1st Edition
Data, Methods and Theory in the Organizational Sciences A New Synthesis
Preface
Part 1: Data
1. 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 Field
3. Data sharing and Data Integrity – Martin Göetz and James Field
4. Using Data in Organizations - Alexis Fink and Keith McNulty
Part 2: Methods
5. Evaluating data - Louis Hickman, Chelsea Song and Sang Eun Woo
6. Organic Data and the Design of Studies – Nan Zhang, Heng Xu and Le Zhou
7. Surviving the Statistical Arms Race – Kevin R. Murphy
Part 3: Theory
8. 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. Russell
Part 4: Implications for Organizational Science
11. 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 Courey
13. Rebuilding Relationships between Data, Method, and Theories: How the Scientific Method Can Help – Jeffrey Cucina and Mary Anne Nester
Biography
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.






