Exploratory Factor Analysis Essay

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3.5 Data analysis methods
According to Pallant (2007), the obtained data needs to be analysed and interpreted very carefully in order for the researcher to gain valuable and useful information from the study (p. 100). The researcher should have at least understanding statistical techniques used in the study for data analysis. Moreover, Hair et al. (2003) have also mentioned that it is very important to determine the goodness of the collected data and analyse it accurately because the wrong data will lead the useless result (p. 306).
In this study, the quantitative analysis methods will be adopted for the data analysis procedure, the obtained data from the stage of questionnaire pretesting and the final survey will be analysed by the difference …show more content…

Basically, there are two factor types of factor analysis which comprise of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) (DeCoster 1998, p. 1). Exploratory factor analysis (EFA) is generally applied in the early stage of the research in order to collect the data regarding the interrelationship among set of variable. While, confirmatory factor analysis (CFA) is more complex which is used to confirming specific theories or hypotheses concerning the structure underlying a set of variables (Pallant 2007, p. 179).
For this study, exploratory factor analysis was used to explore the interrelationship among the variables and to reduce data in the stage of questionnaire pretesting. To analyse data by applying factor analysis, Kaiser-Meyer-Olkin (KMO) need to be measure in order to identify the sampling adequacy. Also, the appropriateness of factor analysis can be determined by considering KMO and Bartlett’s test of sphericity (Hair et al., 2006). Hence, analyzing the obtained data from the process of questionnaire pretesting will be able to determine problems with the questionnaire before carrying out the final

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