Aspire data set

A four factor Aspire model consisting of benefits, nature of work, employer value, and employer visibility is tested using data collected from undergraduate and postgraduate students from an higher education technical institute in India over a period of five years. Data was collected using google form. The data set contains 1431 responses. Column C to H contains student's career, gender, program, specialization and graduating year information. Column I to AB contains twenty Aspire model attributes. Column AD to BB contains 25 recruiter ratings. In both cases a five point Likert scale is used. The overall sample was randomly split into two subsamples for the exploratory factor analysis (EFA) and the confirmatory factor analysis (CFA). Sample 1 (n = 697) numbered EFA1 to EFA697 is used for the EFA and sample 2 (n = 734) numbered CFA1 to CFA734 is used for the CFA.

搜集汇总

背景与挑战

背景概述

该数据集包含1431份来自印度高校学生的问卷，用于测试包含四个因素（benefits, nature of work, employer value, employer visibility）的Aspire模型。数据包括学生个人背景信息、20个Aspire模型属性以及25个招聘者评分，均采用五点李克特量表，并且样本被随机分为两个子样本分别用于探索性因子分析和验证性因子分析。