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Identified for deletion - duplicate of 119584

Citation

Maskey, R and Fei, J and Nguyen, H-O, Identified for deletion - duplicate of 119584, Proceedings of the annual conference of the International Association of Maritime Economists (IAME) 2017, 27-30 June 2017, Kyoto, Japan, pp. 1-25. (2017) [Refereed Conference Paper]

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Copyright Statement

Copyright 2017 IAME

Official URL: http://web.apollon.nta.co.jp/iame2017/index.html

Abstract

The purpose of this paper is to illustrate in detail the approaches that can be undertaken to attain a reasonable factor solution that fulfils the criteria of Factor Analysis, achieves the research aims and makes interpretation easy. Since factor analysis can result in an infinite number of solutions, it is up to the researcher to decide which one to choose. Hence, thoughtful researcher judgements are critical in conducting exploratory factor analysis (EFA) and acquiring the rational outcome. For beginners, it might be unclear to make decision as to which factor solution to select that is acceptable, justifiable and interpretable. There are a number of circumstances that a researcher might come across where she/he has to make subjective decisions considering a number of traits such as the loadings, cross-loadings, number of items under each factor and factor scores. Most of the research papers that use EFA do not explain in detail how the final factor structure has been acquired. Hence, this paper aims to provide future researchers aiming to use EFA in their studies, an example of a complete EFA process. To achieve the aim of this paper, published articles across maritime journals will be examined to discuss the use of EFA. This will be followed by an example of EFA using an empirical data set to emphasise the approaches that can be undertaken to make decisions as to whether to retain or drop an item from the analysis to attain an interpretable factor solution. This factor solution can then be used to compute the scores of each factor that constitutes a number of observed variables (survey items) to be used for subsequent analyses such as multiple regression.

Item Details

Item Type:Refereed Conference Paper
Keywords:exploratory factor analysis, EFA, factor structure, factor loading, maritime
Research Division:Commerce, Management, Tourism and Services
Research Group:Transportation and Freight Services
Research Field:Transportation and Freight Services not elsewhere classified
Objective Division:Transport
Objective Group:Other Transport
Objective Field:Transport not elsewhere classified
Author:Maskey, R (Ms Reenu Maskey)
Author:Fei, J (Dr Jiangang Fei)
Author:Nguyen, H-O (Dr Oanh Nguyen)
ID Code:120469
Year Published:2017
Deposited By:Maritime and Logistics Management
Deposited On:2017-08-25
Last Modified:2017-11-23
Downloads:0

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