Dr. Daniel Newman has been chosen as this year's Advancement of Organizational Research Methodology Award winner. The Sage Publications award seeks to acknowledge outstanding contributions that have made significant contributions to research methodology. Dr. Newman's work, titled "Missing Data: Five Practical Guidelines", discussed the current best known techniques for how researchers can address missing data in their work.
Missing data can severely bias statistical tests and render findings uninterpretable if not handled appropriately. Dr. Newman's paper provides clear explanations for how some common practices may make the problem worse and provides a summary and usage guidelines for current best practices to prevent unwanted bias and inaccuracy in data analysis. The work is written in a format that is designed to be accessible to researchers outside of statistics and thus serves to create a broader awareness of statistical best practices and create more robust research findings in many fields.