The purpose of this 2006 book is to present non-invasive methods of measuring the biological responses to psychosocial stress in humans, in non-laboratory (field) settings. Following the pathways of Seyle's General Adaptation Syndrome, the text first describes how to assess the psychosocial stressors of everyday life and then outlines how to measure the psychological, behavioral, neurohumeral, physiological and immunological responses to them. The book concludes with practical information on assessing special populations, analyzing the often-complicated data that are collected in field stress studies and the ethical treatment of human subjects in stress studies. It is intended to be a practical guide for developing and conducting psychophysiological stress research in human biology. This book will assist students and professionals in designing field studies of stress.
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This 2006 book provides in-depth guidelines for designing a field project on stress in humans. It provides pros and cons of various methods and guides the researcher through every aspect of study design from what containers to use to collect samples, to the most appropriate measures and statistical analysis.Review:
"A textbook that will aid students and professionals in designing field studies of stress...The book's contributors all consider stress a dynamic process."
Rachel Coker, INSIDE BU
"The scope of Measuring Stress in Humans: A Practical Guide for the Field is impressive. Editors Gillian H. Ice and Gary D. James have put together a comprehensive intellectual blend of works that discuss stress theoretically and practically in nonlaboratory (field) settings. For beginner stress researchers, this practical guide can be used to understand the many different ways that stress can be measured, gather relevant references to support areas of inquiry, access resource lists, and incorporate recommended guidelines for overall study design. For experienced stress researchers, this practical guide could be used to understand the latest research trends, uncover missing research gaps, identify alternative research methodologies to test research hypotheses, and to recognize new and advanced techniques for data analysis.
Thomas J. Mernar, University of Southern California
American Journal of Human Biology
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