Factor retention decisions in exploratory factor analysis results: a study type of knowledge management process at Malaysian University Libraries

Che Rusuli, Muhamad Saufi and Tasmin, Rosmaini and Hashim, Norazlin (2013) Factor retention decisions in exploratory factor analysis results: a study type of knowledge management process at Malaysian University Libraries. Asian Social Science Journal, 9 (15). ISSN 1911-2017 (print)

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Official URL: http://dx.doi.org/10.5539/ass.v9n15p227

Abstract

Structural equation modeling (SEM) is a versatile statistical modeling tool which uses in the social sciences research. Recently, in Library and Information Science (LIS) environment, structural equation modeling has gained popularity across many disciplines, due to its generality and flexibility. Its estimation techniques, modeling capabilities and breadth of application are expanding rapidly. This paper reported a structural equation modeling through an Exploratory Factor Analysis (EFA) result, which involves 300 lead users at six selected Malaysian university libraries through survey. The decision of how many factors to retain is a critical component of exploratory factor analysis. Evidence is presented that parallel analysis is one of the most accurate factor retention methods. SPSS 20 was utilized to analyze the factor analysis data. In this regards, the results of EFA could provide empirical evidence of each hypotheses construct. It is hoped that the EFA results could be used to level Confirmatory Factor Analysis (CFA) to perform full Structural Equation Modeling.

Item Type:Article
Uncontrolled Keywords:structural equation modeling; exploratory factor analysis; confirmatory factor analysis (CFA); library and information science
Subjects:Q Science > QA Mathematics > QA273 Probabilities. Mathematical statistics
Divisions:Faculty of Technology Management and Business > Department of Production and Operation
ID Code:4544
Deposited By:Normajihan Abd. Rahman
Deposited On:27 Nov 2013 08:40
Last Modified:27 Nov 2013 08:40

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