{"title":"基于SPSS统计分析的大学生职业生涯规划实证研究","authors":"Zhuofeng Li","doi":"10.1109/ITEI55021.2021.00070","DOIUrl":null,"url":null,"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.","PeriodicalId":377225,"journal":{"name":"2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Empirical Study of Career Planning for University Students based on SPSS Statistical Analysis\",\"authors\":\"Zhuofeng Li\",\"doi\":\"10.1109/ITEI55021.2021.00070\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":377225,\"journal\":{\"name\":\"2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITEI55021.2021.00070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Internet Technology and Educational Informization (ITEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEI55021.2021.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Empirical Study of Career Planning for University Students based on SPSS Statistical Analysis
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.
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