The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences: Volume 1: Building a Program of Research

ISBN-13: 9781108995245 / Angielski / Miękka / 2023 / 600 str.

Nichols, Austin Lee

Opis

An advanced reference for scholars across the social and behavioral sciences written by the leading experts in methods and statistics.

Recenzje

'This book covers many topics in methodology and statistics from a wide variety of voices and perspectives. Collectively, they comprise what might be the most comprehensive single book about how to conduct social-behavioral research. Even more than covering the design and conduct of research, the book situates the reader in their role as a scholar, teacher, reviewer, and colleague in advancing rigorous and credible research.' Brian Nosek, University of Virginia, USA

Spis treści

Section 1. From idea to reality: the basics of research: 1. Promises and pitfalls of theory Yzar S. Wehbe, Todd K. Shackelford and Laith Al-Shawaf; 2. Research ethics for the behavioral and social sciences Ignacio Ferrero and Javier Pinto; 3. Getting good ideas and making the most of them Christian S. Crandall and Mark Schaller; 4. Literature review Rachel Adams Goertel; 5. Choosing a research design Glynis M. Breakwell; 6. Building the study Martin Schnuerch and Edgar Erdfelder; 7. Analyzing data Roger Watt and Elizabeth Collins; 8. Writing the paper John F. Dovidio; Section 2. The building blocks of a study: 9. Participant recruitment Jesse Chandler; 10. Informed consent to research David S. Festinger, Karen L. Dugosh, Hannah R. Callahan and Rachel A. Hough; 11. Experimenter effects Jocelyn Parong, Mariya Vodyanyk, C. Shawn Green, Susanne M. Jaeggi and Aaron R. Seitz; 12. Debriefing and post-experimental procedures Travis D. Clark and Ginette Blackhart; Section 3. Data collection: 13. Cross-sectional studies Maninder Singh Setia; 14. Quasi-experimental research Charles S. Reichardt, Daniel Storage and Damon Abraham; 15. Non-equivalent control group pretest-posttest design in social and behavioral research Margaret Denny, Suzanne Denieffe and Kathleen O'Sullivan; 16. Experimental methods Thomas F. Denson and Craig A. Anderson; 17. Longitudinal research: a world to explore Elisabetta Ruspini; 18. Online research methods Kevin B. Wright; 19. Archival data Jason Miller; 20. Qualitative research design Sinikka Elliott, Kayonne Christy and Siqi Xiao; Section 4. Statistical approaches: 21. Data cleaning Solveig A. Cunningham and Jonathan A. Muir; 22. Descriptive and inferential statistics Martha S. Zlokovich, Daniel P. Corts and Mary Moussa Rogers; 23. Testing theories with Bayes factors Zoltan Dienes; 24. Introduction to exploratory factor analysis: an applied approach Martin Sellbom and David Goretzko; 25. Structural equation Modeling Rex B. Kline; 26. Multilevel modeling D. Betsy McCoach, Anthony J. Gambino and Sarah D. Newton; 27. Meta-analysis in the social and behavioral sciences Jessica Gurevitch, Anne Moyer and Yuri Jadotte; 28. Qualitative analysis Nicky Hayes; 29. Designing a line of research Sheldon Solomon, Jeff Greenberg and Tom Pyszczynski; Section 5. Tips for a successful research career: 30. Successfully publishing research in the social and behavioral sciences Sicong Liu and Dolores Albarracin; 31. Presenting your research Kelly Cuccolo; 32. Building fruitful collaborations Mary G. Carey and Wendy M. Brunner; 33. Performing a good peer review Klaus Fiedler and Christian Unkelbach; 34. Handling submitted manuscripts: as editor and author Lisa L. Harlow; 35. Grant writing basics Tamera R. Schneider, Howard C. Nusbaum and Jennifer N. Baumgartner; 36. Teaching research methods and statistics Jordan R. Wagge; 37. Working outside academia Kevin A. Byle, Jeffrey M. Cucina, Alexis Avery and Hanna Pillion.