Attesting Building Defect Causality Factors of The Actual Project Data and Internet Survey: A Triangulation Method on Empirical Data Statistical Analysis

  • Roslan Talib Ts Dr
  • Mohd Zailan Sulieman Universiti Sains Malaysia -HBP


The paper aims to analyse the findings of the building or the construction defects found from the mix-method research through the triangulation technique to maximise its results consistencies. Early on, the methodology approach for the study involved the mix-method option involving the collection of the actual projects’ defect data and the structured online questionnaires survey. In this paper, a triangulation method was used to increase the credibility and validity of research findings. The findings revealed a strong correlation between actual defect variables empirical input and the descriptive statistical defect census. The results also show the Likert Scale’s Google Form (LS GF) responses on the actual defects independent and dependent variables versus statistical defect census survey; tabulates on decisive co-relation causation factor between the multiple defect categories. The paper describes, identifies, and proved the critical aspect of building defects contribution factors from actual defects data collection and online census's statistical input.


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How to Cite
TALIB, Roslan; SULIEMAN, Mohd Zailan. Attesting Building Defect Causality Factors of The Actual Project Data and Internet Survey: A Triangulation Method on Empirical Data Statistical Analysis. International Journal of Business and Technology Management, [S.l.], v. 5, n. 1, p. 238-248, mar. 2023. ISSN 2682-7646. Available at: <>. Date accessed: 29 sep. 2023.