Data, Methods and Theory in the Organizational Sciences explores the long-term evolution and changing relationships between data, methods, and theory in the organizational sciences and suggests new ways of thinking about the role of each in the development and presentation of research in organizations.

Kevin R. Murphy is Professor Emeritus at the University of Limerick, Ireland. He is a former SIOP President and Editor of the Journal of Applied Psychology, and has been published in areas ranging from performance appraisal and psychometrics to honesty in the workplace.

Part 1: Data 1. Organizational Data and its Implications for Research and Theory 2. Using Other Peoples' Data: Implications of Reliance on Meta-analysis and Archival Data 3. Data sharing and Data Integrity 4. Using Data in Organizations Part 2: Methods 5. Evaluating data 6. Organic Data and the Design of Studies 7. Surviving the Statistical Arms Race Part 3: Theory 8. How do Theories in the Behavioral and Social Sciences Emerge, Develop and Decline?: The Evolution of Politics Perceptions Theory 9. The Data Revolution and the Interplay Between Theory and Data 10. Scholarly Course Corrections Needed to Advance Organizational Science: Field Tests of Theory-based Deductions are Long Overdue Part 4: Implications for Organizational Science 11. The Research Environment: Opportunities and Obstacles for Advancing Organizational Science 12. Training (and Retraining) in Data, Methods, and Theory in the Organizational Sciences 13. Rebuilding Relationships between Data, Method, and Theories: How the Scientific Method Can Help