Electric car purchase intention
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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.
本数据集涵盖2020年2月至2020年4月期间，通过在线平台及电子邮件渠道，从印度攻读研究生阶段管理学课程的学生处采集的研究数据。本次采集数据的目的为探究并明确印度研究生层次管理学专业学生购买电动汽车（electric car，e-car）意向的维度结构。已对采集得到的原始数据进行清洗，剔除了无效作答与直线型应答（即所有题项均选择同一选项的答卷）。清洗后的有效数据集包含510份有效问卷，共涉及31个测量题项，采用5级李克特计分法（从完全不同意1分到完全同意5分）对管理学专业学生的电动汽车购买意向进行测量，同时收录了受访者的人口统计学特征信息。本研究的测量题项围绕以下因素展开：购买意向（Purchase Intention，PI）、技术收益（Technological Benefits，TB）、驾驶便利性（Driving Convenience，DC）、充电便利性（Charging Convenience，CC）、环境关注度（Environmental Concern，EC）、社会收益（Social Benefits，SB）、经济收益（Economic Benefits，EB）以及政府政策（Government Policy，GP）。在通过恰当方法评估了表面效度、聚合效度与区分效度后，本研究采用验证性因子分析对所提出的理论模型进行检验。随后采用结构方程模型（Structural Equation Modeling，SEM）对各因素间的结构关系相关研究假设进行验证。
