Challenges PhD Students Face While Analyzing Data
Challenges PhD Students Face While Analyzing Data
Learning how to analyze academic data and to critically evaluate arguments is an important component of the educational process. It trains students in the habits of thought in complete readiness for daily activities in their study disciplines. But scholarly data analysis is a daunting task, which is the gist of this post.
In this article, I’ll closely monitor the challenges PhD students face while analyzing data. You know my style by now: we’ll kick off with academic instances when either qualitative or quantitative data analysis is called for. Right after, I’ll describe the most common frameworks and models of analyzing data.
Next, you’ll experience firsthand the challenges associated with qualitative data analysis. At the fourth heading, expect an answer to: “Is it hard to analyze quantitative data?” Before winding up, I’ll give students modern solutions to both qualitative and quantitative data analysis challenges.
