Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences

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.

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• Métodos de pesquisa: geral
• Pesquisa e estatística social