An Inferential Statistical Analysis of Quantity Surveyors’ Awareness of Organisational Barriers to Risk Management Practices on Construction Projects

Authors

  • Alolote Ibim Amadi Rivers State University, Port Harcourt

DOI:

https://doi.org/10.37591/rrjost.v12i2.3749

Keywords:

Construction projects, inferential statistics, organisational barriers, quantity surveyors, risk management

Abstract

In this paper, we carry out research on stress related correlate factors in road accidents in Nigeria. The researchers identified four types of stress namely; mental stress, economic stress, road stress and insecurity stress. Each of these types of stress was measured (via its respective proxy variable) on perception index scales. The researchers collected data using the instrument of questionnaires. A simple random sampling technique was used to draw ten transport companies operating in Owerri for the study. Twenty (20) copies of questionnaire were distributed to each transport company’s highway drivers to respond. A total of one hundred and thirty-two (132) copies of questionnaire were correctly filled and returned and that formed our sample size for the study. The response rate was 66%, and it is considered reasonable for the research. The questions posed were ranked into 4-point Linkert scale. The attached scales (ranks) converted the data from ordinal to interval scale. We applied average and Karl Pearson’s correlation for the analysis. From the analysis, we observed that not all types of stress were significant. Again, we observed that the four identified stress types correlated with road accidents. Whereas the mental and economic stress correlate negatively with road accidents, road and insecurity stress correlate positively with road accidents. We rejected all the null hypotheses and conclude that there is correlation between stress and road accidents in Nigeria.

Author Biography

  • Alolote Ibim Amadi, Rivers State University, Port Harcourt
    Senior Lecturer, Department of Quantity Surveying

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Published

2023-11-24

Issue

Vol. 12 No. 2 (2023)

Section

Research Article

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