ISBN:
9781433830099
Language:
English
Pages:
1 Online-Ressource (ix, 637 Seiten)
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Parallel Title:
Erscheint auch als Humphrey, Stephen E The Handbook of Multilevel Theory, Measurement, and Analysis
DDC:
302.01
Abstract:
This handbook shows scholars how to conduct multilevel research. Chapters discuss the importance of context, dynamics, and complexity, and guide readers through the nuances of research design and analysis
Abstract:
Intro -- Contributors -- Introduction -- Part I. Multilevel Theory -- Chapter 1. On Finding Your Level -- Chapter 2. Contextualizing Context in Organizational Research -- Chapter 3. Ask Not What the Study of Context Can Do for You: Ask What You Can Do for the Study of Context -- Chapter 4. The Only Constant Is Change: Expanding Theory by Incorporating Dynamic Properties Into One's Models -- Chapter 5. The Means Are the End: Complexity Science in Organizational Research -- Chapter 6. The Missing Levels of Microfoundations: A Call for Bottom-Up Theory and Methods -- Chapter 7. Multilevel Emergence in Work Collectives -- Chapter 8. Multilevel Thoughts on Social Networks -- Chapter 9. Conceptual Foundations of Multilevel Social Networks -- Part II. Multilevel Measurement and Design -- Chapter 10. Introduction to Data Collection in Multilevel Research -- Chapter 11. Construct Validation in Multilevel Studies -- Chapter 12. Multilevel Measurement: Agreement, Reliability, and Nonindependence -- Chapter 13. Looking Within: An Examination, Combination, and Extension of Within-Person Methods Across Multiple Levels of Analysis -- Chapter 14. Power Analysis for Multilevel Research -- Chapter 15. Explained Variance Measures for Multilevel Models -- Chapter 16. Missing Data in Multilevel Research -- Part III. Multilevel Analysis -- Chapter 17. A Primer on Multilevel (Random Coefficient) Regression Modeling -- Chapter 18. Dyadic Data Analysis -- Chapter 19. A Primer on Multilevel Structural Modeling: User-Friendly Guidelines -- Chapter 20. Moderated Mediation in Multilevel Structural Equation Models: Decomposing Effects of Race on Math Achievement Within Versus Between High Schools in the United States -- Chapter 21. Anything but Normal: The Challenges, Solutions, and Practical Considerations of Analyzing Nonnormal Multilevel Data
Abstract:
Chapter 22. A Temporal Perspective on Emergence: Using Three-Level Mixed-Effects Models to Track Consensus Emergence in Groups -- Chapter 23. Social Network Effects: Computational Modeling of Network Contagion and Climate Emergence -- Part IV. Reflections on Multilevel Research -- Chapter 24. Cross-Level Models -- Chapter 25. Panel Interview: Reflections on Multilevel Theory, Measurement, and Analysis -- About the Editors
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