Blog
About

  • Record: found
  • Abstract: found
  • Article: found
Is Open Access

Survey dataset on occupational hazards on construction sites

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      The construction site provides an unfriendly working conditions, exposing workers to one of the harshest environments at a workplace. In this dataset, a structured questionnaire was design directed to thirty-five (35) craftsmen selected through a purposive sampling technique on various construction sites in one of the most populous cities in sub-Saharan Africa. The set of descriptive statistics is presented with tables, stacked bar chats and pie charts. Common occupational health conditions affecting the cardiovascular, respiratory and musculoskeletal systems of craftsmen on construction sites were identified. The effects of occupational health hazards on craftsmen and on construction project performance can be determined when the data is analyzed. Moreover, contractors’ commitment to occupational health and safety (OHS) can be obtained from the analysis of the survey data.

      Related collections

      Most cited references 19

      • Record: found
      • Abstract: not found
      • Article: not found

      Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards

        Bookmark
        • Record: found
        • Abstract: found
        • Article: found
        Is Open Access

        Survey datasets on the externalizing behaviors of primary school pupils and secondary school students in some selected schools in Ogun State, Nigeria

        This data article contains the partial analysis (descriptive statistics) of data obtained from 1770 primary school pupils and secondary school students in three Local Government Areas of Ogun State, Nigeria. The schools are either privately owned or public (government owned) schools. The aim of the field survey is to measure the level and patterns of externalizing behavior of the respondents. The data was collected using a standardized questionnaire. The questionnaire is a modification of Achenbach manual for Child behavior checklist (Achenbach, 2001) [1] and manual for Youth self-report (Achenbach and Rescorla, 2001) [2]. The questionnaire was designed to suit the demographic and socio-cultural nature of the target population. Analysis of the data can provide useful insights to the patterns of externalizing behavior of primary school pupils and secondary school students.
          Bookmark
          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Learning analytics for smart campus: Data on academic performances of engineering undergraduates in Nigerian private university

          Empirical measurement, monitoring, analysis, and reporting of learning outcomes in higher institutions of developing countries may lead to sustainable education in the region. In this data article, data about the academic performances of undergraduates that studied engineering programs at Covenant University, Nigeria are presented and analyzed. A total population sample of 1841 undergraduates that studied Chemical Engineering (CHE), Civil Engineering (CVE), Computer Engineering (CEN), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mechanical Engineering (MEE), and Petroleum Engineering (PET) within the year range of 2002–2014 are randomly selected. For the five-year study period of engineering program, Grade Point Average (GPA) and its cumulative value of each of the sample were obtained from the Department of Student Records and Academic Affairs. In order to encourage evidence-based research in learning analytics, detailed datasets are made publicly available in a Microsoft Excel spreadsheet file attached to this article. Descriptive statistics and frequency distributions of the academic performance data are presented in tables and graphs for easy data interpretations. In addition, one-way Analysis of Variance (ANOVA) and multiple comparison post-hoc tests are performed to determine whether the variations in the academic performances are significant across the seven engineering programs. The data provided in this article will assist the global educational research community and regional policy makers to understand and optimize the learning environment towards the realization of smart campuses and sustainable education.
            Bookmark

            Author and article information

            Affiliations
            Covenant University, Nigeria
            Contributors
            Journal
            Data Brief
            Data Brief
            Data in Brief
            Elsevier
            2352-3409
            13 April 2018
            June 2018
            13 April 2018
            : 18
            : 1365-1371
            5997095
            S2352-3409(18)30379-2
            10.1016/j.dib.2018.04.028
            © 2018 The Authors

            This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

            Categories
            Construction and Architecture

            Comments

            Comment on this article