University X alumni online survey data on potential role of mentorship in employment and employability

Dataset for a quantitative research. Kram's mentorship theory was used to frame the philosophical grounding of this study. Kram's mentorship theory helped to broaden the understanding of the link between institutional mentorship and employability. The researcher utilised a quantitative survey research approach to explore existing research gaps by determining the effects of institutional mentorship in developing graduates holistically and whether institutional mentorship could positively impact the graduate unemployment crisis. The survey questions targeted alumni of a South African higher education institution. Due to ethical, confidentiality and privacy implications, their responses were anonymized. Probability sampling techniques have been used in this study. In that regard, the selection of respondents was made to allow each member of the targeted population an equal chance to be part of the sample. Therefore, the simple random sampling technique was utilised. Secondly, purposive sampling was utilised to target alumni of University X who had access to the online platform. Accordingly, University X alumni had an equal opportunity to participate. Data collected through the electronic survey were analyzed using Excel data analysis. The data analysis involved processing participants’ responses according to categories of individual and/ or groups of themes linked to the research problem, aim and questions. The editing process entailed verifying data captured by the software to ascertain accuracy and consistency between tables generated by the Excel data analysis.

定量研究数据集。本研究以克拉姆指导理论（Kram's Mentorship Theory）为哲学基础，该理论有助于深化对机构指导与就业能力之间关联的理解。研究者采用定量调查研究方法，通过探究机构指导对毕业生全面发展的影响，以及其是否能对毕业生失业危机产生积极作用，填补现有研究空白。调查问题针对南非某高等教育机构的校友；出于伦理、保密及隐私考量，受访者回答已匿名处理。本研究采用概率抽样技术，确保目标群体中每一位成员均有平等机会被纳入样本，具体使用简单随机抽样法。其次，为覆盖可访问在线平台的X大学（University X）校友，补充采用目的抽样法，使该校校友拥有平等参与机会。电子调查收集的数据通过Excel数据分析工具处理，分析过程依据与研究问题、目标及具体子问题相关的个体主题类别或主题组，对参与者回答进行系统归类与解读。