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A discussion of obser-view as a method of generating data in the construction industry

A discussion of obser-view as a method of generating data in the construction industry

Umeokafor, Nnedinma ORCID logoORCID: https://orcid.org/0000-0002-4010-5806 (2015) A discussion of obser-view as a method of generating data in the construction industry. Civil Engineering Dimension, 17 (1). pp. 54-58. ISSN 1410-9530 (Print), 1979-570X (Online) (doi:10.9744/CED.17.1.54-58)

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Abstract

This study demonstrates the paradigmatic position of obser-view and argues for the incorporation of reflectivity in obser-view to foster rigorous data generation. Aimed at introducing obser-view to the construction industry as a method of generating data, this study critically examines obser-view, exploring its application to construction research. Obser-view is an emerging data collection technique developed by Kragelund in 2006, where a non-scripted interview immediately post-observation is conducted. This helps to gain a deeper understanding of the phenomenon. Although researchers adopt various strategies to ensure rigor in qualitative research, there are still concerns in relation to validity, reliability, bias and objectivity in qualitative research. However, developing strategies that will help in gaining a deeper understanding of the phenomenon in study and tackling the aforementioned challenges will help in ensuring transparency in qualitative research. A review of literature is presented, the limitations and benefits of obser-view are also presented

Item Type: Article
Additional Information: Civil Engineering Dimension Open Access Policy: This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. This Journal is published by The Institute of Research & Community Outreach - Petra Christian University. Supported by Directorate General of Higher Education - Ministry of National Education - Republic of Indonesia.
Uncontrolled Keywords: construction industry; data; obser-view; qualitative research; validity
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TH Building construction
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified: 17 Oct 2022 11:01
URI: http://gala.gre.ac.uk/id/eprint/13230

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