
Book contents
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
- Cambridge Handbooks in Psychology
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I Quantitative Data Collection Sources
- Part II Important Methodological Considerations
- Part III Self-Report Measures
- Part IV Behavioral Measures
- Part V Physiological Measures
- 19 Measuring Hormones: Considerations for Biospecimen Collection, Assay, and Analysis
- 20 Cardiovascular Measures for Social and Behavioral Research
- 21 Electrodermal Activity: Applications and Challenges
- 22 Surface Electromyography
- 23 EEG and ERP
- Part VI Qualitative Data Collection Sources
- Index
- References
20 - Cardiovascular Measures for Social and Behavioral Research
from Part V - Physiological Measures
Published online by Cambridge University Press: 12 December 2024
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
- Cambridge Handbooks in Psychology
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I Quantitative Data Collection Sources
- Part II Important Methodological Considerations
- Part III Self-Report Measures
- Part IV Behavioral Measures
- Part V Physiological Measures
- 19 Measuring Hormones: Considerations for Biospecimen Collection, Assay, and Analysis
- 20 Cardiovascular Measures for Social and Behavioral Research
- 21 Electrodermal Activity: Applications and Challenges
- 22 Surface Electromyography
- 23 EEG and ERP
- Part VI Qualitative Data Collection Sources
- Index
- References
Summary
Cardiovascular measures for social and behavioral research have been historically popular because they are often non-invasive, inexpensive, and capture the dynamic nature of cardiac physiology. Among adults, many measures are static, like height – they do not change over time – but importantly, cardiovascular measures change moment-to-moment. For example, measuring the heart rate is easy and valuable for documenting different health conditions and can be predictive of overall longevity and disease. Electronic medical records provide access to retrospective high-quality cardiac measures; plus, now that consumer wearable devices are ubiquitous, it is even easier to prospectively collect cardiovascular measures that are continuous and automatically obtained. Thus, cardiovascular measures are important metrics of overall health, and their dynamic nature is important to capture with both established and novel scientific instruments. This chapter will focus on physiological measures that validate psychometric data, describe types of cardiovascular measures of health, and present future directions of cardiovascular measures in research.
- Type
- Chapter
- Information
- The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral SciencesVolume 2: Performing Research, pp. 455 - 474Publisher: Cambridge University PressPrint publication year: 2024