In the past, researchers have to sort, classify and store all their literature or artefacts that they had reviewed into computer folders or physical folders/place holders. Researchers also need to create their own tracking mechanism e.g. in a word document or spreadsheet format to track and manage their reviewed literature so that they can re-use or refer to in future. Doing these manually can be daunting tasks.

With the advancement of ICT, researchers can still use the old approaches but more and more researchers now are using software like Mendeley which can help manage, share and discover the literature contents and contacts that they had reviewed. Using software like Mendeley to track a researcher’s literature is saving time and effort as well as capable to manage lots of literature that the researcher was not possible in the past.

The exploratory factor analysis, multiple regression, t-test and Analysis of Variance (ANOVA) are some common data analysis techniques used among researchers conducting quantitative research. There are also some advanced and popular data analysis techniques like path analysis, covariance-based Structural Equation Modeling (SEM), variance-based SEM (partial least squares), hierarchical regression analysis, hierarchical linear modelling et al.