Advanced Research Methods for the Social and Behavioral Sciences
£39.99
- Editors:
- John E. Edlund, Rochester Institute of Technology, New York
- Austin Lee Nichols, Connection Lab
- Date Published: March 2019
- availability: In stock
- format: Paperback
- isbn: 9781108441919
£
39.99
Paperback
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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.
Read more- 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
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×Product details
- Date Published: March 2019
- format: Paperback
- isbn: 9781108441919
- length: 386 pages
- dimensions: 253 x 178 x 18 mm
- weight: 0.82kg
- contains: 47 b/w illus. 8 tables
- availability: In stock
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.
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