Biophysical Measurement in Experimental Social Science Research: Theory and Practice
Editat de Gigi Fosteren Limba Engleză Paperback – 11 feb 2019
- Demonstrates the strengths and limitations of different tools, in terms of both research objectives and practicality
- Provides hands-on guidance for device usage and data integration and assessment
- Compares and contrasts the use of different biophysical data options for different research objectives and in different disciplines
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Specificații
ISBN-13: 9780128130926
ISBN-10: 012813092X
Pagini: 359
Dimensiuni: 152 x 229 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 012813092X
Pagini: 359
Dimensiuni: 152 x 229 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE
Public țintă
Graduate and PhD students doing experimental research as part of their thesis or as part of a paper, particularly within experimental and behavioral economics, neuro-economics, cognitive psychology, and social psychology, and also possibly some experimental management and/or marketing. Established academics wishing to be brought up to speed on the latest measurement technology available in human behavior laboratories.Cuprins
1. Eye Tracking as a Tool for Examining Cognitive Processes 2. Brain Morphometry for Economists: How do Brain Volume Constraints Affect Our Choices? 3. fMRI in Economics: What Functional Imaging of the Brain Can Add to Behavioral Economics Experiments 4. Skin Conductance in the Study of Politics and Communication 5. Steroid Hormones in Social Science Research 6. An Interoceptive Walk Down Wall Street 7. Mind, Body, Bubble! Psychological and Biophysical Dimensions of Behavior in Experimental Asset Markets 8. Opportunities and Challenges of Portable Biological, Social, and Behavioral Sensing Systems for the Social Sciences 9. Can Social Scientists Use Molecular Genetic Data to Explain Individual Differences and Inform Public Policy? 10. Conclusion
Appendix 1. Getting Started With Eye Tracking 2. Using Heart Rate Variability Measures in Social Science Research
Appendix 1. Getting Started With Eye Tracking 2. Using Heart Rate Variability Measures in Social Science Research