He has written four books: Reasoning with Data: An Introduction to Traditional and Bayesian Statistics with R, An Introduction to Data Science with lead author and fellow iSchool professor Jeffrey Saltz, Information Nation: Education and Careers in the Emerging Information Professions, with Dr. Indira Guzman and Dr. Kathryn Stam; and The Visible Employee: Using Workplace Monitoring and Surveillance to Protect Information Assets Without Compromising Employee Privacy or Trust, with Dr. Kathryn Stam.
Everyone Talks About the Null, But Almost Nobody Does Anything About It!
Testing and rejecting the null hypothesis is a routine part of quantitative research, but relatively few organizational researchers prepare for confirming the null or, similarly, testing a hypothesis of equivalence (e.g., that two group means are practically identical). Both theory and practice could benefit from greater attention to this capability. Planning ahead for equivalence testing also provides helpful input on assuring sufficient statistical power in a study. This CARMA webcast provides a brief tutorial on the use of two frequentist and two Bayesian techniques for testing a hypothesis of no non-trivial effect. This webcast is based on a 2020 article in Organizational Research Methods entitled, “Evaluating Equivalence and Confirming the Null in the Organizational Sciences.”