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• W4207034066 abstract "Informants have been used extensively to provide information on others. However, informant accuracy has rarely been systematically studied. In this paper I argue that studying informant accuracy both helps deepen our understanding about how perceptions of others are configured by personal and network factors and helps develop better methods to use informant reports to correct self-reporting bias. I propose a framework (a systematic conceptualization) that links informant accuracy to not only informant characteristics, but also alter characteristics, dyadic characteristics shared by the informant and the alter, and characteristics of the behavior being reported on. I apply the framework to analyzing self-reports and peer-reports of smoking among 4094 middle school students in China. The analyses present novel strategies to validate a behavior when the truth is unknown, confirm previous findings (e.g., central informants are more accurate) and elaborate selected mechanisms, reveal new findings, and show the distinctive logics of identifying the presence versus the absence of a behavior. The results also indicate that weighting informant reports by informants’ network centrality can more effectively correct self-reporting bias. Lastly, I discuss the implications of this study for various practices, ranging from health monitoring to online rating." @default.
• W4207034066 created "2022-01-26" @default.
• W4207034066 creator A5014395171 @default.
• W4207034066 date "2022-07-01" @default.
• W4207034066 modified "2023-10-14" @default.
• W4207034066 title "You said, they said: A framework on informant accuracy with application to studying self-reports and peer-reports" @default.
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• W4207034066 doi "https://doi.org/10.1016/j.socnet.2021.12.006" @default.
• W4207034066 hasPublicationYear "2022" @default.
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