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Employment status and education/employment relationship of PhD graduates from the University of Ferrara

机译：费拉拉大学的博士学位毕业生的就业状况和教育/就业关系

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Two sample surveys of Post-Docs were planned and carried out at the University of Ferrara in 2004 and 2007 aimed at determining the professional status of Post-Docs, the relationship between their PhD education and employment, and their satisfaction with certain aspects of the education and research program. As part of these surveys, two methodological contributions were developed. The first concerns an extension of the non-parametric combination of dependent rankings to construct a synthesis of composite indicators measuring satisfaction with particular aspects of PhD programs [R. Arboretti Giancristofaro and L. Salmaso, Global ranking indicators with application to the evaluation of PhD programs, Atti del Con-vegno "Valutazione e Customer Satisfaction per la Qualita dei Scrvizi", Roma, 8-9 Settembre 2005, pp. 19-22; R. Arboretti Giancristofaro, S. Bonnini, and L. Salmaso, A performance indicator for multivariate data, Quad. Stat. 9 (2007), pp. 1-29; R. Arboretti Giancristofaro, F. Pesarin, and L. Salmaso, Nonpara-metric approaches for multivariate testing with mixed variables and for ranking on ordered categorical variables with an application to the evaluation of PhD programs, in Real Data Analysis, S. Sawilowsky, ed., a volume in Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching, Ronald C. Serlin, series ed., Information Age Publishing, Charlotte, North Carolina, 2007, pp. 355-385]. The procedure was applied to highlight differences in the interviewed Post-Docs' multivariate satisfaction profiles in relation to two aspects: education/employment relationship; employment expectations; and opportunities. The second consists of an inferential procedure providing a solution to the problem of hypothesis testing, where the objective is to compare the heterogeneity of two populations on the basis of sampling data [G.R. Arboretti, S. Bonnini, and F. Pesarin, A permutation approach for testing heterogeneity in two-sample categorical variables, Stat. Compul. (2009) doi: 10.1007/S11222-008-9085-8.]. The procedure was applied to compare the degrees of heterogeneity of Post-Doc judgments in the two surveys with regard to the adequacy of the PhD education for the work carried out.
机译：2004年和2007年在费拉拉大学计划并进行了两次博士后抽样调查，旨在确定博士后的职业状况，博士教育与就业之间的关系以及他们对教育某些方面的满意度和研究计划。作为这些调查的一部分，开发了两种方法。第一个涉及依存排名非参数组合的扩展，以构建衡量对博士课程特定方面满意度的综合指标的综合[R. Arboretti Giancristofaro和L. Salmaso，《全球排名指标及其在博士课程评估中的应用》，Atti del Con-vegno“按质量要求评估客户满意度”，罗马，2005年9月9日至9日，第19-22页； R. Arboretti Giancristofaro，S。Bonnini和L.Salmaso，多元数据的绩效指标，Quad。统计9（2007），第1-29页； R.Arboretti Giancristofaro，F.Pesarin和L.Salmaso，《非参数方法用于混合变量的多变量测试以及对有序的分类变量进行排名》，该方法在PhD程序评估中的应用，S.Sawilowsky，编，《教育和行为科学中的定量方法：问题，研究与教学》，Ronald C. Serlin，系列主编，《信息时代》出版，北卡罗来纳州夏洛特，2007年，第355-385页]。该程序用于突出受访博士后的多元满意度概况在以下两个方面的差异：教育/就业关系；就业期望；和机会。第二个步骤由一个推论程序组成，该程序为假设检验问题提供了解决方案，目的是根据抽样数据比较两个总体的异质性。 Arboretti，S。Bonnini和F.Pesarin，一种用于检验两样本分类变量中的异质性的置换方法，Stat。强制（2009）doi：10.1007 / S11222-008-9085-8。]。该程序用于比较两次调查中博士后判断在进行的工作是否适当方面的异质程度。

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