Corey Seemiller and David Michael Rosch
We highlight three approaches for structuring data analysis to aid leadership educators and researchers in investigating differences between populations, considering the variable…
Abstract
Purpose
We highlight three approaches for structuring data analysis to aid leadership educators and researchers in investigating differences between populations, considering the variable of age.
Design/methodology/approach
Utilizing real data, we exemplify the three approaches to illustrate how insights might be gained.
Findings
We offer illustrative empirical findings in this reflective essay to demonstrate the three approaches. Our empirical examples are real, but not designed to be the purpose of this essay.
Research limitations/implications
We provide three methodological approaches to analyzing leadership data that can assist leadership educators and researchers in determining an appropriate method for meaning-making with their data.
Originality/value
We seek to describe three different approaches to data analysis that are likely accessible and convenient as well as could lead to insight for leadership educators and researchers.