Data, methods, and theory in the organizational sciences : a new synthesis
edited by Kevin R Murphy
PrefacePart1: Data1. Organizational Data and its Implications for Research and Theory - Rick Guzzo 2. Using Other Peoples' Data: Implications of Reliance on Meta-analysis and Archival Data - Frank Bosco and James Field3. Data sharing and Data Integrity - Martin Göetz and James Field 4. Using Data in Organizations - Alexis Fink and Keith McNulty Part 2: Methods5. Evaluating data - Louis Hickman, Chelsea Song and Sang Eun Woo 6. Organic Data and the Design of Studies - Nan Zhang, Heng Xu and Le Zhou7. Surviving the Statistical Arms Race - Kevin R. Murphy Part 3: Theory8. How do Theories in the Behavioral and Social Sciences Emerge, Develop and Decline?: The Evolution of Politics Perceptions Theory - Wayne Hochwater, Christopher C. Rosen and Samantha L. Jordan 9. The Data Revolution and the Interplay Between Theory and Data - Steve W.J. Kozlowski 10 Scholarly Course Corrections Needed to Advance Organizational Science: Field Tests of Theory-based Deductions are Long Overdue - Craig J. RussellPart 4: Implications for Organizational Science11. The Research Environment: Opportunities and Obstacles for Advancing Organizational Science. Georgia T. Chao 12. Training (and Retraining) in Data, Methods, and Theory in the Organizational Sciences - Fred Oswald, Felix Y. Wu and Karyssa Courey13. Rebuilding Relationships between Data, Method, and Theories: How the Scientific Method Can Help - Jeffrey Cucina and Mary Anne Nester
