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Advanced Research Methods for the Social and Behavioral Sciences

Advanced Research Methods for the Social and Behavioral Sciences

Advanced Research Methods for the Social and Behavioral Sciences

John E. Edlund, Rochester Institute of Technology, New York
Austin Lee Nichols, Connection Lab
No date available
Adobe eBook Reader
9781108572934
Adobe eBook Reader

    Written by an interdisciplinary team of global experts covering diverse research methods - including research design, research tools, and statistical techniques - this volume focuses on advanced research methods for anyone working in the social and behavioral sciences. The information needed to perform research in the laboratory, the field, or online is mapped out to provide specific applications and tools in applying each method. The issues surrounding reliability, validity, and obtaining consent are explained alongside detailed descriptions of the impact of pre-knowledge on participant behavior, the ways that researchers unintentionally influence participants, and tips on administering suspicion probes and debriefings. The book then lays out bio-physiological measures, eye-tracking methods and technologies, the construction of questionnaires, and reaction-time methodologies without assuming too much prior knowledge. The basics of Bayesian analysis, item response analysis, social network analysis, and meta-analysis are also summarised as the editors combine innovative methods and statistics to showcase how to perform quality research.

    • A research methods volume written for advanced undergraduate students, graduate students, and those who already have a Ph.D. across the social and behavioral sciences
    • Contains contributors that span the social and behavioral sciences to allow for a better understanding of performing research within and across multiple disciplines
    • Supplies specific applications and tools to use in applying each method

    Product details

    No date available
    Adobe eBook Reader
    9781108572934
    0 pages
    47 b/w illus. 8 tables

    Table of Contents

    • List of figures
    • List of tables
    • List of contributors
    • 1. A brief orientation to research methods and statistics for the social and behavioral sciences John E. Edlund and Austin Lee Nichols
    • Part I. Performing Good Research:
    • 2. Reliability and validity of measurement in the social and behavioral sciences Michael F. Wagner and John J. Skowronski
    • 3. Performing research in the laboratory Austin Lee Nichols and John E. Edlund
    • 4. Field research Sinikka Elliott
    • 5. Using the internet for research Rosanna E. Guadagno
    • Part II. Understanding Issues Present throughout the Research Process:
    • 6. Issues in informed consent David S. Festinger, Karen L. Dugosh, Esther Choi and Chloe Sierka
    • 7. Participant preknowledge and attitudes in research Elena C. Papanastasiou
    • 8. Experimenter effects David B. Strohmetz
    • 9. Suspicion probes and debriefing in the social and behavioral sciences Ginette C. Blackhart and Travis D. Clark
    • Part III. The Social and Behavioral Scientist's Toolkit:
    • 10. Physiological measures Eric J. Vanman and Michael C. Philipp
    • 11. Eyetracking research Jeff B. Pelz
    • 12. Questionnaire design Heather M. Stassen and Heather J. Carmack
    • 13. Reaction time measures in the social and behavioral sciences: speed matters Jeremy D. Heider and Jason T. Reed
    • Part IV. Emerging Issues in Social and Behavioral Science Research:
    • 14. Replications and the social and behavioural sciences Courtney K. Soderberg and Timothy M. Errington
    • 15. Research ethics for the social and behavioral sciences Ignacio Ferrero and Javier Pinto
    • 16. Interdisciplinary research Rachel Adams Goertel, James P. Goertel and Mary G. Carey
    • 17. Cross-cultural research Fons J. R. van de Vijver
    • Part V. New Statistical Trends in the Social and Behavioral Sciences:
    • 18. A gentle introduction to Bayesian statistics Milica Miočević and Rens van de Schoot
    • 19. Development and applications of item response theory Clifford E. Hauenstein and Susan E. Embretson
    • 20. Social network analysis Sebastian Leon Schorch and Eric Quintane
    • 21. Meta analysis: an introduction Gregory D. Webster
    • Appendix A: Metafor package R code for meta-analysis examples
    • Index.
      Contributors
    • John E. Edlund, Austin Lee Nichols, Michael F. Wagner, John J. Skowronski, Sinikka Elliott, Rosanna E. Guadagno, David S. Festinger, Karen L. Dugosh, Esther Choi, Chloe Sierka, Elena C. Papanastasiou, David B. Strohmetz, Ginette C. Blackhart, Travis D. Clark, Eric J. Vanman, Michael C. Philipp, Jeff B. Pelz, Heather M. Stassen, Heather J. Carmack, Jeremy D. Heider, Jason T. Reed, Courtney K. Soderberg, Timothy M. Errington, Ignacio Ferrero, Javier Pinto, Rachel Adams Goertel, James P. Goertel, Mary G. Carey, Fons J. R. van de Vijver, Milica Miočević, Rens van de Schoot, Clifford E. Hauenstein, Susan E. Embretson, Sebastian Leon Schorch, Eric Quintane, Gregory D. Webster

    • Editors
    • John E. Edlund , Rochester Institute of Technology, New York

      John E. Edlund is Associate Professor of Psychology at the Rochester Institute of Technology, New York, and serves as the Research Director of Psi Chi: The International Honor Society in Psychology. He has won numerous awards related to teaching and is passionate about the dissemination of psychological knowledge to the world.

    • Austin Lee Nichols , Connection Lab

      Austin Lee Nichols is the Director of Research for the Connection Lab in San Francisco. Prior to this, he worked in various faculty positions around the world in both psychology and management. He has won awards for his teaching, research, and service from various international organizations.