Perks and Potential Pitfalls of a PhD on Secondary Data

Secondary data analysis can be a great way to study relationships between constructs, particularly when large, rich, longitudinal samples are important. It supports learning of more advanced quantitative methods and software, and does not have to be used exclusively, i.e. can be used to augment primary data. As with any method there are potential pitfalls, but they can be planned for and managed.

Read More