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

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

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

Volume 2: Performing Research
Volume 2:
John E. Edlund, Rochester Institute of Technology, New York
Austin Lee Nichols, Central European University, Vienna
December 2024
2
Hardback
9781316518557
£150.00
GBP
Hardback
GBP
Paperback

    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.

    • Provides a detailed introduction to the ins and out of the research process
    • Introduces some of the newest and most promising advances in research methodology
    • Includes contributions from an international group of scholars that specialize in many diverse research fields

    Product details

    December 2024
    Hardback
    9781316518557
    718 pages
    254 × 178 × 38 mm
    1.621kg
    Available

    Table of Contents

    • 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.
      Contributors
    • Michael Basil, Aaron J. Moss, David Hauser, Cheskie Rosenzweig, Jonathan Robinson, Leib Litman, Rosanna E. Guadagno, Alberto F. Olivieri, Eyal Peer, Sherry Jueyu Wu, Victor E. Sojo, Melissa A. Wheeler, Brien K. Ashdown, Angela T. Maitner, Judith Schoonenboom, Tenko Raykov, John J. Skowronski, Erin M. Buchanan, Rick Szostak, Jon E. Grahe, Kelly M. Cuccolo, Zoltan Dienes, Ting Yan, Sierra Davis Thomander, Jon A. Krosnick, Jeremy D. Heider, Anjali K. Jogeshwar, Jeff B. Pelz, 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, Mary G. Carey, Md-Billal Hossain, Youngsun Kong, Hugo F. Posada-Quintero, Ki H. Chon, Joseph S. Baschnagel, Moet Aita, Michael McTighe, Christian Panitz, Richard T. Ward, Jourdan Pouliot, Andreas Keil, Gloria Fraser, Constance Jones, Andrea Wiemann, Zoë B. Corwin, Jordan Harper, Christine Meyer, Noa Amir, Chandana Guha, Simon Carter, Allison Jauré, Lesley Baillie, Shanlee Higgins