Popoola Segun I, Atayero Aderemi A, Badejo Joke A, Odukoya Jonathan A, Omole David O, Ajayi Priscilla
Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria.
Department of Psychology, Covenant University, Ota, Nigeria.
Data Brief. 2018 Mar 7;18:47-59. doi: 10.1016/j.dib.2018.02.073. eCollection 2018 Jun.
In this data article, we present and analyze the demographic data of undergraduates admitted into engineering programs at Covenant University, Nigeria. The population distribution of 2649 candidates admitted into Chemical Engineering, Civil Engineering, Computer Engineering, Electrical and Electronics Engineering, Information and Communication Engineering, Mechanical Engineering, and Petroleum Engineering programs between 2002 and 2009 are analyzed by gender, age, and state of origin. The data provided in this data article were retrieved from the student bio-data submitted to the Department of Admissions and Student Records (DASR) and Center for Systems and Information Services (CSIS) by the candidates during the application process into the various engineering undergraduate programs. These vital information is made publicly available, after proper data anonymization, to facilitate empirical research in the emerging field of demographics analytics in higher education. A Microsoft Excel spreadsheet file is attached to this data article and the data is thoroughly described for easy reuse. Descriptive statistics and frequency distributions of the demographic data are presented in tables, plots, graphs, and charts. Unrestricted access to these demographic data will facilitate reliable and evidence-based research findings for sustainable education in developing countries.
在这篇数据文章中，我们展示并分析了尼日利亚圣约大学工程专业本科录取学生的人口统计数据。对2002年至2009年间被化学工程、土木工程、计算机工程、电气与电子工程、信息与通信工程、机械工程和石油工程专业录取的2649名考生的人口分布按性别、年龄和籍贯进行了分析。本文提供的数据是从考生在申请进入各个工程本科专业过程中提交给招生与学生记录部（DASR）和系统与信息服务中心（CSIS）的学生生物数据中检索而来的。经过适当的数据匿名处理后，这些重要信息被公开提供，以促进高等教育中新兴的人口统计分析领域的实证研究。本文附有一个Microsoft Excel电子表格文件，并对数据进行了详细描述以便于重复使用。人口统计数据的描述性统计和频率分布以表格、图表、图形和示意图的形式呈现。不受限制地获取这些人口统计数据将有助于为发展中国家的可持续教育得出可靠且基于证据的研究结果。
