Electric car purchase intention

The dataset contains the data collected through an online platform and via emails from February 2020 to April 2020 from management students pursuing their postgraduate program in India. This data obtained to investigate and to identify the dimensionalities of electric car (e-car) purchase intentions among postgraduate management students in India. The collected data was cleaned by removing the invalid and straight-lined responses. The cleaned data includes 510 responses on 31 items that measures the management students’ intentions to purchase an electric car (e-car) on a five point Likert scale (strongly disagree-1 to strongly agree-5) besides the responses on demographic profile of respondents. Items included in the study were relevant to the factors Purchase Intention (PI), Technological Benefits(TB), Driving Convenience(DC), Charging Convenience(CC), Environmental Concern(EC), Social Benefits(SB), Economic Benefits(EB) and Government Policy(GP). After assessing the face validity, convergent validity and discriminant validity using appropriate measures, confirmatory factor analysis was carried out to assess the proposed model. SEM was used to test the hypothesis about the structural relationship among the factors.

本数据集收录了自2020年2月至2020年4月，通过在线平台及电子邮件收集的印度攻读研究生学位的管理学学生的相关数据。数据收集旨在探究并识别印度研究生管理学学生在电动汽车（e-car）购买意愿的维度。收集到的数据经过清理，移除了无效和线性回答。清洗后的数据包括510份有效回应，针对31个项目进行测量，这些项目评估了管理学生购买电动汽车（e-car）的意愿，采用五点李克特量表（从强烈反对-1到强烈同意-5）进行评分，此外还包括了受访者的人口统计特征。研究中所包含的项目与购买意愿（PI）、技术效益（TB）、驾驶便利性（DC）、充电便利性（CC）、环境关注（EC）、社会效益（SB）、经济效益（EB）和政府政策（GP）等因素相关。通过使用适宜的测量方法对表面效度、收敛效度和区分效度进行评估后，对所提出的模型进行了验证性因素分析。结构方程模型（SEM）被用于检验各因素之间的结构关系假设。