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"They'll Change What They're Doing If They Know that You're Watching": Measuring Reactivity in Health Behavior Because of an Observer's Presence— A Case from the Peruvian AmazonJohns Hopkins Bloomberg School of Public Health and University Research Co., LLC
Johns Hopkins Bloomberg School of Public Health
Johns Hopkins Bloomberg School of Public Health
Johns Hopkins Bloomberg School of Public Health Social scientists often employ direct observation to study human behavior, but a health researcher who proposes it may face considerable skepticism from colleagues. Concerns about reactivity lead many to question the validity of observational data. Because few studies have measured reactivity, evidence to evaluate this concern is limited. The authors report results from their systematic measurement of reactivity during a Peruvian malaria prevention study. In sixty observations over nine months, observers recorded all behavior they perceived as potentially reactive. The authors then assessed reactivity using iterative coding and analysis. Although they documented 339 reactivity episodes, only two involved behaviors related to study objectives. These findings are consistent with prior research and provide additional evidence that reactivity, though common, need not bias study results. The authors suggest strategies for assessing reactivity that can help reassure skeptics and reinforce the validity of observational data.
Key Words: direct observation • Peru • reactivity • malaria • data validity • triangulation
This version was published on February
1, 2009 Field Methods, Vol. 21, No. 1,
3-25 (2009) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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