Training (and Retraining) in Data, Methods, and Theory in the Organizational Sciences

I-O psychologists will increasingly need to make sense of large and complex datasets, such as those generated by organizational human resource systems, or datasets in which people are intersecting over time within and across teams and organizations, in ways that traditional analyses cannot entirely cope with. Therefore, the skills needed to succeed in this environment are likewise changing, while our professional, legal, and ethical wisdom around organizational problems remains valuable – perhaps increasingly so. In terms of new forms of data, methods, and theory emerging, we can learn lessons from how I-O psychology has adopted multilevel models and meta-analysis to see how we might embrace other new methods in the future. For instance, continuing controversies and confusions around traditional null hypothesis significance testing may lead to an increased reliance on Bayesian methods. At the …

See the chapter at Data, Methods and Theory in the Organizational Sciences