Which story to tell: applying age, period, and cohort approaches to leadership assessment

Author:

Seemiller CoreyORCID,Rosch David MichaelORCID

Abstract

PurposeWe 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/approachUtilizing real data, we exemplify the three approaches to illustrate how insights might be gained.FindingsWe 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/implicationsWe 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/valueWe 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.

Publisher

Emerald

Reference18 articles.

1. Distinguishing aging, period and cohort effects in longitudinal studies in elderly populations;Socio-Economic Planning Sciences,1977

2. Age, period, and cohort effects contributing to the Great American Migration slowdown;Demographic Research,2021

3. Columbia University (n.d.). Age-period-cohort analysis. Available from: https://www.publichealth.columbia.edu/research/population-health-methods/age-period-cohort-analysis

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