Academic Scenarios When Students Have to Analyze Data

For every CIPD scholarly engagement (and for other Master’s and beyond), you’ll face never-ending academic scenarios where data analysis can’t be wished away. There are two challenging times when students need outstanding academic data analysis skills, namely:

When Planning for the Project, Especially During the Review of Literature

The main purpose is to formulate a theoretical research framework; or to inform the choice of research methodology. It also helps students to develop a sound research model to test their arguments and advance their point of view. Oh yes, you need to sieve through the mound of available data looking for relevant data to build a study-specific pattern.

During the Actual Project Paper Writing

There is a whole section of academic papers named after data analysis. After conducting project investigations and collecting scholarly data, students fill in a raw data table. They then comb out for inconsistencies before representing the information in graphical forms.

It’s this meaningfully analyzed data that answers the project question, grounding the findings and recommendations on solid evidence.

Important Note!

Arming students with clear, time-conscious directions for academic data analysis helps them to comprehensively respond to the thesis statement.