The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences: Volume 2

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"The first of three volumes, the five parts of this book cover a variety of issues important in developing, designing, and analyzing data to produce high-quality research efforts and cultivate a productive research career. First, leading scholars from around the world provide a step-by-step guide to doing research in the social and behavioral sciences. After discussing some of the basics, the various authors next focus on the important building blocks of any study. In Part III, various types of quantitative and qualitative research designs are discussed, and advice is provided regarding best practices of each. The volume then provides an introduction to a variety of important and cutting-edge statistical analyses. In the last part of the volume, nine chapters provide information related to what it takes to have a long and successful research career. Throughout the book, example and real-world research efforts from dozens of different disciplines are discussed"--

Résumé
In a time where new research methods are constantly being developed and science is evolving, researchers must continually educate themselves on cutting-edge methods and best practices related to their field. The second of three volumes, this Handbook provides comprehensive and up-to-date coverage of a variety of issues important in developing, designing, and collecting data to produce high-quality research efforts. First, leading scholars from around the world provide an in depth explanation of various advanced methodological techniques. In section two, chapters cover general important methodological considerations across all types of data collection. In the third section, the chapters cover self-report and behavioral measures and their considerations for use. In the fourth section, various psychological measures are covered. The final section of the handbook covers issues that directly concern qualitative data collection approaches. Throughout the book, examples and real-world research efforts from dozens of different disciplines are discussed.

Contenu
Preface; Part I. Quantitative Data Collection Sources: 1. Student samples in research Michael Basil; 2. Mechanical Turk: a versatile tool in the Behavioral Scientist's Toolkit Aaron J. Moss, David Hauser, Cheskie Rosenzweig, Jonathan Robinson and Leib Litman; 3. Social media research Rosanna E. Guadagno and Alberto F. Olivieri; 4. Prolific: crowdsourcing academic online research Eyal Peer; 5. Field research Sherry Jueyu Wu; 6. Organizational research Victor E. Sojo and Melissa A. Wheeler; 7. Integrating culture in research Brien K. Ashdown and Angela T. Maitner; 8. Mixed methods and multimethod research Judith Schoonenboom; Part II. Important Methodological Considerations: 9. Reliability Tenko Raykov; 10. Measurement validity in the social and behavioral sciences: some 'Whys' and 'Hows' John J. Skowronski; 11. Statistical power: how not to miss what's right in front of you Erin M. Buchanan; 12. Interdisciplinary and integrative research Rick Szostak; 13. the importance of replication Jon E. Grahe and Kelly M. Cuccolo; 14. The inner workings of registered reports Zoltan Dienes; Part III. Self-Report Measures: 15. Self-Report measures Ting Yan; 16. Question and questionnaire design Sierra Davis Thomander and Jon A. Krosnick; Part IV. Behavioral Measures: 17. Reaction time measures Jeremy D. Heider; 18. Eyetracking research Anjali K. Jogeshwar and Jeff B. Pelz; Part V. Physiological Measures: 19. Measuring hormones: considerations for biospecimen collection, assay and analysis Shannin N. Moody, Amali I. Stephens, Jenny Mai Phan, Olga Miocevic, Amita Kapoor, Wen Wang, Allissa L. Van Steenis, Scott Le, Lotte van Dammen, Elizabeth A Shirtcliff; 20. Cardiovascular measures for social and behavioral research Mary G. Carey; 21. Electrodermal activity (EDA)-Applications and challenges Md-Billal Hossain, Youngsun Kong, Hugo F. Posada-Quintero and Ki H. Chon; 22. Surface electromyography Joseph S. Baschnagel, Moet Aita and Michael McTighe; 23. EEG & ERP Christian Panitz, Richard T. Ward, Jourdan Pouliot and Andreas Keil; Part VI. Qualitative Data Collection Sources: 24. Open-Ended survey questions Gloria Fraser; 25. Qualitative archival data: a call to creativity Constance Jones and Andrea Wiemann; 26. Interviews: processes, strategies, and reflections Zoë B. Corwin and Jordan Harper; 27. Case studies A personal account of choices and dilemmas Christine Meyer; 28. Focus groups Noa Amir, Chandana Guha, Simon Carter and Allison Jauré; 29. Observational data Lesley Baillie, Shanlee Higgins.