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Small, Mario L.; Cook, Jenna M. – Sociological Methods & Research, 2023
This article examines an important and thorny problem in interview research: How to assess whether what people say motivated their actions actually did so? We ask three questions: What specific challenges are at play? How have researchers addressed them? And how should those strategies be evaluated? We argue that such research faces at least five…
Descriptors: Interviews, Qualitative Research, Barriers, Deception
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Keusch, Florian; Bähr, Sebastian; Haas, Georg-Christoph; Kreuter, Frauke; Trappmann, Mark – Sociological Methods & Research, 2023
Researchers are combining self-reports from mobile surveys with passive data collection using sensors and apps on smartphones increasingly more often. While smartphones are commonly used in some groups of individuals, smartphone penetration is significantly lower in other groups. In addition, different operating systems (OSs) limit how mobile data…
Descriptors: National Surveys, Computer Software, Telecommunications, Handheld Devices
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Sivakumar, Vineetha – Sociological Methods & Research, 2021
This article is developed from the contents from one of the chapters the researcher has written as part of her PhD thesis. It discusses various methodological challenges the researcher had to face during the phase of data collection in the prisons of Kerala, India, and the strategies adopted to overcome these challenges. This article is intended…
Descriptors: Correctional Institutions, Research Methodology, Data Collection, Qualitative Research
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Sugie, Naomi F. – Sociological Methods & Research, 2018
Mobile technologies, specifically smartphones, offer social scientists a potentially powerful approach to examine the social world. They enable researchers to collect information that was previously unobservable or difficult to measure, expanding the realm of empirical investigation. For research that concerns resource-poor and hard-to-reach…
Descriptors: Handheld Devices, Disadvantaged, Research Methodology, Social Science Research
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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…
Descriptors: Error of Measurement, Monte Carlo Methods, Data Collection, Simulation