Presentor Biography

Mikko Rönkkö holds the position of Associate Professor of Entrepreneurship At Jyväskylä University School of Business and Economics. His present academic pursuits revolve around technological entrepreneurship and statistical research methodologies. Mikko has established his reputation as a quantitative research expert and has imparted research methods courses at various universities, both within and beyond Finland. His scholarly contributions extend to esteemed journals including Organizational Research Methods, Psychological Methods, Journal of Operations Management, and MIS Quarterly, among others. Mikko assumes the role of department editor for methodological articles in the Journal of Operations Management, while also serving on the editorial boards of Organizational Research Methods and Entrepreneurship Theory and Practice.

Abstract

In this one-hour doctoral-level lecture, we explore the concepts of convergent and discriminant validity, two traditional forms of construct validity evidence in research. We start by defining discriminant and convergent validity, setting the stage for applying these concepts in empirical research. A key highlight of the lecture will be distinguishing convergent validity from reliability, which many current sources on methods omit to explain. We then transition into discussing the scenarios and contexts where demonstrating convergent and discriminant validity is needed and when these concepts can be ignored. The session will also provide an overview of the statistical techniques employed to assess discriminant and convergent validity evidence, offering attendees a practical toolkit for their research endeavors. Concluding the lecture, we will outline a systematic workflow for assessing and reporting convergent and discriminant validity, ensuring that researchers are equipped with the knowledge to communicate their findings effectively and transparently.

Rönkkö, M., & Cho, E. (2022). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6–14. https://doi.org/10.1177/1094428120968614

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