详细信息
中国社工本科毕业生的就业状况研究——基于2015-2017年全国数据的分析
On the Employment Status of Graduates of Social Work in China:Based on the Analysis of National Data from 2015 to 2017
文献类型:期刊文献
中文题名:中国社工本科毕业生的就业状况研究——基于2015-2017年全国数据的分析
英文题名:On the Employment Status of Graduates of Social Work in China:Based on the Analysis of National Data from 2015 to 2017
作者:曾守锤[1]
机构:[1]华东理工大学社会工作系
年份:2019
卷号:34
期号:6
起止页码:19
中文期刊名:华东理工大学学报(社会科学版)
外文期刊名:Journal of East China University of Science and Technology:Social Science Edition
收录:国家哲学社会科学学术期刊数据库;北大核心:【北大核心2017】;CSSCI:【CSSCI_E2019_2020】;
基金:2013年度上海市教育科学研究市级项目的资助(B13015)
语种:中文
中文关键词:社会工作本科毕业生;就业率;二手资料分析法;多时间点数据
外文关键词:graduates of social work;employment rate;second-hand data analysis;multi-time data
摘要:鉴于以往关于中国社工本科毕业生就业状况的研究缺乏全国代表性样本和多时点数据,本文采用二手资料分析的方法,以各大学所发布的《毕业生就业质量报告》为基础,对2015-2017年中国社工本科毕业生的就业状况进行了研究。结果发现,虽然该专业毕业生的就业率在2015和2016年(略)低于其他专业的毕业生,2017年略高于其他专业的毕业生,但独立样本的t检验结果表明,二者并不存在显著的差异(p>0.05)。这证伪了某些研究者所提出的“社工本科毕业生就业率更差”的结论,也表明了单一样本研究所存在的局限性。此外,本文还发现,社工本科毕业生的就业率及其排名存在巨大的校际差异,且该专业就业率的稳定性较弱。
In view of the lack of national representative samples and multi-time data in previous studies on the employment status of graduate social work graduates in China,this study uses the“Report on the Quality of Graduates’Employment”issued by various universities and the method of second-hand data analysis to study the employment status of undergraduate social work graduates in China in 2015-2017.Findings show that although the employment rate of the graduates of this discipline was slightly lower and/or higher than that of other disciplines in 2015-2017,the independent-samplet test showed that the difference is not significant(p>0.05).This falsified the conclusion of some researchers that“the employment rate of social workers is worse than that of other majors”,and indicated the limitations of case study.In addition,this study also found that there were huge inter-school differences in the employment rate of graduate of social work and its ranking,and the stability of the employment rate of this major was weak.
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