious. From a macro point of view, Zhoushan has to occupy the advantage in the problem of "graduates stay in Zhoushan" to relieve the pressure and sense of urgency brought by the considerable decline in the natural growth rate and to pave the way for the future from the development vision of the strategy of strengthening the country with talent. This study first the qualitative research, the method of research, using the literature analysis, based on the previous analysis of employment impact factors, through classification, screening and sorting, the following final summary and summary of the following more typical and universal factors: urban factors; Natural factors; employment economy; emotional factors; family economy. Then, this study adopts a quantitative analysis method based on the above five research objectives and factors. This study designs a high correlation with each factor forms a questionnaire through cluster analysis to check the correlation of factors and problems and optimizes and modifies the factor classification and problem set to find out the correlation between five factors and the influence of five factors for Zhoushan students. After that, this study draws the corresponding conclusion, puts forward perfect measures and a more feasible scheme, and establishes the corresponding structure equation model.