An Empirical Study of Career Planning for University Students based on SPSS Statistical Analysis

Abstract

Career planning is crucial in helping students to improve their career awareness and employability. This study conducted a quantitative study with 433 questionnaires (M=208, F=225, Mage=21.6) on the situations of university students' career planning. Correlation analysis, difference analysis and cluster analysis (K-means algorithm and Pam algorithm) were used with SPSS statistics software to understand their status in four indicators–self-understanding., status assessment., career exploration and decision action.