Data, Methods and Theory in the Organizational Sciences : : A New Synthesis.
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| Superior document: | SIOP Organizational Frontiers Ser. |
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| Place / Publishing House: | Milton : : Taylor & Francis Group,, 2022. ©2022. |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | SIOP Organizational Frontiers Ser.
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| Physical Description: | 1 online resource (384 pages) |
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Table of Contents:
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- CONTENTS
- List of Figures
- List of Tables
- Preface
- Series Foreword
- List of Contributors
- 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
- Index.