therefore producing a more interpretable and simplified solution. There are two common rotation techniques: orthogonal rotation and oblique rotation. Researchers have several methods to choose from both rotation options, for example, orthogonal varimax/quartimax or oblique olbimin/promax. Orthogonal Varimax rotation first developed by Thompson is the most common rotational technique used in factor analysis, which produce factor structures that are uncorrelated. In contrast, oblique rotation produce factors that are correlated, which is often seen as producing more accurate results for research involving human behaviours, or when data does not meet priori assumptions. Regardless of which rotation method is used, the main objectives are to provide easier interpretation of results, and produce a solution that is more parsimonious