The exclusion from welfare benefits: Resentment and survey attrition in a randomized controlled trial in Mexico

Stecklov, Guy; Weinreb, Alexander; Winters, Paul

doi:10.1016/j.ssresearch.2016.06.002

Cited by 1 publication

(1 citation statement)

References 41 publications

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“…10. In the only study we know of to have tested for resentment effects, in a study community in Mexico, Stecklov, Weinreb, and Winters (2016) find that exclusion from randomized controlled trials may seed resentment and frustration within a community, with deleterious consequences for response rates. Evidence from India suggests the converse is also true: incentives enhance response rates among beneficiaries, yet sometimes at the expense of data quality (Stecklov, Weinreb, and Carletto 2017).…”

Section: Orcid Idmentioning

confidence: 99%

Data Collection as Disruption: Insights from a Longitudinal Study of Young Adulthood

Yeatman

Trinitapoli

2019

Am Sociol Rev

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Research disrupts the social world, often by making respondents aware that they are being observed or by instigating reflection upon particular aspects of life via the very act of asking questions. Building on insights from the first Hawthorne studies, reflexive ethnographers, and methodologists concerned with panel conditioning, we draw on six years of research within a community in southern Malawi to introduce a conceptual framework for theorizing disruption in observational research. We present a series of poignant-yet-typical tales from the field and two additional tools—the refresher-sample-as-comparison and study-focused ethnography—for measuring disruption empirically in a longitudinal study. We find evidence of study effects in many domains of life that relate directly to our scope of inquiry (i.e., union formation, fertility) and in some that extend beyond it (i.e., health). Moreover, some study effects were already known and discussed in the broader community, which was also affected by our research in unintended ways. We conclude that the assumption of non-interactivity in observational research is shaky at best, urging data-gatherers and users to think more seriously about the role of disruption in their work.

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Section: Orcid Idmentioning

confidence: 99%