Analysis

This part turns to the analysis of datasets, the evaluation of results, and the interpretation of the findings. We will outline the three main types of analyses: exploratory data analysis (EDA), predictive data analysis (PDA), and inferential data analysis (IDA). Each of these analysis types have distinct, non-overlapping aims and therefore should be determined from the outset of the research project and included as part of the research blueprint. The aim of this section is to establish a clearer picture of the goals, methods, and value of each of these approaches.

Ackoff, R. L. (1989). From data to wisdom. Journal of Applied Systems Analysis, 16(1), 3–9.

Rowley, J. (2007). The wisdom hierarchy: Representations of the DIKW hierarchy. Journal of Information Science, 33(2), 163–180. doi:10.1177/0165551506070706