Factor analysis was applied by using Principal Component Analysis (PCA) to
group interrelated variables or scale items into one factor which consequently
reduced the overall number of factors in order to facilitate further analysis (Field,
2006). There are three stages involved in conducting PCA, which are the
determination of the data appropriateness, factor extraction, and factor rotation,
as can be seen in Figure 2 (Pallant, 2010).